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  • 1.
    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.

  • 2.
    Ribeiro, Luis
    et al.
    Linköping University, Department of Management and Engineering, Manufacturing Engineering. Linköping University, The Institute of Technology.
    Rocha, Andre
    University of Nova Lisboa, Portugal.
    Veiga, Angelo
    University of Nova Lisboa, Portugal.
    Barata, Jose
    University of Nova Lisboa, Portugal.
    Collaborative routing of products using a self-organizing mechatronic agent framework: A simulation study2015In: Computers in industry (Print), ISSN 0166-3615, E-ISSN 1872-6194, Vol. 68, p. 27-39Article in journal (Refereed)
    Abstract [en]

    Scheduling is a fundamental activity in modern shop floors. It is also known to be a highly complex problem which has motivated several sub-formulations and the subsequent models. Traditional approaches, typically enumerative or heuristic, struggle to contain the computation complexity and often present solutions for restricted cases that feature unrealistic assumptions in respect to the system size, flow of products and the system logistics/behaviour. The multiagent-based architecture presented in this paper is aligned with a set of emerging architectures that seek to explore more heterarchical decision and control models to circumvent the limitations of the traditional approaches. The main distinguishing factor of the proposed architecture is that it directly addresses (re)routing/local scheduling of products in plug and produce systems. It does not make any assumptions on the alignment of the orders and, instead, it dynamically handles the potential rescheduling of the orders already on the system based on the available resources, and their state, in a time efficient way. The architecture was tested under a simulation environment, that is geometrically accurate and that supports plug and produce in runtime, to characterize its performance under dynamic conditions.

  • 3.
    Skoglund, A.
    et al.
    Iggesunds Bruk AB.
    Brundin, A.
    Dragon Mining AB.
    Mandenius, Carl-Fredrik
    Linköping University, The Institute of Technology. Linköping University, Department of Physics, Chemistry and Biology, Biotechnology .
    Applying process monitoring with multivariate analysis through a knowledge-based systems approach to a paperboard machine2005In: Computers in industry (Print), ISSN 0166-3615, E-ISSN 1872-6194, Vol. 56, no 5, p. 472-478Article in journal (Refereed)
    Abstract [en]

    The utility of multivariate statistical process control (MSPC) in the process industry can be further improved by applying knowledge-based systems (KBS) principles. First, the extensive volumes of process data generated in a production process can be pre-assessed by the KBS according to set rules. Second, the KBS can make a selection between various MSPC model alternatives. Third, the KBS may support the plant operators when evaluating the MSPC output results. This is shown in this preliminary study where a KBS was applied to an existing MSPC application on a paperboard machine. It is suggested that these experiences may also successfully be applied with other continuous processes in the manufacturing industry. © 2005 Published by Elsevier B.V.

  • 4.
    Säfsten, Kristina
    et al.
    Linköping University, The Institute of Technology. Linköping University, Department of Mechanical Engineering.
    Winroth, M.
    Department of Industrial Engineering and Management, School of Engineering, Jönköping University, SE-55111 Jönköping, Sweden.
    Analysis of the congruence between manufacturing strategy and production system in SMME2002In: Computers in industry (Print), ISSN 0166-3615, E-ISSN 1872-6194, Vol. 49, no 1, p. 91-106Conference paper (Other academic)
    Abstract [en]

    A production system must reflect a company's manufacturing strategy and the chosen competitive priorities. Tools to assess the congruence between the manufacturing strategy and the production system can hence support the companies' competitive position. In this paper, the usability of an analysis model suggested by Miltenburg [How to Formulate and Implement a Winning Plan, Productivity Press, Portland, OR, 1995], aiming at mapping manufacturing strategy and production system, is investigated. The usefulness of the analysis model is investigated in terms of how easy it is to use and in terms of the obtained results. The investigation is performed by means of empirical studies in two medium sized manufacturing companies. The result is that the model seems to be useful in the sense that, if knowledge about the underlying principles in the analysis model is at hand, it is possible to investigate the congruence between a manufacturing strategy and a production system. It is, however, believed that the analysis model needs some further development to be considered an easy to use tool, e.g. for a SMME production manager. © 2002 Elsevier Science B.V. All rights reserved.

  • 5.
    Taxén, Lars
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Sustainable enterprise interoperability from the Activity Domain Theory perspective2012In: Computers in industry (Print), ISSN 0166-3615, E-ISSN 1872-6194, Vol. 63, no 8, p. 835-843Article in journal (Refereed)
    Abstract [en]

    The investigation of sustainable enterprise interoperability requires an explicit position of what constitutes the enterprise. In particular, human aspects like agency, sense-making, interpretation, common understanding, etc., must be taken into account. To this end, the purpose of this contribution is to make an inquiry into interoperability from the perspective of the Activity Domain Theory (ADT). In this theory, the enterprise is considered as a constellation of activity domains. The activity domain is characterized by the activity modalities - objectivation, contextualization, spatialization, temporalization stabilization, transition - which represent human, innate predispositions for coordinating actions. Interoperability is focused to one particular modality: the transition between activity domains. An example from the telecom industry is used to illustrate the approach. Implications for various aspects of interoperability are discussed. In conclusion, it is argued that the ADT is an alternative framework for advancing the understanding of sustainable interoperability between enterprises and enterprise systems.

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