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  • 1.
    Barata, J.
    et al.
    Universidade Nova de Lisboa /UNINOVA, Quinta da Torre, 2829-516, Caparica, Portugal .
    Ribeiro, Luis
    Universidade Nova de Lisboa /UNINOVA, Quinta da Torre, 2829-516, Caparica, Portugal.
    Colombo, A-W
    P&T/H6O HUB, Schneider Electric GmbH, Steinheimer Straße 117, 63500, Seligenstadt, Germany.
    A Service-oriented Shop Floor to Support Collaboration in Manufacturing Networks2010In: Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management / [ed] Lyes Benyoucef and Bernard Grabot, Springer London, 2010, p. 483-503Chapter in book (Refereed)
    Abstract [en]

    The present work addresses the problem of shop-floor agility, presenting it as the fundamental cornerstone for true agility and responsiveness of an enterprise willing to participate in highly dynamic collaborative organizations and supply chains. Clearly, as the economic climate toughens, the exploration of the increasingly volatile business opportunities requires such complex organizations. The feasibility of the architecture proposed is demonstrated in a pilot implementation in a near-real shop-floor. Emerging web standards such as the device profile for web services were used to guarantee cross-layer/abstraction interoperability ensuring that the shop-floor reacts positively to adjustments in the supply chain.

  • 2.
    Barata, José
    et al.
    Electrical Engineering Department, New University of Lisbon, Monte de Caparica, Portuga.
    Ribeiro, Luis
    UNINOVA institute, , Monte de Caparica, Portugal.
    Colombo, Armando
    Schneider Electric GmbH, P&T/H6O HUB, Seligenstadt, German.
    Diagnosis using service oriented architectures (SOA)2007In: Industrial Informatics, 2007 5th IEEE International Conference on  (Volume: 2), IEEE , 2007, Vol. 2, p. 1203-1208Conference paper (Refereed)
    Abstract [en]

    Service Oriented Architecture (SOA) is an emergent approach to industrial control that accompanies new industrial paradigms in the response to the continuously changing socio-economic challenges posed to modern and future enterprises. Maximizing the profit under adverse market conditions is also a matter of cost cut and the use of distributed and intelligent devices with efficient diagnosis mechanisms can help improving equipment's uptime either by reacting before a breakdown or recovering gracefully from failures.

  • 3.
    Barata, José
    et al.
    Departamento de Engenharia Electrotecnica Universidade Nova de Lisboa Monte da Caparica, Portugal.
    Ribeiro, Luis
    Departamento de Engenharia Electrotecnica Universidade Nova de Lisboa Monte da Caparica, Portugal.
    Onori, Mauro
    KTH-Production Eng. Dept. EPS Group Stockholm, Sweden.
    Diagnosis on evolvable production systems2007In: Industrial Electronics, 2007. ISIE 2007. IEEE International Symposium on, 2007, p. 3221-3226Conference paper (Refereed)
    Abstract [en]

    Evolvable production systems (EPS) lies at the leading edge of the new paradigms currently emerging as a response to the continuously changing socio-economic challenges that modern enterprises have to deal with. Maximizing the profit under adverse market conditions is also a matter of cost cut and EPS targets this through an efficient diagnosis mechanism embedded in future production systems. Evolvable production systems goes beyond other manufacturing paradigms, and offers intelligent devices with biologically inspired behaviours, heavily dependent on self-diagnosis, self healing and other autonomous actions to ensure the systems' proper functioning and a timely response and recover from unpredictable situations.

  • 4.
    Camarinha-Matos, Luis M
    et al.
    Faculty of Sciences and Technology, New University of Lisbon.
    Pereira, Pedro
    Faculty of Sciences and Technology, New University of Lisbon.
    Ribeiro, Luis
    Faculty of Sciences and Technology, New University of Lisbon.
    Emerging Trends in Technological Innovation: First IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2010, Costa de Caparica, Portugal, February 22-24, 2010. Proceedings2010Book (Refereed)
    Abstract [en]

    Doctoral programs in science and engineering are important sources of innovative ideas and techniques that might lead to new products and technological innovation. Certainly most PhD students are not experienced researchers and are in the process of learning how to do research. Nevertheless, a number of empiric studies also show that a high number of technological innovation ideas are produced in the early careers of researchers. The combination of the eagerness to try new approaches and directions of young doctoral students with the experience and broad knowledge of their supervisors is likely to result in an important pool of innovation potential.

    The DoCEIS doctoral conference on Computing, Electrical and Industrial Engineering aims at creating a space for sharing and discussing ideas and results from doctoral research in these inter-related areas of engineering. Innovative ideas and hypotheses can be better enhanced when presented and discussed in an encouraging and open environment. DoCEIS aims to provide such an environment, releasing PhD students from the pressure of presenting their propositions in more formal contexts.

    The first edition of DoCEIS, which was sponsored by SOCOLNET, IFIP and IEEE Industrial Electronics Society, attracted a considerable number of paper submissions from a large number of PhD students (and their supervisors) from 15 countries. This book comprises the works selected by the International Program Committee for inclusion in the main program and covers a wide spectrum of topics, ranging from collaborative enterprise networks to microelectronics. Thus, novel results and ongoing research in the following areas were presented, illustrated, and discussed:

    • Value systems alignment in enterprise networks
    • Collaborative networks governance and support
    • Information modelling and management- Risk assessment and decision support based on imprecise information
    • Evolvable manufacturing systems and cooperative robotics
    • Systems modelling and control
    • Advances in telecommunications and electronics
    • Sensorial perception and signal processing
    • Energy systems and novel electrical machinery

    As a gluing element, all authors were asked to explicitly indicate the (potential) contribution of their work to technological innovation.

    We expect that this book will provide readers with an inspiring set of promising ideas, presented in a multi-disciplinary context, and that by their diversity these results can trigger and motivate new research and development directions.

    We would like to thank all the authors for their contributions. We also appreciate the dedication of the DoCEIS Program Committee members who both helped with the selection of articles and contributed with valuable comments to improve their quality.

    February 2009

    LuÌs M. Camarinha-Matos

    Pedro Pereira

    Luis Ribeiro

  • 5.
    Di Orio, Giovanni
    et al.
    Dept. of Electrotechnical Engineering CTS – UNINOVA, Portugal.
    Rocha, Andre
    Dept. of Electrotechnical Engineering CTS – UNINOVA, Portugal.
    Ribeiro, Luis
    Linköping University, Department of Management and Engineering, Manufacturing Engineering. Linköping University, Faculty of Science & Engineering.
    Barata, Jose
    Dept. of Electrotechnical Engineering CTS – UNINOVA, Portugal.
    The PRIME Semantic Language: Plug and Produce in Standard- based Manufacturing Production Systems2015In: Proceedings of the Flexible Automation and Intelligent Manufacturing Conference, 2015Conference paper (Other academic)
    Abstract [en]

    Nowadays manufacturing production systems are becoming more and more responsive in order to succeed in ahighly unstable environment. The capability of a production system to effectively and efficiently adapt and evolveto face the changing requirements – imposed by volatile and dynamic global markets – is a necessary conditionto enable manufacturing enterprises to be agile. Since the agility of a manufacturing enterprise is always limitedby the agility of its own building blocks than it needs to be spread over the whole enterprise including the operationand information technologies (OT/IT). Turning to production systems, one of the significant challenges isrepresented by the possibility to provide easy and rapid (re-)configuration of their internal components and/orprocesses. Innovative technologies and paradigms have been explored during the years that combined with theincreasing advancement in manufacturing technologies enable the implementation of the “plug and produce”paradigm. The “plug and produce” paradigm is the foundation of any agile production system, since to be agile itis inevitably required to reduce the installation and (re-)engineering activities time – changing/adapting the systemto new requirements – while promoting configuration rather than programming. Therefore, the “plug andproduce” paradigm is a necessary but not sufficient condition for implementing agile production systems. Modernproduction systems are typically known for their plethora of heterogeneous component/equipment. In this complexscenario, the implementation of the “plug and produce” paradigm implies the existence of a well-definedontological model to support components/equipment abstraction with the objective to allow interactions,collaboration and knowledge sharing between them. The PRIME semantic language specifies the semanticstructure for the knowledge models and overall system communication language.

  • 6.
    Dias Ferreira, Joao
    et al.
    EPS Group, Dep. of Production Engineering Kungliga Tekniska Högskolan Stockholm, Sweden.
    Ribeiro, Luis
    Uninova, Dep. de Eng. Electrotcnica, F.C.T. Universidade Nova de Lisboa Lisbon, Portuga.
    Onori, Mauro
    EPS Group, Dep. of Production Engineering Kungliga Tekniska Högskolan Stockholm, Sweden.
    Barata, José
    Uninova, Dep. de Eng. Electrotcnica, F.C.T. Universidade Nova de Lisboa Lisbon, Portuga.
    Bio-inspired self-organising methodologies for production emergence2013In: Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on, IEEE , 2013, p. 3835-3841Conference paper (Refereed)
    Abstract [en]

    With the emergence of new modern manufacturing paradigms new concepts, originally from the complexity sciences started to be introduced in the manufacturing systems, rendering traditional control approaches insufficient. Therefore, new approaches were developed, supported by the modern manufacturing paradigms bio-inspired background. However, somehow along the way the physical and logical nature of the system was partially lost, leading to the convergence of approaches towards more traditional systems, 'neglecting' their bio-inspired principles. With the present work the authors aim to introduce and analyse two new different self-organising approaches that try to bring the focus of manufacturing systems, again to the bio-inspired principles. For this purpose, in the context of this work, manufacturing systems are approached from a bottom-up perspective, in an attempt to reduce the specification of the production processes to the minimum and foster the production emergence. A test case is considered, to draw initial conclusions.

  • 7.
    Dias-Ferreira, João
    et al.
    Production Engineering, The Royal Institute of Technology (KTH), Stockholm, Sweden.
    Ribeiro, Luis
    Linköping University, Department of Management and Engineering, Manufacturing Engineering. Linköping University, Faculty of Science & Engineering.
    Akillioglu, Hakan
    Production Engineering, The Royal Institute of Technology (KTH), Stockholm, Sweden.
    Neves, Pedro
    Production Engineering, The Royal Institute of Technology (KTH), Stockholm, Sweden.
    Onori, Mauro
    Production Engineering, The Royal Institute of Technology (KTH), Stockholm, Sweden.
    BIOSOARM: a bio-inspired self-organising architecture for manufacturing cyber-physical shopfloors2016In: Journal of Intelligent Manufacturing, ISSN 0956-5515, E-ISSN 1572-8145, p. 1-24Article in journal (Refereed)
    Abstract [en]

    Biological collective systems have been an important source of inspiration for the design of production systems, due to their intrinsic characteristics. In this sense, several high level engineering design principles have been distilled and proposed on a wide number of reference system architectures for production systems. However, the application of bio-inspired concepts is often lost due to design and implementation choices or are simply used as heuristic approaches that solve specific hard optimization problems. This paper proposes a bio-inspired reference architecture for production systems, focused on highly dynamic environments, denominated BIO-inspired Self-Organising Architecture for Manufacturing (BIOSOARM). BIOSOARM aims to strictly adhere to bio-inspired principles. For this purpose, both shopfloor components and product parts are individualized and extended into the virtual environment as fully decoupled autonomous entities, where they interact and cooperate towards the emergence of a self-organising behaviour that leads to the emergence of the necessary production flows. BIOSOARM therefore introduces a fundamentally novel approach to production that decouples the system’s operation from eventual changes, uncertainty or even critical failures, while simultaneously ensures the performance levels and simplifies the deployment and reconfiguration procedures. BIOSOARM was tested into both flow-line and “job shop”-like scenarios to prove its applicability, robustness and performance, both under normal and highly dynamic conditions.

  • 8.
    Farid, Amro M.
    et al.
    Masdar Institute of Science & Technology, Masdar City, Abu Dhabi, UAE.
    Ribeiro, Luis
    Linköping University, Department of Management and Engineering, Manufacturing Engineering. Linköping University, The Institute of Technology.
    An Axiomatic Design of a Multi-Agent Reconfigurable Manufacturing System Architecture2014In: Proceedings of ICAD2014 The Eighth International Conference on Axiomatic Design Campus de Caparica – September 24-26, 2014 / [ed] António M. Gonçalves-Coelho, Miguel Cavique and António Mourão, 2014, p. 51-58Conference paper (Refereed)
    Abstract [en]

    In recent years, the fields of reconfigurable manufacturing systems, holonic manufacturing systems, and multi-agent systems have made technological advances to support the ready reconfiguration of automated manufacturing systems.  While these technological advances have demonstrated robust operation and been qualitatively successful in achieving reconfigurability, their ultimate industrial adoption remains limited.  Amongst the barriers to adoption has been the relative absence of formal and quantitative multi-agent system design methodologies based upon reconfigurability measurement.  Hence, it is not clear 1.) the degree to which these designs have achieved their intended level of reconfigurability 2.) which systems are indeed quantitatively more reconfigurable and 3.) how these designs may overcome their design limitations to achieve greater reconfigurability in subsequent design iterations.  To our knowledge, this paper is the first multi-agent system reference architecture for reconfigurable manufacturing systems driven by a quantitative and formal design approach.  It is rooted in an established engineering design methodology called axiomatic design for large flexible engineering systems and draws upon design principles distilled from prior works on reconfigurability measurement.  The resulting architecture is written in terms of the mathematical description used in reconfigurability measurement which straightforwardly allows instantiation for system-specific application.

  • 9.
    Farid, Amro M.
    et al.
    Dartmouth Coll, NH 03755 USA; MIT, MA 02139 USA.
    Ribeiro, Luis
    Linköping University, Department of Management and Engineering, Manufacturing Engineering. Linköping University, Faculty of Science & Engineering.
    An Axiomatic Design of a Multiagent Reconfigurable Mechatronic System Architecture2015In: IEEE Transactions on Industrial Informatics, ISSN 1551-3203, E-ISSN 1941-0050, Vol. 11, no 5, p. 1142-1155Article in journal (Refereed)
    Abstract [en]

    In recent years, the fields of reconfigurable manufacturing systems, holonic manufacturing systems, and multiagent systems have made technological advances to support the ready reconfiguration of automated manufacturing systems. While these technological advances have demonstrated robust operation and been qualitatively successful in achieving reconfigurability, their ultimate industrial adoption remains limited. Among the barriers to adoption has been the relative absence of formal and quantitative multiagent system design methodologies based on reconfigurability measurement. Hence, it is not clear that the degree to which these designs have achieved their intended level of reconfigurability, which systems are indeed quantitatively more reconfigurable, and how these designs may overcome their design limitations to achieve greater reconfigurability in subsequent design iterations. To our knowledge, this paper is the first multiagent system reference architecture for reconfigurable manufacturing systems driven by a quantitative and formal design approach. It is rooted in an established engineering design methodology called axiomatic design for large flexible engineering systems and draws upon design principles distilled from prior works on reconfigurability measurement. The resulting architecture is written in terms of the mathematical description used in reconfigurability measurement, which straightforwardly allows instantiation for system-specific application.

  • 10.
    Ferreira, Joao Dias
    et al.
    Kungliga Tekniska Högskolan, Stockholm, Sweden.
    Ribeiro, Luis
    Linköping University, Department of Management and Engineering, Manufacturing Engineering. Linköping University, The Institute of Technology.
    Akillioglu, Hakan
    Kungliga Tekniska Högskolan, Stockholm, Sweden.
    Neves, Pedro
    Kungliga Tekniska Högskolan, Stockholm, Sweden.
    Maffei, Antonio
    Kungliga Tekniska Högskolan, Stockholm, Sweden.
    Characterization of an Agile Bio-inspired Shop-Floor2014In: Proceedings2014 12th IEEE International Conference on Industrial Informatics (INDIN), Porto Alegre, RS, Brazil 27-30 July, 2014, IEEE conference proceedings, 2014, p. 404-410Conference paper (Refereed)
    Abstract [en]

    Sustainability is currently one of the biggest challenges and driver of manufacturing industry. Nevertheless, with the decrease of product life cycles, the consumption of raw materials as well as the obsolescence of production systems increases. In this sense, agile shop-floors that enact companies with the ability to quickly reconfigure their shop-floors by deploying or removing modules are the key for sustainable industrial development. This paper attempts to characterize an innovative approach that relies on bio-inspired concepts as the main control mechanism, in order to foster sustainability by attaining the necessary shop-flooragility. Furthermore an experimental setup is presented and the results are analysed, in order to understand the influence and impact of the main properties that characterize the approach towards the system performance.

  • 11.
    Ferreira, Joao Dias
    et al.
    EPS Group, Dep. of Production Engineering Kungliga Tekniska Högskolan Stockholm, Sweden.
    Ribeiro, Luis
    Uninova, Dep. de Eng. Electrotcnica, F.C.T. Universidade Nova de Lisboa Lisbon, Portugal.
    Onori, Mauro
    EPS Group, Dep. of Production Engineering Kungliga Tekniska Högskolan Stockholm, Sweden.
    Barata, Jose
    Uninova, Dep. de Eng. Electrotcnica, F.C.T. Universidade Nova de Lisboa Lisbon, Portugal.
    Bio-inspired self-organised mechatronic-agent interactions to support product emergence2013In: ProceedingsIECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society,, IEEE , 2013, p. 7434-7439Conference paper (Refereed)
    Abstract [en]

    The emergence of modern manufacturing paradigms together with the growing interest on distributed architectures has been increasing the use of biologically inspired solutions. However, somehow along the way, developed approaches have converged towards more traditional systems where the physical and logical decoupled nature of the system has been partially lost. In this context, the presented work aims to introduce and analyse a new fully physically and logically decoupled bio-inspired self-organising approach that tries to bring to the mechatronic-agent based manufacturing architectures the dynamics of biological systems. Furthermore, the manufacturing systems are approached from a bottom-up perspective in an attempt to reduce the specification of the production processes to the minimum.

  • 12.
    Ferreira, Joao
    et al.
    EPS Group, Dep. of Production Engineering, KTH, Stockholm, Sweden.
    Ribeiro, Luis
    Uninova, Dept. Eng. Electrotecnica, Faculdade de Ciencias e Tecnologia, Umversldade Nova de Lisboa, 2829-516 Caparica, Portugal.
    Neves, Pedro
    EPS Group, Dep. of Production Engineering, KTH, Stockholm, Sweden.
    Akillioglu, Hakan
    EPS Group, Dep. of Production Engineering, KTH, Stockholm, Sweden.
    Onori, Mauro
    EPS Group, Dep. of Production Engineering, KTH, Stockholm, Sweden.
    Barata, Jose
    Uninova, Dept. Eng. Electrotecnica, Faculdade de Ciencias e Tecnologia, Umversldade Nova de Lisboa, 2829-516 Caparica, Portugal.
    Visualization tool to support multi-agent mechatronic based systems2012In: IECON 2012-38th Annual Conference on IEEE Industrial Electronics Society, IEEE , 2012, p. 4372-4377Conference paper (Refereed)
    Abstract [en]

    There has been an increasing interest from industry in distributed architectures since they promote a plug-and-produce and robust environment, where adaptability and fault tolerance are native. Much research has been conducted in this field mainly supported by multi-agent and service oriented technologies. Nevertheless the retrieval and visualization of information in distributed systems is a relatively unexplored area. Although the dynamic nature of the multi-agent systems allows gathering information in a prompt manner, doing so might affect the performance of the mechatronic agents. In this sense, the present paper details the architecture of a visualization tool that introduces a reliable but non-invasive approach to retrieve data from distributed platforms as well as a new way to visualize and interpret the information gathered from mechatronic based systems.

  • 13.
    Ferreira, João Dias
    et al.
    Kungliga Tekniska Högskolan, Stockholm, Sweden .
    Ribeiro, Luis
    Universidade Nova de Lisboa, Monte da Caparica, Portugal .
    Onori, Mauro
    Kungliga Tekniska Högskolan, Stockholm, Sweden.
    Barata, Jose
    Universidade Nova de Lisboa, Monte da Caparica, Portugal.
    Challenges and Properties for Bio-inspiration in Manufacturing2014In: Technological Innovation for Collective Awareness Systems: 5th IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2014, Costa de Caparica, Portugal, April 7-9, 2014. Proceedings / [ed] Luis M. Camarinha-Matos, Nuno S. Barrento, Ricardo Mendonça, Springer Berlin/Heidelberg, 2014, Vol. 423, p. 139-148Chapter in book (Refereed)
    Abstract [en]

    The increasing market fluctuations and customized products demandhave dramatically changed the focus of industry towards organizationalsustainability and supply chain agility. Such critical changes inevitably have adirect impact on the shop-floor operational requirements. In this sense, anumber of innovative production paradigms emerged, providing the necessarytheoretical background to such systems. Due to similarities between innovativemodular production floors and natural complex systems, modern paradigmstheoretically rely on bio-inspired concepts to attain the characteristics ofbiological systems. Nevertheless, during the implementation phase, bio-inspiredprinciples tend to be left behind in favor of more traditional approaches,resulting in simple distributed systems with considerable limitations regardingscalability, reconfigurable ability and distributed problem resolution.This paper analyzes and presents a brief critical review on how bio-inspiredconcepts are currently being explored in the manufacturing environment, in anattempt to formulate a number of challenges and properties that need to beconsidered in order to implement manufacturing systems that closely follow thebiological principles and consequently present overall characteristics ofcomplex natural systems.

  • 14.
    Frei, Regina
    et al.
    New University of Lisbon, Department of Electrot echnical Engineering, and the UNINOVA research institute, Caparica, Portugal.
    Ribeiro, Luis
    New University of Lisbon, Department of Electrot echnical Engineering, and the UNINOVA research institute, Caparica, Portugal.
    Barata, José
    New University of Lisbon, Department of Electrot echnical Engineering, and the UNINOVA research institute, Caparica, Portugal.
    Semere, Daniel
    Royal In stitute of Technology, Department of Production Engineering, Stockholm, Sweden.
    Evolvable assembly systems: Towards user friendly manufacturing2007In: Assembly and Manufacturing, 2007. ISAM’07. IEEE International Symposium on, IEEE , 2007, p. 288-293Conference paper (Refereed)
    Abstract [en]

    Besides coping with the highly dynamic product and production system life cycles with ever-changing requirements, modern assembly systems also need to be user-friendly. Their modularity at fine granularity-level combined with local intelligence and a distributed control approach allows the systems to evolve together with the requirements -but their complexity would soon not be manageable from outside any more if user-friendliness was not considered a major criterion. Systems must be made to serve their users. Thanks to Self-* capabilities, systems can gain an increasingly high degree of autonomy. Diagnosis plays a particularly important role in this process.

  • 15.
    Leitao, Paulo
    et al.
    Polytech Institute Braganca, Brazil; Artificial Intelligence and Comp Science Lab LIACC, Portugal.
    Karnouskos, Stamatis
    SAP, Germany.
    Ribeiro, Luis
    Linköping University, Department of Management and Engineering, Manufacturing Engineering. Linköping University, Faculty of Science & Engineering.
    Lee, Jay
    University of Cincinnati, OH 45221 USA.
    Strasser, Thomas
    AIT Austrian Institute Technology, Austria.
    Colombo, Armando W.
    University of Appl Science Emden Leer, Germany; Schneider Elect Ind Business, France.
    Smart Agents in Industrial Cyber-Physical Systems2016In: Proceedings of the IEEE, ISSN 0018-9219, E-ISSN 1558-2256, Vol. 104, no 5, p. 1086-1101Article in journal (Refereed)
    Abstract [en]

    Future industrial systems can be realized using the cyber-physical systems (CPSs) that advocate the coexistence of cyber and physical counterparts in a network structure to perform the systems functions in a collaborative manner. Multiagent systems share common ground with CPSs and can empower them with a multitude of capabilities in their efforts to achieve complexity management, decentralization, intelligence, modularity, flexibility, robustness, adaptation, and responsiveness. This work surveys and analyzes the current state of the industrial application of agent technology in CPSs, and provides a vision on the way agents can effectively enable emerging CPS challenges.

  • 16.
    Leitao, Paulo
    et al.
    Polytechnic Institute of Bragança, Portugal.
    Karnouskos, Stamatis
    SAP, Karlsruhe, Germany.
    Ribeiro, Luis
    Linköping University, Department of Management and Engineering, Manufacturing Engineering. Linköping University, Faculty of Science & Engineering.
    Moutis, Panayiotis
    Carnegie Mellon University, USA.
    Barbosa, Jose
    Polytechnic Institute of Bragança, Portugal.
    Strasser, Thomas I
    AIT Austrian Institute of Technology, Austria.
    Common practices for integrating industrial agents and low level automation functions2017Conference paper (Refereed)
    Abstract [en]

    Industrial agent technologies have been integrated in key elements coupling industrial systems and software logic, which is an important issue in the design of cyber-physical systems. Although several efforts have been tried out over the last decades to integrate software agents with physical hardware devices, and some commonalities can be observed among the existing practices, there is no uniform way overall. This work presents an empirical survey of existing practices in three application area, namely factory automation, power & energy systems and building automation. It identifies pertaining common issues and discusses how they integrate low level automation functions by utilizing industrial agents. The surveyed practices reveal high diversity, customized traditional integration focusing mostly on I/O functions, without security, and an overall approach that is mostly coupled rather than embedded.

  • 17.
    Leitao, Paulo
    et al.
    Polytech Institute Braganca, Portugal.
    Ribeiro, Luis
    Linköping University, Department of Management and Engineering, Manufacturing Engineering. Linköping University, Faculty of Science & Engineering.
    Lee, Jay
    University of Cincinnati, OH 45221 USA.
    Guest Editorial Special Section on Smart Agents and Cyber-Physical Systems for Future Industrial Systems2017In: IEEE Transactions on Industrial Informatics, ISSN 1551-3203, E-ISSN 1941-0050, Vol. 13, no 2, p. 657-659Article in journal (Other academic)
    Abstract [en]

    n/a

  • 18.
    Leitão, Paulo
    et al.
    Polytechnic Institute of Bragança, Campus Sta Apolónia, Apartado 1134, 5301-857 Bragança, Portugal .
    Ribeiro, Luis
    Linköping University, Department of Management and Engineering, Manufacturing Engineering. Linköping University, Faculty of Science & Engineering.
    Barata, José
    New University of Lisbon, Faculties of Science and Technology, Caparica, Portugal.
    Vogel-Heuser, Birgit
    Technische Universität München, Germany.
    Summer school on intelligent agents in automation: Hands-on educational experience on deploying industrial agents2016In: IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, Institute of Electrical and Electronics Engineers (IEEE), 2016, p. 6602-6607Conference paper (Refereed)
    Abstract [en]

    Cyber-physical systems constitutes a framework to develop intelligent, distributed, resilient, collaborative and cooperative systems, promoting the fusion of computational entities and physical devices. Agent technology plays a crucial role to develop this kind of systems by offering a decentralized, distributed, modular, robust and reconfigurable control structure. This paper describes the implementation of a summer school aiming to enhance the participants’ knowledge in the field of multi-agent systems applied to industrial environments, being able to gain the necessary theoretical and practical skills to develop real industrial agent based applications. This is accomplished in an international framework where individual knowledge and experiences are shared in a complementary level.

  • 19.
    Lima, Celson
    et al.
    Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, 2829- 516 Caparica, Portugal.
    Gomes, Vasco
    Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, 2829- 516 Caparica, Portugal.
    Lima, José
    Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, 2829- 516 Caparica, Portugal.
    Martins, João F
    Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, 2829- 516 Caparica, Portugal.
    Barata, José
    Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, 2829- 516 Caparica, Portugal.
    Ribeiro, Luis
    Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, 2829- 516 Caparica, Portugal.
    Cândido, Gonçalo
    Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, 2829- 516 Caparica, Portugal.
    A standard-based software infrastructure to support energy efficiency using renewable energy sources2011In: Industrial Electronics (ISIE), 2011 IEEE International Symposium on, IEEE , 2011, p. 1175-1180Conference paper (Refereed)
    Abstract [en]

    The NEMO&CODED (NEMO) project targets the development of a standard-based software infrastructure, aiming to provide the appropriate support to manage energy-related devices considering an environment where energy is generated, stored, distributed, and consumed in a rational and environmentally correct way. This paper presents and discusses the results achieved so far by the project, with special emphasis on the implementation of a web services-based wrapper to seamlessly integrate new energy sources (renewable ones) into the NEMO network. Such a wrapper relies on the adoption of two standards, namely DPWS and the IEC 61850 series. The former handles service oriented related aspects whilst the latter helps to support the interoperability of Intelligent Electronic Devices (IEDs), through the use of the Abstract Communication Service Interface (ACSI) and the Substation Configuration Language (SCL). Main problems raised and solutions found are also included in the paper as well as the future steps to be performed.

  • 20.
    Lima, Celson
    et al.
    CTS, Uninova, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.
    Martins, João F
    CTS, Uninova, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.
    Barata, José
    CTS, Uninova, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.
    Ribeiro, Luis
    CTS, Uninova, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.
    Cândido, Gonçalo
    CTS, Uninova, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.
    Towards a service based infrastructure to improve efficiency into energy systems: The NEMO&CODED quest2010In: 10th IFAC Workshop on Intelligent Manufacturing Systems (2010) / [ed] Leitao, Paulo; Pereira, Carlos Eduardo; Barata, Jose, International Federation of Automatic Control , 2010, Vol. 10, p. 162-167Conference paper (Refereed)
    Abstract [en]

    Energy efficiency is absolutely one of the greatest challenges of our days. The whole chain of actors involved in the generation, distribution, and consumption of energy are not only concerned but also acting towards a more rational and efficient use of energy. Additionally, the use of renewable energy sources also reflects the seriousness of the subject and helps to set up the current landscape on this matter. This is the rationale driving the NEMO&CODED (NEMO) project, which targets the development of a software infrastructure, based on web services and semantic resources aiming to provide the appropriate support to manage energy-related devices (e.g. renewable energy sources, smart meters, etc.) considering an environment where energy is generated, stored, distributed, and consumed in a rational and environmentally correct way. This shall be attained through the comprehensive implementation and instantiation of computational intelligence at resource level and the development of mechanisms that enable the seamless, and online, control/monitoring of aggregations of resources. This paper discusses the NEMO project, namely its vision, goals, preliminary software architecture, evaluation and assessment scenarios, and also points out the further work (research, design, and implementation) to be performed.

  • 21.
    Lima, José
    et al.
    Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa 2 Intituto de Engenharia e Geociências, Universidade Federal do Oeste do Pará, Brasil.
    Lima, Celson
    Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa 2 Intituto de Engenharia e Geociências, Universidade Federal do Oeste do Pará, Brasil.
    Gomes, Vasco
    Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa 2 Intituto de Engenharia e Geociências, Universidade Federal do Oeste do Pará, Brasil.
    Martins, João F
    Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa 2 Intituto de Engenharia e Geociências, Universidade Federal do Oeste do Pará, Brasil.
    Barata, José
    Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa 2 Intituto de Engenharia e Geociências, Universidade Federal do Oeste do Pará, Brasil.
    Ribeiro, Luis
    Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa 2 Intituto de Engenharia e Geociências, Universidade Federal do Oeste do Pará, Brasil.
    Cândido, Gonçalo
    Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa 2 Intituto de Engenharia e Geociências, Universidade Federal do Oeste do Pará, Brasil.
    Dpws as specific communication service mapping for iec 618502011In: 9th IEEE International Conference on Industrial Informatics (INDIN), 2011, IEEE , 2011, p. 193-198Conference paper (Refereed)
    Abstract [en]

    The present article describes the development of a standard-based software infrastructure, supported by the Service Oriented Architecture paradigm, for the management of complex distributed energy systems where efficient energy production, distribution and consumption are considered. The work has been developed on the context of the NEMO&CODED project (NEMO) and focuses on NEMO's architectural aim to enable seamless device integration, with plug and play features and vendor independent concepts, using the IEC 61850 ACSI model and services and adopting DPWS as Specific Communication Service Mapping.

  • 22.
    Neves, P
    et al.
    Industrial Production Department KTH The Royal Institute of Technology Stockholm, Sweden.
    Ferreira, J
    Industrial Production Department KTH The Royal Institute of Technology Stockholm, Sweden.
    Onori, M
    Industrial Production Department KTH The Royal Institute of Technology Stockholm, Sweden.
    Ribeiro, Luis
    Centre of Technologies and Systems UNINOVA Monte da Caparica, Portugal.
    Barata, J
    Centre of Technologies and Systems UNINOVA Monte da Caparica, Portugal.
    Prospection of Methods to Support Design and Configuration of Self-Organizing Mechatronic Systems2013In: Proceedings 2013 IEEE International Conference on Systems, Man, and Cybernetics SMC2013, IEEE , 2013, p. 3854-3861Conference paper (Refereed)
    Abstract [en]

    There is a substantial difference between traditional industrial systems and systems resultant from emerging production paradigms in terms of both conceptualization and implementation. Backwards compatibility is fundamental in assessing the potential transitional period whereby legacy technology will operate under the conceptual framework of modern approaches. However, before this point can be reached it is necessary to further investigate, assess and quantify the behavior of modern approaches that increasingly rely in self-organization. This article's goal is to give an overview of the behavioral assessment problematic, in the context of self-organizing mechatronic systems, and provide a discussion on opportunities to explore rule-extraction techniques to better understand the influence of design and configuration on the overall system behavior. Although the discussion widely applies to almost all emerging production paradigms the Evolvable Production System paradigm is used as case to bring context and clarity to the discussion.

  • 23.
    Neves, Pedro
    et al.
    KTH Royal Institute Technology, Sweden.
    Ribeiro, Luis
    Linköping University, Department of Management and Engineering, Manufacturing Engineering. Linköping University, Faculty of Science & Engineering.
    Dias-Ferreira, Joao
    KTH Royal Institute Technology, Sweden.
    Onori, Mauro
    KTH Royal Institute Technology, Sweden.
    Barata Oliveira, Jose
    University of Nova Lisboa, Portugal.
    Layout validation and re-configuration in Plug&Produce systems2016In: Assembly Automation, ISSN 0144-5154, E-ISSN 1758-4078, Vol. 36, no 4, p. 412-428Article in journal (Refereed)
    Abstract [en]

    Purpose - This paper aims to provide a method and decision support tool to enhance swift reconfiguration of Plugamp;Produce (Pamp;P) systems in the presence of continuously changing production orders. Design/methodology/approach - The paper reviews different production scenarios and system design and configuration methods and more particularly specifies the need of decision support tools for Pamp;P systems that integrate configuration and planning activities. This problem is then addressed by proposing a method that helps reduce the solution space of the reconfiguration problem and allows the timely selection of the most promising reconfiguration alternative. Findings - The proposed method was found to be helpful in reducing the reconfiguration alternatives that need to be considered and in selecting the most promising one for different orders. The advantages and limitations of this method are identified, and an illustrative test case of the approach is presented, corroborating the method applicability in the absence of large queues in the system. Originality/value - This paper addresses a less explored domain within the Pamp;P systems research field, which is the system reconfiguration. It proposed a method to support system validation and reconfiguration jointly with an illustrative test case. This represents an original contribution to the Pamp;P research field, and it can have impact in improving agility and decreasing the complexity of reconfiguration activities to cope with constantly changing production orders.

  • 24.
    Neves, Pedro
    et al.
    Kungliga Tekniska Högskolan, Stockholm, Sweden.
    Ribeiro, Luis
    Linköping University, Department of Management and Engineering, Manufacturing Engineering. Linköping University, The Institute of Technology.
    Ferreira, Joao Dias
    Kungliga Tekniska Högskolan, Stockholm, Sweden.
    Maffei, Antonio
    Kungliga Tekniska Högskolan, Stockholm, Sweden.
    Onori, Mauro
    Kungliga Tekniska Högskolan, Stockholm, Sweden.
    Barata, Jose
    Uninova Research Institute, Portugal.
    Data-mining approach to support layout configuration decision-making in Evolvable Production Systems2014In: Proceedings 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC) October 5-8, 2014, San Diego, CA, USA, IEEE conference proceedings, 2014, p. 3649-3656Conference paper (Refereed)
    Abstract [en]

    Computational and communication capabilities are increasingly being used in all devices. In the production context this leads to the generation of massive amounts of data that are rarely proficuously used. More particularly the application of data-mining techniques to infer knowledge from systems’ operation to improve its design decisions remains fairly unexplored. This article presents an approach to extract system design and configuration rules from Evolvable Production Systems. Furthermore it provides the empirical results from two test-cases that support the hypothesis that a simulation-data-mining approach can help reducing the complexity of the work carried by system designers and production managers.

  • 25.
    Neves, Pedro
    et al.
    Kungliga Tekniska Högskolan, Stockholm, Sweden.
    Ribeiro, Luis
    Linköping University, Department of Management and Engineering, Manufacturing Engineering. Linköping University, The Institute of Technology.
    Ferreira, Joao Dias
    Kungliga Tekniska Högskolan, Stockholm, Sweden .
    Onori, Mauro
    Kungliga Tekniska Högskolan, Stockholm, Sweden .
    Barata, Jose
    Uninova Research Institute, Portugal.
    Exploring reconfiguration alternatives in Self-Organising Evolvable Production Systems through Simulation2014In: Proceedings 2014 12th IEEE International Conference on Industrial Informatics (INDIN), Central Campus of the Federal University of Rio Grande do SulPorto Alegre, RS, Brazil, 27 - 30 July, 2014, IEEE conference proceedings, 2014, p. 511-518Conference paper (Refereed)
    Abstract [en]

    Simulation has played an important role alongthe years to predict systems’ behaviour before theirdeployment. In the case of self-organising mechatronic systemssimulation tools can help researchers and practitionersunderstanding the full potential of the solution as well as itsunderlying limitations. Self-organising mechatronic systemshave passed a feasibility study and presented promisingresults. However they are rarely explored in industry in partdue to the lack of methods to support their design andconfiguration and the difficulty to predict the systems’behaviour before their deployment. Given the cost anddevelopment time associated with building self-organisingmechatronic systems this research problem has been left quiteunattended. In this article we present a tool that enables thecreation and simulation of Evolvable Production Systems andtheir self-organising behaviour. The generated operationalresults can posteriorly be used to analyse the suitability ofdifferent design and configuration alternatives for differentproduct types and volumes.

  • 26.
    Neves, Pedro
    et al.
    KTH Royal Institute of Technology, Stockholm, Sweden .
    Ribeiro, Luis
    Universidade Nova de Lisboa, Monte da Caparica, Portugal .
    Onori, Mauro
    KTH Royal Institute of Technology, Stockholm, Sweden.
    Barata, Jose
    Universidade Nova de Lisboa, Monte da Caparica, Portugal .
    Performance Assessment in Self-organising Mechatronic Systems: A First Step towards Understanding the Topology Influence in Complex Behaviours2014In: Technological Innovation for Collective Awareness Systems: 5th IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2014, Costa de Caparica, Portugal, April 7-9, 2014. Proceedings / [ed] Luis M. Camarinha-Matos, Nuno S. Barrento, Ricardo Mendonça, Springer Berlin/Heidelberg, 2014, p. 75-84Chapter in book (Refereed)
    Abstract [en]

    The research and development of self-organising mechatronic systems has been a hot topic in the past 10 years which conducted to very promising results in the close past. The proof of concept attained in IDEAS project that plug&produce can be achieved in these systems opens up new research horizons on the topics of system design, configuration and performance evaluation. These topics need to consider that the systems are no longer static prototypes but instead several distributed components that can be added and removed in runtime. The distribution of modules in the system and their inherent connections will then potentially affect the system’s global behaviour. Hence it is vital to understand the impact on performance as the system endures changes that affect its topology. This article presents an exploratory test case that shows that as a system evolves (and the nature of the network of its components changes) the performance of the system is necessarily affected in a specific direction. This performance landscape is necessarily complex and very likely nonlinear. Simulation plays therefore an important role in the study of these systems as a mean to generate data that can be later on used to generate macro level knowledge that may act as a guideline to improve both design and configuration.

  • 27.
    Ribeiro, Luis
    Linköping University, Department of Management and Engineering, Manufacturing Engineering. Linköping University, Faculty of Science & Engineering.
    Cyber-physical production systems' design challenges2017In: Industrial Electronics (ISIE), 2017 IEEE 26th International Symposium on, IEEE, 2017Conference paper (Refereed)
    Abstract [en]

    Recent advances in information technologies and artificial intelligence are enabling the creation of intelligent and highly reconfigurable factories which will lead to unprecedented production development. The notion of Cyber-Physical Production System (CPPS), denoting a system where mechatronic components are coupled to a smart logical entity that enables these factory units to interact in an adaptive way, has been presented as one of the cornerstones of what is perceived to be the 4th Industrial Revolution. However, more than two decades of research have shown that such a vision is not as new as recent programmes suggest and that certain developments are only now reaching a maturity stage that renders them usable with limitations. These are due to a set of persistent design challenges that undermine their acceptance along with the fact that the preconditions for operating such systems globally are far from being satisfied. This paper provides an integrated, clear and critical view on pending design issues that still need to be satisfied. In this context, the paper concentrates on the conceptual and technical design barriers that relate to the development of cyber-physical production components and their operation in the context of a CPPS.

  • 28.
    Ribeiro, Luis
    Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Portugal.
    Diagnosis in evolvable production systems2012Doctoral thesis, monograph (Other academic)
    Abstract [en]

    This thesis tackles the problematic of performing diagnosis in complex industrial installations composed of a high number of interacting components that participate in the production process.

    The proposed diagnostic approach is itself generic and applicable to a wider range of networked systems however the Evolvable Production System (EPS) and Evolvable Assembly System (EAS) domains were considered as the basis upon which the proposed approach develops.

    The Evolvable Production System paradigm gathers multidisciplinary contributions and emerged recently. Its control mechanisms are multiagent based systems and denote a high degree of decoupling between the system's modules. This is a fundamental characteristic of these systems that ensures robustness and fault tolerance. However, fault tolerance alone is not sufficient to ensure the correct functioning of such systems. In modern production paradigms monitoring and diagnosis have a fundamental regulatory role. To avoid corrupting the highly distributed control logic which is a pillar of seamless reconfiguration and scalability, approaches as the one presented in this thesis are  undamental.

    In this context the proposed approach assumes that the diagnostic data produced in the traditional and existing diagnostic methods implemented at module level has to be harmonized and forwarded to a higher abstraction layer that considers a network perspective.

    This allows a holistic view of the diagnostic problem and in particular of the fault-propagation sub-problem.

    To avoid corrupting the distributed control and reconfiguration potential of modern production paradigms the proposed approach explores self-organization and emergence mechanisms at component level to promote the emergence of the diagnosis (from a fault propagation point of view) using only local information and interactions.

    It becomes therefore possible to distribute the diagnostic system while eliminating a set of problems associated with more conservative and centralized approaches namely: scalability, dependency on single points of failure and increasing computational performance requirements and algorithmic complexity in a direct relation with the system size.

    In this context, the present work exposes the before-mentioned problematic in EPS like systems, statistically showing and validating the relevance of considering fault propagation events and proposing a concrete solution for the detailed challenges.

  • 29.
    Ribeiro, Luis
    Linköping University, Department of Management and Engineering, Manufacturing Engineering. Linköping University, Faculty of Science & Engineering.
    The design, deployment, and assessment of industrial agent systems2015In: Industrial Agents: Emerging Applications of Software Agents in Industry / [ed] Paulo Leitao and Stamatis Karnouskos, Amsterdam, Netherlands: Elsevier, 2015, 1st ed., p. 45-63Chapter in book (Refereed)
    Abstract [en]

    Agent based systems have been explored, if not practically, at least conceptually, in a wide range of domains. The notion of agent has taken, also, many shapes and meanings according to the application area. These have ranged from pure computational applications, such as UNIX daemons, Internet crawlers, optimization algorithms, etc; to embodied agents as in mobile robotics. The notion of cyber-physical system has been very recently coined to denote the next generation of embedded systems. Unlike an embedded system, a cyber-physical system is designed from scratch to promote the symbiosis and fusion between a physical element, its controller, and its abstract or logical representation/existence. To an enormous extent the concept echoes the idea of embodiment (Pfeifer, Lungarella & Iida 2007), whereby the body shapes the cognitive abilities of its control gear, and self-organization (Holland & Melhuish 1999), in the sense that a resilient whole results from the collective interactions of many parts. Some rather similar principles have been the basis for Holonic Manufacturing Systems (HMS) (Bussmann & Mcfarlane 1999), Bionic Manufacturing Systems (BMS) (Ueda 1992), Evolvable Assembly Systems (EAS) (Onori 2002) and an overwhelming number of industrial agent based architectures that have followed them (Van Brussel et al. 1998; Leitao, Colombo & Restivo 2005; Barata 2003; Lastra 2004; Shen et al. 2006; Marik & Lazansky 2007; Vrba et al. 2011; Leitão 2009; Monostori, Váncza & Kumara 2006).

    It is therefore safe to assert that industrial agent systems are a preceding, probably more restricted, case of cyber-physical systems.

    Although each application area has its specific challenges arguably, the design, deployment and assessment of industrial agent systems are particularly complex. Given the multidisciplinary nature of today's industrial systems, their cyber-physical realization entails challenges that range from pure computer science and embedded controller design to production optimization and sustainability.

    The main challenges comprising the design, deployment and assessment of industrial agent-based systems are therefore examined.

    Multiagent Systems (MAS) have been widely known as the base for inherent robust and available systems and there are many characteristics (Wooldridge & Jennings 1994; Wooldridge & Jennings 1995) such as autonomy, social-ability, proactive response, reactivity, self-organization, etc; which have been identified as core ingredients for the MAS reliability.

    However, to call "agent" to a software abstraction and create a system based on these abstractions is not a guarantee that the system will exhibit the expected characteristics. Unfortunately this misconception is quite common.

    There have been significant international and industrial efforts in addressing the different design, deployment and assessment challenges. The reader is naturally referred to the contents of this book to learn about the latest results and technical details. Previous international projects are not limited to but include: SIRENA - early development of a devices profiles for web services (DPWS) stack (Jammes & Smit 2005; Bohn, Bobek & Golatowski 2006) and subsequent project SODA - focusing on the development of a service based ecosystem using DPWS, Inlife - focusing in service oriented diagnosis of distributed intelligent systems (Barata, Ribeiro & Colombo 2007), SOCRADES - investigating the creation of new methodologies, technologies and tools for the modelling, design, implementation and operation of networked hardware/software systems embedded in smart physical objects (De Souza et al. 2008), AESOP - tackling web service-oriented process monitoring and control (Karnouskos et al. 2010), GRACE - exploring process and quality control integration using a MAS framework (Stroppa et al. 2012) and IDEAS - focusing in instant deployment of agentified components (Ribeiro et al. 2011a).      

    The subsequent details are therefore organized to first highlight the commonest structural arrangements considered in current agent architectures and more specifically on bringing some context on their potential applications and limitations. Secondly, since emerging architectures are increasingly inspired by concepts and methods from the complexity sciences, the gaps between them and the concrete instantiation of industrial MAS are discussed. The presentation of the design challenges and opportunities follows as well as the conventional deployment approaches. Finally, the impact of MAS design is discussed from a system validation perspective.

  • 30.
    Ribeiro, Luis
    et al.
    Uninova - CTS, Departamento de Engenharia Electrote ́ cnica, Faculdade de Ci ˆ encias e Tecnologia, FCT, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.
    Barata, Jose
    Uninova - CTS, Departamento de Engenharia Electrote ́ cnica, Faculdade de Ci ˆ encias e Tecnologia, FCT, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.
    IMS 10 €”Validation of a co-evolving diagnostic algorithm for evolvable production systems2012In: Engineering applications of artificial intelligence, ISSN 0952-1976, E-ISSN 1873-6769, Vol. 25, no 6, p. 1142-1160Article in journal (Refereed)
    Abstract [en]

    With the systematic implantation and acceptance of IT in the shop-floor a wide range of production paradigms, relying in open interoperable architectures, have been developed. Exploring these technological novelties, they promise to revolutionize the way current plant floors operate and react to emerging opportunities and disturbances. There is a high interest of module providers in the adoption of these open mechatronic architectures as they may provide a new business model where the automation solution can be easily tailored for each customer in due time and ships with a significant part of the control solution (high added value). Final customers on their side can contract operating hours rather than buying modules. Moreover, the automation solution can be swiftly modified to meet changing requirements.

    The necessary increase in the number of distributed and autonomous components that interact in the execution of processes implies that new diagnostic approaches should be developed to tackle the network layer of these highly dynamic systems. In fact fault propagation events can be harder to understand and can affect the system in unpredictable and pervasive ways.

    Following this rationale the paper presents a potential diagnostic solution that targets multiagent-based mechatronic systems where their components are highly decoupled from a control point of view. The diagnostic architecture presented tackles the problem of fault propagation while preserving the decoupled nature of the Mechatronic Agent concept. In this context the diagnostic system explores self-organization to enact an emergent response that denotes macro-level coherence. The system's response is the result of an individual probabilistic diagnostic inference based on Hidden Markov Models that capture the propagating nature of a failure.

    The validation results of the proposed diagnostic approach are detailed for the system's response in simulation (highlighting the main variables that affect the performance of the system) and compared to the system applied to a pilot assembly cell. The simulation model and the performance metrics considered are detailed and discussed along with the main implementation details.

  • 31.
    Ribeiro, Luis
    et al.
    CTS, Uninova, Dep. de Eng. Electrot ́ ecnica , Faculdade de Ci ˆ encias e Tecnologia, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.
    Barata, Jose
    CTS, Uninova, Dep. de Eng. Electrot ́ ecnica , Faculdade de Ci ˆ encias e Tecnologia, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.
    Prospecting tools for mechatronic multiagent-based systems2011In: 9th IEEE International Conference on Industrial Informatics (INDIN), 2011, IEEE , 2011, p. 369-374Conference paper (Refereed)
    Abstract [en]

    Notwithstanding the advances in information technologies (IT) and the advances in Artificial Intelligence (AI) their concrete application in industry remains elusive. Traditional control technology is still perceived as an advantage and more intelligent systems (IT/AI supported) are envisioned as a second order layer of middle-ware mostly useful for enterprise resource planning tools. Performance and know-how protection are among the topmost arguments that justify the little adherence to a wide range of technical and architectural intelligent solutions significantly proven by consistent research work. To harden the adoption problematic there is often a gap between the academic language, research purposes and requirements and the industry counterparts. In this paper a set of tools are prospected as a mechanism to bridge the gap between pressing industrial requirements and the academic response. In particular the work reflects the authors experience in developing Multiagent Mechatronic Systems in the Evolvable Production Systems (EPS) domain and under the scope of several international research projects namely: EUPASS (FP6), InLife(FP6) and recently IDEAS(FP7).

  • 32.
    Ribeiro, Luis
    et al.
    Electrical Engineering Department, Faculty of Sciences and Technology, New University of Lisbon, 2829-516 Monte de Caparica, Portugal.
    Barata, Jose
    Electrical Engineering Department, Faculty of Sciences and Technology, New University of Lisbon, 2829-516 Monte de Caparica, Portugal.
    Re-thinking diagnosis for future automation systems: An analysis of current diagnostic practices and their applicability in emerging IT based production paradigms2011In: Computers in industry (Print), ISSN 0166-3615, E-ISSN 1872-6194, Vol. 62, no 7, p. 639-659Article in journal (Refereed)
    Abstract [en]

    With the advent of the Internet and the progressive development and consolidation of a wide range of web standards and technologies as well as the advances in distributed artificial intelligence (DAI), namely the multi agent system concept, new opportunities have emerged for conceiving, modelling and enhancing shop floor's performance and response.

    Modern IT-supported production paradigms denote a common concept where the shop floor is a lively entity composed by interacting intelligent modules whose individual and collective function adapts and evolves ensuring the fitness and adequacy of the organization, owning the system, in tackling profitable but volatile business opportunities.

    The self-organizing and peer to peer nature of these systems renders a collective behaviour and dynamics that are fundamentally new. Conventional diagnostic methods and tools have not been designed targeting the envisioned systems therefore lack the required support. In this paper the emerging IT-based production paradigms are surveyed as well as the existing diagnostic methods whose adequacy is analysed. The resulting requirements and characteristics are exposed to stress the need for rethinking current diagnostic practices in future automation systems.

  • 33.
    Ribeiro, Luis
    et al.
    Electrical Engineering Department New University of Lisbon Monte de Caparica, Portugal.
    Barata, Jose
    Electrical Engineering Department New University of Lisbon Monte de Caparica, Portugal.
    Colombo, Armando
    Schneider Electric Seligenstadt, Germany.
    MAS and SOA: A Case Study Exploring Principles and Technologies to Support Self-Properties in Assembly Systems2008In: Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems, Workshops, 20-24 October 2008, Venice, Veneto, Italy, IEEE , 2008, p. 192-197Conference paper (Refereed)
    Abstract [en]

    Holonic assembly systems require intelligent and distributed IT support. Traditionally this has been achieved through the use of multiagent systems (MAS). Recently a significant research effort has been invested in applying service oriented architectures (SOA) in automation domains. MAS and SOA are often perceived has competing concepts and technologies. In this application oriented paper an informal comparative analysis between MAS and SOA, derived from the authors' experience, is presented with the goal of unveiling their strengths and weaknesses in supporting self-properties. A case study demonstrating self monitoring/diagnosis/healing in the assembly domain illustrates a first approach to merging the best of both worlds in a lightweight infrastructure that can be ported to embedded devices, following the trend that advocates the use of pervasive computing materialized in tiny devices for automation.

  • 34.
    Ribeiro, Luis
    et al.
    Electrical Engineering Department, Faculty of Sciences and Technology, New University of Lisbon, 2829-516 Monte de Caparica, Portugal.
    Barata, Jose
    Electrical Engineering Department, Faculty of Sciences and Technology, New University of Lisbon, 2829-516 Monte de Caparica, Portugal.
    Colombo, Armando
    Schneider Electric, Seligenstadt, Germany.
    Supporting agile supply chains using a service-oriented shop floor2009In: Engineering applications of artificial intelligence, ISSN 0952-1976, E-ISSN 1873-6769, Vol. 22, no 6, p. 950-960Article in journal (Refereed)
    Abstract [en]

    The globalized nature of current business environments led to the emergence of new networked enterprise organizational paradigms (supply chains, extended enterprises, virtual enterprises, collaborative networks, etc.) to meet changing requirements and tackle profitable but volatile opportunities overall agility is required.

    Eventually the shop floor will have to react and accommodate (re)adjustments in the supply chain making it an important piece in the competitiveness puzzle. So far, the research focus has been in high level aspects of supply chain management and the integration of shop floor activities in the process has been left relatively unattended.

    However, shop floor data is increasingly required in business tools that support decision making. In this context, failing to support agility at shop floor level can compromise the agility of the supply chain.

    Recent developments in networked information technologies and embedded devices allow enabling intelligence in shop floor rendering it an active and live entity that further enhances the dynamics of the supply chain.

    The goal of the present work, supported by an implemented test case in the assembly domain, is to demonstrate how one is able to seamless integrate the shop floor with external tools and achieve a highly reconfigurable environment that adapts to changing production requirements and disturbances using service-oriented technology.

  • 35.
    Ribeiro, Luis
    et al.
    Uninova - CTS, Departamento de Engenharia Electrotécnica, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.
    Barata, Jose
    Uninova - CTS, Departamento de Engenharia Electrotécnica, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.
    Ferreira, Joao
    Uninova - CTS, Departamento de Engenharia Electrotécnica, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.
    A co-evolving diagnostic algorithm for evolvable production systems: A case of learning2010In: 10th IFAC Workshop on Intelligent Manufacturing Systems (2010) / [ed] Paulo Leitao, Carlos Eduardo Pereira, José Barata, International Federation of Automatic Control , 2010, Vol. 10, p. 126-131Conference paper (Refereed)
    Abstract [en]

    With the systematic implantation and acceptance of IT in the shop-floor a wide range of Production Paradigms have emerged that exploring these technological novelties promise to revolutionize the way current plant floor operate and react to emerging opportunities and disturbances. With the increase of distributed and autonomous components that interact in the execution of processes current diagnostic approaches will soon be insufficient. While current system dynamics are complex and to a certain extent unpredictable the adoption of the next generation of approaches and technologies comes at the cost of an yet increased complexity. The peer to peer nature of the interactions and the evolving nature of the future systems' structure require a co-evolving regulatory mechanism that to a great deal has to be implemented under the scope of monitoring and diagnosis. In this article a diagnostic algorithm that has the ability to co-evolve with the remaining system, through learning and adaptation to the operational conditions, is presented and discussed.

  • 36.
    Ribeiro, Luis
    et al.
    UNINOVA Institute, Portugal.
    Barata, Jose
    UNINOVA Institute, Portugal.
    Ferreira, Joao
    UNINOVA Institute, Portugal.
    An agent-based interaction-oriented shop floor to support emergent diagnosis2010In: Proceedings INDIN 20108th IEEE International Conferenceon Industrial Informatics, Osaka University Nakanoshima Center, Osaka, Japan, 13 - 16 July, 2010, IEEE , 2010, p. 189-194Conference paper (Refereed)
    Abstract [en]

    The emerging production paradigms, potentiated by the advances in Information Technologies (IT), especially in web related standards and technologies as well as the progressive acceptance of the multiagent systems (MAS) concept and related technologies, envision collections of modules whose individual and collective function adapts and evolves ensuring the fitness and adequacy of the shop floor in tackling profitable but volatile business opportunities. Despite the richness of the interactions and the effort set in modeling them, their potential to favor fault propagation and interference, in these complex environments, has been ignored from a diagnostic point of view. To avoid corrupting the distributed nature of the system any diagnostic method/tool should necessarily adapt and evolve. This implies that the diagnostic model should emerge in system rather than being imposed. In the present paper the authors contend that there is added value in further considering interactions and modeling the network effect of interactions for the purpose of diagnosing the system. In this context, an agent-based architecture is proposed to support an emergent diagnostic model.

  • 37.
    Ribeiro, Luis
    et al.
    CTS, Uninova, Dep. de Eng. Electrot ́ ecnica , Faculdade de Ci ˆ encias e Tecnologia, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.
    Barata, Jose
    CTS, Uninova, Dep. de Eng. Electrot ́ ecnica , Faculdade de Ci ˆ encias e Tecnologia, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.
    Onori, Mauro
    KTH-Production Eng.Dept., EPS Group Stockholm, Sweden.
    Hanisch, Christoph
    Festo AG & Co. KG, Esslingen, Germany.
    Hoos, Johannes
    Festo AG & Co. KG, Esslingen, Germany.
    Rosa, Rogerio
    CTS, Uninova, Dep. de Eng. Electrot ́ ecnica , Faculdade de Ci ˆ encias e Tecnologia, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.
    Self-organization in automation-the IDEAS pre-demonstrator2011In: Proceedings IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society Crown Conference Centre, Melbourne, Australia, 07-10 November, 2011, IEEE , 2011, p. 2752-2757Conference paper (Refereed)
    Abstract [en]

    While the application of IT in automation gains traction, mostly motivated by the introduction of Service Orientated Approaches and Multiagent modelling, it is sometimes unclear to practitioners what is the full potential and boundaries of such concepts and technologies. The FP7 IDEAS project is focused in the design and development of Multiagent systems in a Mechatronic context which, to a great extent, implies that Mechatronic Agents must consider and respect mechanical/physical constraints while delivering the widely acknowledged (yet elusively demonstrated) characteristics that may render Agent-based control unique in respect to tolerance to disturbances, plug-ability and scalability. In this context, the present paper details the preliminary proof of concept prototype that validates the IDEAS Mechatronic Agent Architecture. The focus of this early demonstrator is to enlighten on how self-organization, inspired by the Evolvable Assembly System (EAS) Paradigm, can be exploited towards promoting the above mentioned characteristics. The main lessons learned, open points and future developing directions are distilled as the prototype is presented.

  • 38.
    Ribeiro, Luis
    et al.
    Linköping University, Department of Management and Engineering, Manufacturing Engineering. Linköping University, Faculty of Science & Engineering.
    Barata, Jose
    Uninova - CTS, Departamento de Engenharia Electrotécnica, Faculdade de Ciências e Tecnologia, Portugal.
    Onori, Mauro
    KTH, Royal Institute of Technology, Stockholm, Sweden.
    Hoos, Johannes
    Festo AG & Co. KG, Esslingen, Germany.
    Industrial Agents for the Fast Deployment of Evolvable Assembly Systems2015In: Industrial Agents: Emerging Applications of Software Agents in Industry / [ed] Paulo Leitao and Stamatis Karnouskos, Amsterdam, Netherlands: Elsevier, 2015, 1st ed., p. 301-321Chapter in book (Refereed)
    Abstract [en]

    The current manufacturing scenario is characterized by high market unpredictability. Agility is therefore a central challenge for modern companies that need to understand and be proactive towards their product offer in respect to “what is offered, when it is offered, where, how and by whom” (Brown & Bessant 2003).

    The “what” and the “when” are particularly relevant to the research in emerging paradigms as they account for variety, customization and volume; and timing, speed and seasonality (Brown & Bessant 2003).

    In this scenario, several design approaches and models have been proposed in the last decade to enable re-configurability and subsequently enhance the companies’ ability to adjust their offer in nature and time.

    From a paradigmatic point of view research has concentrated on the organizational structure of the shop-floor and the associated controls aspects. Concepts like Reconfigurable Manufacturing Systems (RMS) (Koren & Shpitalni 2010) and Fractal Factories (FF) (Montreuil 1999) support the physical construction of production systems by regulating their layout and making a few assumptions on their logical organization. On the other hand, concepts like Bionic Manufacturing Systems (BMS)(Ueda 1992), Holonic Manufacturing Systems (HMS)(Van Brussel et al. 1998), Evolvable Assembly Systems (Ribeiro et al. 2010) essentially provide the theoretical guidelines for the logical/computational organization of the system (see (Tharumarajah 1996) for a comparison between BMS, HMS and FF and (Setchi & Lagos 2004) for the rationale supporting the shift from Dedicated Lines to Flexible Manufacturing System and finally RMS).

    While these paradigms provide the conceptual framework and the main design guidelines their actual interpretation and implementation has led to a wider set of architectures (Monostori, Váncza & Kumara 2006; Leitão 2009; Parunak 2000; Pěchouček & Mařík 2008).

    These architectures align the high-level principles with the technological offer and limitations while seeking to address the re-configurability requirements of (Mehrabi, Ulsoy & Koren 2000; Rösiö & Säfsten 2013):

    • module mobility – modules are easy and quick to move and install;
    • “diagnosability” – it is quick to identify the sources of quality and reliability problems;
    • “integrability” – modules are easy to integrate into the rest of the system.
    • “convertibility” – it is easy and quick to switch between existing products and it is easy to adapt the system to future products;
    • scalability – it is easy to enlarge and downsize the production system;
    • “automatibility” – a dynamic level of automation is enabled;
    • modularity – all system elements are designed to be modular;
    • customization – the capability and flexibility of the production system is designed according to the products to be produced in the system.

    Instant deployment, as addressed in the present chapter directly addresses mobility, “integrability”, “convertibility”, scalability and customization. Mechatronic modularity is a prerequisite and is enforced by the proposed architecture and the considered modular design. “Diagnosability” was not specifically tackled.

    In this context, the chapter analyses the agent-based architecture related with the Instantly Deployable Evolvable Assembly System (IDEAS) project that is inspired by the Evolvable Assembly System (EAS) paradigm (Ribeiro et al. 2010) as a mechanism to enable fast deployment of mechatronic modules. EAS advocates the use of process-oriented modules and envisions the production system as a collection of processes and the associated interacting agents.

    The architecture and the related test cases are used to draw the main lessons learned in respect to technological and conceptual implications.

    In this context, the remainder of this text is organized as follows: section 1.1 discusses the main deployment challenges, section 1.2 details the reference architecture and associated concepts, section 1.3 presents the principal implementation decisions, section 1.4 features the main lessons learned, sections 1.5 discusses the benefits of the proposed approach and finally section 1.6 reflects on the main conclusions.

  • 39.
    Ribeiro, Luis
    et al.
    Dept. De Eng Electrotec., Univ. Nova de Lisboa, Caparica, Portugal .
    Barata, Jose
    Dept. De Eng Electrotec., Univ. Nova de Lisboa, Caparica, Portugal .
    Whittingslow, Dean
    Teks Sarl R&D, jTEKS SARL, Montgenevre, France.
    Krain, Roland
    Teks Sarl R&D, jTEKS SARL, Montgenevre, France.
    Multiagent Mechatronic Systems with Simulation on the Loop2013In: Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on, IEEE , 2013, p. 3842-3847Conference paper (Refereed)
    Abstract [en]

    This paper details the FP7 IDEAS project multiagent mechatronic architecture. In particular the technical details that support plug and produce of individual modules or stations are discussed. To highlight the generic approach of the core agent-based mechatronic platform an example where a virtual station is introduced and seamlessly interacts with the physical systems is highlighted. This example has, therefore, the dual purpose of showing the generic aspects of the reference architecture, and its implementation, and describing the technicalities that support the introduction of virtual components in the "loop" of the physical systems which goes far beyond mere simulation of assembly systems. This flexibility opens wide the door for improved system analysis where just specific components have to be simulated whereas the remaining dynamic is the one of the real system.

  • 40.
    Ribeiro, Luis
    et al.
    CTS, UNINOVA, Dep. De Eng Electrotécnica, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2819-516, Caparica, Portugal.
    Barata, José
    CTS, UNINOVA, Dep. De Eng Electrotécnica, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2819-516, Caparica, Portugal.
    Deployment of Multiagent Mechatronic Systems2013In: Industrial Applications of Holonic and Multi-Agent Systems: 6th International Conference, HoloMAS 2013, Prague, Czech Republic, August 26-28, 2013. Proceedings / [ed] Vladimír Mařík, Jose L. Martinez Lastra and Petr Skobelev, Springer Berlin/Heidelberg, 2013, p. 71-82Chapter in book (Refereed)
    Abstract [en]

    Multiagent system’s applications in industry have been widely investigated to support emerging production paradigms and models. One of the key concepts of these approaches is the utilization of a highly dynamic environment whereby intelligent agents are able to take autonomous decisions and self-organize to circumvent production disturbances. Deployment is a fundamental activity in these systems and entails significant technical and conceptual challenges. There are only a few documented deployment platforms for agents in a mechatronic context. This paper presents the deployment philosophy developed and tested under the framework of the FP7 IDEAS project.

  • 41.
    Ribeiro, Luis
    et al.
    Faculty of Science and Technology, New University of Lisbon.
    Barata, José
    Faculty of Science and Technology, New University of Lisbon.
    New Shop Floor Control Approaches for Virtual Enterprises2006In: Enterprise and Work Innovation Studies, ISSN 1646-1223, Vol. 2, no 2, p. 39-52Article in journal (Refereed)
    Abstract [en]

    The virtual enterprise paradigm seems a fit response to face market instability and the volatile nature of business opportunities increasing enterprise’s interest in similar forms of networked organisations. The dynamic environment of a virtual enterprise requires that partners in the consortium own reconfigurable shop floors. This paper presents new approaches to shop floor control that meet the requirements of the new industrial paradigms and argues on work re-organization at shop floor level.

  • 42.
    Ribeiro, Luis
    et al.
    CTS, UNINOVA, Dep. De Eng Electrotécnica, Faculdad e de Ciências e Tecnologia, Universidade Nova de Lisboa, 2819-516 Caparica Portugal .
    Barata, José
    CTS, UNINOVA, Dep. De Eng Electrotécnica, Faculdad e de Ciências e Tecnologia, Universidade Nova de Lisboa, 2819-516 Caparica Portugal .
    Self-organizing multiagent mechatronic systems in perspective2013In: Proceedings 2013 11th IEEE International Conference on Industrial Informatics (INDIN)Ruhr-Universität Bochum, Bochum, Germany, 29 - 31 July, 2013, IEEE , 2013, p. 392-397Conference paper (Refereed)
    Abstract [en]

    This paper discusses the main problematic, misunderstandings and gaps associated with the development of self-organizing multiagent mechatronic systems. The paper reflects the authors' experience in designing and implementing Multiagent Mechatronic Systems. It also partly addresses the work developed under the FP7 IDEAS project (rated an EU FP7 success story) as a clarifying, but not unique, example. In this respect the paper presents a critical overview on how the existing technology is close to support the automation concepts envisioned by emerging production paradigms that rely on Emergence and Self-Organization as main constructs of the system and why technology alone should be understand as only a mean and not a end.

  • 43.
    Ribeiro, Luis
    et al.
    CTS, Uninova,* Dep.ª de Eng.ª Electrotécnica*, Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.
    Barata, José
    CTS, Uninova,* Dep.ª de Eng.ª Electrotécnica*, Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.
    Alves, Bruno
    Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.
    Exploring the network dimension of diagnosis in Evolvable Production Systems2010In: Emerging Technologies and Factory Automation (ETFA), 2010 IEEE Conference on Date 13-16 Sept. 2010, IEEE , 2010, p. 1-6Conference paper (Refereed)
    Abstract [en]

    Modern Production Paradigms, supported by state-of-art developments in IT, present major opportunities for the effective implementation of sustainable shop floors. With an increased focus in seamless system reconfiguration most proposals advocate the use of modular and distributed architectures that are dynamic compositions (adaptable and evolvable structures) of cooperating self-contained entities that interact using complex communication patterns with enhanced semantics. These design principles introduce significant diagnostic challenges. The distributed and contained nature of the information renders collective fault events harder to track. Furthermore, current approaches that are adjusted to a more conservative logic-based control, do not provide an adequate response to this problem. This paper proposes an approach to capture the network dynamics of faults in the emergent domain of Evolvable Production Systems (EPS) which implements and extends the before-mentioned characteristics.

  • 44.
    Ribeiro, Luis
    et al.
    Faculdade de Ciências e Tecnologia, Campus da FCT-UNL, Universidade Nova de Lisboa, Monte de Caparica, 2829 – 516, Caparica, Portugal.
    Barata, José
    Faculdade de Ciências e Tecnologia, Campus da FCT-UNL, Universidade Nova de Lisboa, Monte de Caparica, 2829 – 516, Caparica, Portugal.
    Alves, Bruno
    Faculdade de Ciências e Tecnologia, Campus da FCT-UNL, Universidade Nova de Lisboa, Monte de Caparica, 2829 – 516, Caparica, Portugal.
    Ferreira, João
    Faculdade de Ciências e Tecnologia, Campus da FCT-UNL, Universidade Nova de Lisboa, Monte de Caparica, 2829 – 516, Caparica, Portugal.
    Diagnosis in Networks of Mechatronic Agents: Validation of a Fault Propagation Model and Performance Assessment2011In: Technological Innovation for Sustainability: Second IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2011, Costa de Caparica, Portugal, February 21-23, 2011. Proceedings / [ed] Luis M. Camarinha-Matos, Springer Berlin/Heidelberg, 2011, p. 205-214Chapter in book (Refereed)
    Abstract [en]

    Recent shop floor paradigms and approaches increasingly advocate the use of distributed systems and architectures. Plug-ability, Fault Tolerance, Robustness and Preparedness are characteristics believed to emerge by instantiation of these fundamentally new design approaches. However these features, when effectively present, often come at the cost of a greater system complexity. Enclosed in this complexity increase is a plethora on unforeseen interactions between the entities (modules) that compose the system. The purpose of this paper is, in this context, twofold: to validate a fault propagation model in random networks (that simulate the connectivity of modular shop floor systems) and assess the performance of two diagnostic approaches to expose the impact of relying in local or global information.

  • 45.
    Ribeiro, Luis
    et al.
    Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.
    Barata, José
    Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.
    Alves, Bruno
    Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.
    Ferreira, João
    Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.
    Global Vs Local: A Comparison of Two Approaches to Perform Diagnosis in Networks of Mechatronic Agents2010In: Self-Adaptive and Self-Organizing Systems (SASO), 2010 4th IEEE International Conference on, IEEE , 2010, p. 84-93Conference paper (Refereed)
    Abstract [en]

    Natural systems often exhibit, at a macro level, a tendency to order that emerges from simple and local interactions between the system components. This idea that the whole can denote a consistent behavior that is more than the sum of individual components has inspired the design and development of many artificial systems. Recently, with the pervasiveness of IT in the automation domain the application of such principles became interesting as a mean to developed seamlessly plug gable, robust and fault-tolerant mechatronic systems. These concepts, however, have been mainly applied from a control perspective. This paper argues the regulatory significance of diagnosis in such complex systems and discusses two strategies (fully centralized with global information and fully decentralized with local information) to perform a diagnostic analysis that explores the network dimension of future mechatronic systems.

  • 46.
    Ribeiro, Luis
    et al.
    Faculty of Sciences and Technology, Universidade Nova de Lisboa, Portugal.
    Barata, José
    Faculty of Sciences and Technology, Universidade Nova de Lisboa, Portugal.
    Barreira, Pedro
    Faculty of Sciences and Technology, Universidade Nova de Lisboa, Portugal.
    Is ambient intelligence a truly human-centric paradigm in industry?: Current research and application scenario2009In: Enterprise and Work Innovation Studies, ISSN 1646-1223, Vol. 5, no 5, p. 25-35Article in journal (Refereed)
    Abstract [en]

    The use of pervasive networked devices is nowadays a reality in the service sector. It impacts almost all aspects of our daily lives, although most times we are not aware of its influence. This is a fundamental characteristic of the concept of Ambient Intelligence (AmI). Ambient Intelligence aims to change the form of human-computer interaction, focusing on the user needs so they can interact in a more seamless way, with emphasis on greater user-friendliness. The idea of recognizing people and their context situation is not new and has been successfully applied with limitations, for instance, in the health and military sectors. However its appearance in the manufacturing industry has been elusive. Could the concept of AmI turn the current shop floor into a truly human centric environment enabling comprehensive reaction to human presence and action? In this article an AmI scenario is presented and detailed with applications in human’s integrity and safety.

  • 47.
    Ribeiro, Luis
    et al.
    UNINOVA Institute Monte de Caparica, Portugal.
    Barata, José
    Electrical Eng. Department New University of Lisbon Monte de Caparica, Portugal.
    Colombo, Armando
    Schneider Electric, Seligenstadt, Germany.
    Jammes, François
    Schneider Electric, Grenoble, France.
    A generic communication interface for DPWS-based web services2008In: Industrial Informatics, 2008. INDIN 2008. 6th IEEE International Conference on, IEEE , 2008, p. 762-767Conference paper (Refereed)
    Abstract [en]

    To withstand future socio-economic challenges new approaches to industrial control have emerged. These methodologies require however the underlying systems to be fully integrated from an information technology point of view. Not all existing distributed technologies have proven successful in managing interoperability constraints. The research in service oriented architectures has shown promising results in managing information exchange between heterogeneous systems and in hiding their complexity by providing platform agnostic service descriptions. However in highly dynamic systems where changes are to happen in runtime implementation issues arise. Typically the heterogeneity of most systems causes reprogramming to happen periodically to accommodate changes and the dimension of the code often boosts. This paper addresses this problematic presenting a generic communication interface for web services that contributes to ease these problems.

  • 48.
    Ribeiro, Luis
    et al.
    UNINOVA Institute, Portugal.
    Barata, José
    Universidade Nova de Lisboa, Portugal.
    Cândido, Gonçalo
    UNINOVA Institute, Portugal.
    Onori, Mauro
    Royal Institute of Technology, Stockholm, Sweden.
    Evolvable production systems: An integrated view on recent developments2010In: Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology / [ed] George Q. Huang, K. L. Mak and Paul G. Maropoulos, Springer Berlin/Heidelberg, 2010, p. 841-854Chapter in book (Refereed)
    Abstract [en]

    Evolvable Production Systems (EPS) is a fundamentally new paradigm to design, maintain and evolve industrial systems. It is a holistic approach supporting product/shop floor co-evolution and ensuring a tailored and balanced solution for sustainable enterprise development. Its core is engineered by distributed intelligence materialized in proactive and interacting shop floor assets. These intelligent building blocks include a wise interface design that ensures plug-ability and promotes system integration and bio-inspired interaction mechanisms (control and monitoring/diagnosis) to emerge a consistent self-organizing response to production disturbances. In this article a short survey on recent technical and theoretical developments supporting the EPS paradigm is held.

  • 49.
    Ribeiro, Luis
    et al.
    New University of Lisbon Monte de Caparica, Portugal.
    Barata, José
    New University of Lisbon Monte de Caparica, Portugal.
    Ferreira, Bruno
    New University of Lisbon Monte de Caparica, Portugal.
    Pires, Jorge
    New University of Lisbon Monte de Caparica, Portugal.
    An architecture for a fault tolerant highly reconfigurable shop floor2008In: Proceedings INDIN 2008. 6th IEEE International Conference on Industrial Informatics, IEEE , 2008, p. 1194-1199Conference paper (Refereed)
    Abstract [en]

    Nowadays Internet enabled technologies have open wide the door for penetrating new markets and profiting from specific business scenarios. In the manufacturing domain these opportunities are of volatile nature and rather than requiring large scale production of a single item demand mid/low volume production with variants of a certain good. The impact on the shop floor activities is considerable and calls for highly reconfigurable set ups. In this paper the authors propose an agent based architecture, which follows the reconfigurable manufacturing systems (RMS) framework, validated by an implementation, in the discrete manufacturing domain, that supports seamless runtime reconfiguration while being tolerant to faults in running processes.

  • 50.
    Ribeiro, Luis
    et al.
    UNINOVA Institute, Portual.
    Barata, José
    UNINOVA Institute, Portual.
    Ferreira, João
    UNINOVA Institute, Portual.
    Emergent Diagnosis for Evolvable Production Systems2010In: CDROM Proceedings ISIE 2010 IEEE International Symposium on Industrial Electronics, IEEE , 2010, p. 2647-2652Conference paper (Refereed)
    Abstract [en]

    A wide range of paradigms have been proposed that, taking advantage of the emerging IT technologies, increasingly support autonomous and evolvable shop-floors which are able to react to disturbances and opportunities. Among the emerging paradigmatic proposals the concept of Evolvable Production System (EPS) is emerging as it proposes a holistic approach with clear prospects for enhancing business and environmental competitiveness. EPS systems are knowledge driven and are dynamic compositions of intelligent and interacting modules. While most of the research in such distributed industrial systems is focused in the study and establishment of control structures, the problem of diagnosis has been left relatively unattended. There are however significant open challenges in the diagnosis of such modular systems including: understanding fault propagation and ensuring scalability and co-evolution. A diagnostic architecture is proposed that addresses these issues.

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