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  • 1.
    Abdul Malek, Nurul Aida
    et al.
    Universiti Tun Hussein Onn Malaysia (UTHM), Malaysia / Department of Production, University of Vaasa, Finland.
    Shahzad, Khuram
    Department of Production, University of Vaasa, Finland.
    Takala, Josu
    Department of Production, University of Vaasa, Finland.
    Bojnec, Stefan
    Faculty of Management, University of Primorska, Slovenia.
    Papler, Drago
    Faculty of Management, University of Primorska, Slovenia.
    Liu, Yang
    Department of Production, University of Vaasa, Finland.
    Analyzing Sustainable Competitive Advantage: Strategically Managing Resource Allocations to Achieve Operational Competitiveness2015In: Management and Production Engineering Review, ISSN 2080-8208, E-ISSN 2082-1344, Vol. 6, no 4, p. 70-86Article in journal (Refereed)
    Abstract [en]

    In today’s dynamic business environment, a key challenge for all companies is to make adaptive adjustments to their manufacturing strategy. This study demonstrates the competitive priorities of manufacturing strategy in hydro-power case company to evaluate the level of sustainable competitive advantage and also to further analyze how business strategies are aligned with manufacturing strategies. This research is based on new holistic analytical evaluation of manufacturing strategy index, sense and respond, and sustainable competitive advantage models. These models help to describe, evaluate, and optimize resource allocation to meet the performance requirements in dynamic decision making. Furthermore, these models evaluate operational competitiveness for manufacturing strategies according to the multi-criteria priority. The results show that the adjustments of competitive priorities in manufacturing strategies by implementing the proposed holistic analytical models are helpful in strategically managing business operations. The discussion derives the most critical attributes in business operations while alignment of resource allocation with competitive priorities help to strategically focus those attributes. In conclusion, we argue that resource allocation and manufacturing strategies have become the most important capabilities in a business environment where companies focus to get a sustainable competitive advantage.

  • 2.
    Cao, Cejun
    et al.
    Tianjin Univ, Peoples R China; Jinan Univ, Peoples R China.
    Li, Congdong
    Tianjin Univ, Peoples R China; Jinan Univ, Peoples R China.
    Yang, Qin
    Sichuan Normal Univ, Peoples R China.
    Liu, Yang
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering. Jinan Univ, Peoples R China; Univ Vaasa, Finland.
    Qu, Ting
    Jinan Univ, Peoples R China.
    A novel multi-objective programming model of relief distribution for sustainable disaster supply chain in large-scale natural disasters2018In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 174, p. 1422-1435Article in journal (Refereed)
    Abstract [en]

    To save lives and reduce suffering of victims, the focus of this paper is to design the strategies of relief distribution regarding beneficiary perspective on sustainability. This problem is formulated as a multi objective mixed-integer nonlinear programming model to maximize the lowest victims perceived satisfaction, and minimize respectively the largest deviation on victims perceived satisfaction for all demand points and sub-phases. Then, genetic algorithm is proposed to solve this mathematical model. To validate the proposed methodologies, a case study from Wenchuan earthquake is illustrated. Computational results demonstrate genetic algorithm here can achieve the trade-off between solution quality and computation time for relief distribution with the concern of sustainability. Furthermore, it indicates that the methodology provides the tools for decision-makers to optimize the structure of relief distribution network and inventory, as well as alleviate the suffering of victims. Increasingly, this paper expects to not only validate the proposed model and method, but also highlight the importance and urge of considering beneficiary perspective on sustainability into relief distribution problem. (C) 2017 Elsevier Ltd. All rights reserved.

  • 3.
    Feng, Bin
    et al.
    Information Networking Institute, Carnegie Mellon University, Pittsburgh, 15213, USA.
    Liu, Yang
    School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan, China.
    An Improved RRT Based Path Planning with Safe Navigation2014In: Proceedings from the 2013 International Symposium on Vehicle, Mechanical, and Electrical Engineering, ISVMEE 2013, Taiwan, China, 21-22 December, 2014, Vol. 494-495, p. 1080-1083Conference paper (Refereed)
    Abstract [en]

    Path planning has been a crucial problem in robotics research. Some algorithms, such as Probabilistic Roadmaps (PRM) and Rapidly-exploring Random Trees (RRT), have been proposed to tackle this problem. However, these algorithms have their own limitations when applying in a real-world domain, such as RoboCup Small-Size League (SSL) competition. This paper raises a novel improvement to the existing RRT algorithm to make it more applicable in real-world.

  • 4.
    Hellman, Pasi
    et al.
    Department of Production, University of Vaasa, Vaasa, Finland.
    Liu, Yang
    Department of Production, University of Vaasa, Vaasa, Finland.
    Development of Quality Management Systems: How Have Disruptive Technological Innovations in Quality Management Affected Organizations?2013In: Quality Innovation Prosperity, ISSN 1335-1745, E-ISSN 1338-984X, Vol. 17, no 1, p. 104-119Article in journal (Refereed)
    Abstract [en]

    This research investigates the history of quality and development of quality management systems. History of quality is investigated from Hammurabi’s law all the way to today’s reigning quality initiatives including ISO, Six Sigma and Lean manufacturing. In the last chapters the current state of quality management is being examined. The foresight method is also opened up and examined. The Innovator’s dilemma concept, originally presented by Clayton Christensen, is used to analyse how quality management systems have been evolved in the last 100 years. Special emphasis is placed on the US manufacturing in the 1970s and 1980s. Based on the literature, the concept of Innovator’s dilemma and the fall of US manufacturing are merged. The result is a prime example that the Innovator’s Dilemma is a universal phenomenon. The industry leader is trying to maintain its position and do everything right but still it is destined to fail. The causes and effects are being discussed in later chapters.

  • 5.
    Hermans, Johanna
    et al.
    Department of Production, University of Vaasa, Vaasa, Finland.
    Liu, Yang
    Department of Production, University of Vaasa, Vaasa, Finland.
    Quality management in the new product development: A PPAP approach2013In: Quality Innovation Prosperity, ISSN 1335-1745, E-ISSN 1338-984X, Vol. 17, no 2, p. 37-51Article in journal (Refereed)
    Abstract [en]

    The purpose of this paper is to test Production Part Approval Process (PPAP) as a tool to build quality into the new product and processes and ensure that it meets the customer expectations. Research method is qualitative method using so called case-study to study the suitability of PPAP as a tool for quality management by building quality right into the new product and process. The case studies have been made with three different kinds of companies. PPAP is suitable tool for quality management in NPD processes when taking into account many requirements about personnel, processes, documentation etc. The paper has some limitations such as limited sample size. The results are encouraging managers to use PPAP as a tool for managing their company’s product development processes, quality work and supply chain partnerships. The manner in which the stakeholders could use to facilitate a sense of partnerships or co-workers aiming the same goals rather than have a traditional customer-seller relationship was valued in this study.

  • 6.
    Imeri, Shpend
    et al.
    High Level Training Institute, Macedonia.
    Shahzad, Khuram
    University of Vaasa, Faculty of Technology (Production Department), Finland.
    Takala, Josu
    University of Vaasa, Faculty of Technology (Production Department), Finland.
    Liu, Yang
    University of Vaasa, Faculty of Technology (Production Department), Finland.
    Sillanpää, Ilkka
    University of Vaasa, Faculty of Business Studies (Management Department), Finland.
    Ali, Tahir
    University of Vaasa, Faculty of Business Studies (International Business), Finland.
    Evaluation And Selection Process of Suppliers Through Analytical Framework: An Emprical Evidence of Evaluation Tool2015In: Management and Production Engineering Review, ISSN 2080-8208, E-ISSN 2082-1344, Vol. 6, no 3, p. 10-20Article in journal (Refereed)
    Abstract [en]

    The supplier selection process is very important to companies as selecting the right suppliers that fit companies strategy needs brings drastic savings. Therefore, this paper seeks to address the key area of supplies evaluation from the supplier review perspective. The purpose was to identify the most important criteria for suppliers’ evaluation and develop evaluation tool based on surveyed criteria. The research was conducted through structured questionnaire and the sample focused on small to medium sized companies (SMEs) in Greece. In total eighty companies participated in the survey answering the full questionnaire which consisted of questions whether these companies utilize some suppliers’ evaluation criteria and what criteria if any is applied. The main statistical instrument used in the study is Principal Component Analysis (PCA). Thus, the research has shown that the main criteria are: the attitude of the vendor towards the customer, supplier delivery time, product quality and price. Conclusions are made on the suitability and usefulness of suppliers’ evaluation criteria and in way they are applied in enterprises.

  • 7.
    Kantola, Jussi
    et al.
    Univ Vaasa, Finland.
    Liu, Yang
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering. Univ Vaasa, Finland.
    Peura, Pekka
    Univ Vaasa, Finland.
    de Leeuw, Tim
    Tilburg Univ, Netherlands.
    Zhang, Yingfeng
    Northwestern Polytech Univ, Peoples R China.
    Naaranoja, Marja
    Univ Vaasa, Finland.
    Segev, Aviv
    Korea Adv Inst Sci and Technol, South Korea.
    Huisingh, Donald
    Univ Tennessee, TN USA.
    Innovative products and services for sustainable societal development: Current reality, future potential and challenges2017In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 162, p. S1-S10Article in journal (Refereed)
    Abstract [en]

    This special volume originates from the International Conference on Innovation and Management held at University of Vaasa in Finland in 2014. Talks with the key note speaker and Editor-in-Chief of the Journal of Cleaner Production led to an idea to develop a special volume about innovative products and services according to the themes of the conference. Thus, the purpose of this special volume is to explore different viewpoints of how innovative products and services may support sustainable societal development. There are five thematic areas with papers that describe new advancements in different industries and organizations. The included papers cover relevant theoretical background and present case studies and practical results. This special volume shows that great progresses are being made in different thematic areas but also that there are so much more waiting to be done for sustainable societal development. This volume indicates that cross-disciplinary approach is truly needed to achieve societal sustainable development. This requires people to change their mindsets and genuinely co-operate towards better future. (C) 2017 Published by Elsevier Ltd.

  • 8.
    Kantola, Jussi
    et al.
    Department of Production, University of Vaasa, Finland.
    Liu, Yang
    School of Management, Wuhan University of Technology, China.
    Zhang, Yingfeng
    School of Mechanical Engineering, Northwestern Polytechnical University, China.
    Segev, Aviv
    Department of Knowledge Service Engineering, KAIST, South Korea.
    Leeuw, Tim de
    School of Economics and Management, Tilburg University, The Netherlands.
    Naaranoja, Marja
    Department of Production, University of Vaasa, Finland.
    Peura, Pekka
    Levón Institute, University of Vaasa, Finland.
    Call for papers for a Special Volume of the Journal of Cleaner Production on “Innovative Products and Services for Sustainable Societal Development”2015In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 93, p. 1-4Article in journal (Refereed)
    Abstract [en]

    Papers were asked for a Special Volume of the Journal of Cleaner Production on Innovative products and services for sustainable societal development. For this Call for Papers (CfPs) authors are invited to submit papers about innovative strategies, methodologies and models for Sustainable Supply Chain Management. The topics of interest in this theme include innovative strategies and methodologies for sustainable supply chain configuration, implementation and monitoring, and new models and methods for logistics and supply chain management. Topics in the Remanufacturing and networked manufacturing theme include innovative production scheduling strategies and models for remanufacturing and networked manufacturing, real-time decision-making strategies and models for remanufacturing and networked manufacturing, and manufacturing resource configuration methods that are designed to catalyze the transition to equitable, post-fossil carbon societies. Papers must be written in good English. Authors with limitations in the command of written English are recommended to have their papers edited by a Native English Science Editor before the first submission because poorly written documents can compromise the decisions during the review process.

  • 9.
    Lee, Tzong-Ru (Jiun-Shen)
    et al.
    Department of Marketing, National Chung Hsing University, Taichung, Taiwan.
    Lin, Szu-Hai
    Department of Marketing, National Chung Hsing University, Taichung, Taiwan.
    Liu, Yang
    Department of Production, University of Vaasa, Vaasa, Finland.
    Imeri, Shpend
    Department of Production, LEORON Professional Development Institute, Dubai, United Arab Emirates.
    Key success factors for implementing Taiwan TrainQuali System (TTQS) in Taiwanese enterprises2015In: Production & Manufacturing Research, ISSN 2169-3277, Vol. 3, no 1, p. 84-102Article in journal (Refereed)
    Abstract [en]

    Facing the change of economic environment and the need of enhancing competitive advantages, small and medium-sized enterprises in Taiwan utilize ‘Taiwan TrainQuali System (TTQS)’ on training talents. In order to maximize the benefits of TTQS implementation and increase the training efficiency, this paper aims to use ‘grey relational analysis (GRA)’ to extract key success factors (KSFs) from 46 factors, which influence the implementation of TTQS. Moreover, this study also verifies the KSFs with nine case companies which have won gold medals in TTQS evaluation and sum up 12 concrete practices as references for other enterprises in order to show how to implement the TTQS training quality system better in the future, and in turn enhance the quality and performance of human resource training.

  • 10.
    Li, Congdong
    et al.
    School of Management, Jinan University, Guangzhou, 510632, China / College of Management and Economics, Tianjin University, Tianjin, 300072, China.
    Zhang, Fanshun
    School of Management, Jinan University, Guangzhou, 510632, China.
    Cao, Cejun
    Institute of Physical Internet, School of Electrical and Information Engineering, Jinan University (Zhuhai Campus), Zhuhai, 519070, China / College of Management and Economics, Tianjin University, Tianjin, 300072, China.
    Liu, Yang
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering. Institute of Physical Internet, School of Electrical and Information Engineering, Jinan University (Zhuhai Campus), Zhuhai, 519070, China / Department of Production, University of Vaasa, 65200 Vaasa, Finland.
    Qu, Ting
    Institute of Physical Internet, School of Electrical and Information Engineering, Jinan University (Zhuhai Campus), Zhuhai, 519070, China.
    Organizational coordination in sustainable humanitarian supply chain: an evolutionary game approach2019In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 219, p. 291-303Article in journal (Refereed)
    Abstract [en]

    Sustainable humanitarian supply chain has a great impact on saving lives, decreasing human suffering and contributing to development. Organizational coordination plays an important role in it, although it is uncommon to be established due to the conflicting interests and expectations. To cope with the problem and achieve the sustainability of humanitarian supply chain, the coordination between private sector and humanitarian organization was further discussed with the help of sustainable principle regarding stakeholder approach. Different from the existing literature that elaborated the drivers and the advantages of coordination, this paper aims to explore the coordination mechanism regarding whether to coordinate, when to adopt the optimal coordinated strategy and how such a strategy can perform well. To analyze the tendency of the coordinated decisions, evolutionary game models concerning traditional and trust mechanisms were developed. Then, computational studies based on hypothetic data were simulated to validate the effectiveness of the proposed model. Results indicated that the coordination decision was affected by coordinated returns and costs, normal returns and extra returns in terms of the traditional mechanism. Several situations in regard to the coordinated decisions were analyzed by adopting evolutionary stable strategies. Moreover, trust had a significantly positive impact on coordination promotion under the support of potential returns and high-level trust. Finally, managerial insights for achieving the sustainable humanitarian supply chain were given from the perspective of organizational coordination and strategy.

  • 11.
    Liu, Sichao
    et al.
    Department of Production Engineering, KTH Royal Institute of Technology, Stockholm, Sweden.
    Zhang, Yingfeng
    Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Shaanxi, 710072, PR China / Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, 518055, PR China.
    Liu, Yang
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering. Department of Production, University of Vaasa, 65200, Vaasa, Finland.
    Wang, Lihui
    Department of Production Engineering, KTH Royal Institute of Technology, Stockholm, Sweden.
    Wang, Xi Vincent
    Department of Production Engineering, KTH Royal Institute of Technology, Stockholm, Sweden.
    An ‘Internet of Things’ enabled dynamic optimization method for smart vehicles and logistics tasks2019In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 215, p. 806-820Article in journal (Refereed)
    Abstract [en]

    Centralized and one-way logistics services and the lack of real-time information of logistics resources are common in the logistics industry. This has resulted in the increased logistics cost, energy consumption, logistics resources consumption, and the decreased loading rate. Therefore, it is difficult to achieve efficient, sustainable, and green logistics services with dramatically increasing logistics demands. To deal with such challenges, a real-time information-driven dynamic optimization strategy for smart vehicles and logistics tasks towards green logistics is proposed. Firstly, an ‘Internet of Things’-enabled real-time status sensing model of logistics vehicles is developed. It enables the vehicles to obtain and transmit real-time information to the dynamic distribution center, which manages value-added logistics information. Then, such information can be shared among logistics companies. A dynamic optimization method for smart vehicles and logistics tasks is developed to optimize logistics resources, and achieve a sustainable balance between economic, environmental, and social objectives. Finally, a case study is carried out to demonstrate the effectiveness of the proposed optimization method. The results show that it contributes to reducing logistics cost and fuel consumption, improving vehicles’ utilization rate, and achieving real-time logistics services with high efficiency.

  • 12.
    Liu, Yang
    Department of Computer Science, University of Vaasa, Vaasa, Finland.
    Enhancement of Short Range Wireless Communication Performance Using Adaptive Frequency Hopping2008In: 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing, Institute of Electrical and Electronics Engineers (IEEE), 2008, p. 1-5Conference paper (Refereed)
    Abstract [en]

    In this paper, a typical commercial short range wireless communication module which has weak immunity to interference has been tested and its performance has been evaluated with test bed. An adaptive frequency hopping scheme has been proposed to improve its immunity to interference and therefore enhance the wireless communication performance for reliability and delay-critical applications. Such scheme can be easily adopted to similar short range wireless communications.

  • 13.
    Liu, Yang
    Department of Production, University of Vaasa, Vaasa, Finland.
    Sustainable competitive advantage in turbulent business environments2013In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 51, no 10, p. 2821-2841Article in journal (Refereed)
    Abstract [en]

    The future competitiveness of manufacturing operations under dynamic and complex business environments relies on forward-thinking strategies. The objective of this paper is to identify and develop the operational competitiveness in a sustainable manner by implementing a unique sustainable competitive advantage (SCA) for managing dynamic business situations. This paper develops a theoretical approach to integrating the core factors which affect operational competitiveness performance, that is to say manufacturing strategy and transformational leadership with technology level, into conceptual analytical models to evaluate overall competitiveness, and utilises sense and respond (S&R) for dynamic decision-making to optimise resource allocations and adjust strategies in order to develop competitiveness potential in a sustainable manner. From the empirical research, the adjustments in manufacturing strategy and transformation leadership by implementing SCA through fast strategy with proposed models are found to be effective and successful in managing turbulent business environments such as the economic crisis. Such proactive operations are proposed as the unique SCA with empirical research carried out in a global context, which provides both theoretical significance and also practical benefit to conclude the experience of managing operations in turbulent business environments.

  • 14.
    Liu, Yang
    et al.
    Faculty of Technology, University of Vaasa, Vaasa, Finland.
    Jantti, Riku
    Faculty of Technology, University of Vaasa, Vaasa, Finland.
    A Study Towards Enhanced Reliability Performance of Remote Control and Monitoring Application Over Commercial Wireless Communication Networks2006In: 2006 International Conference on Wireless Communications, Networking and Mobile Computing, Institute of Electrical and Electronics Engineers (IEEE), 2006, p. 1-4Conference paper (Refereed)
    Abstract [en]

    Remote control and monitoring systems provide many useful operating advantages in industrial automation and demand highly reliable and secure communication means. Their widespread use is, however, limited because of the high cost of current communications in use making them economically infeasible. Hence, there is a need to develop new low cost communication and control concepts by making such solutions economically feasible. In this paper, we present a scheme for implementing reliable wireless communication links for application of remote control and monitoring system based on current available commercial wireless communication networks, e.g. GPRS/EDGE/UMTS. The reliability enhancement over wireless networks has been proposed and its performance has been studied. This paper examines the proposed solution by means of both analytical and numerical evaluation, and has shown that the demanded reliability performance can be met by using only commercial wireless communication networks.

  • 15.
    Liu, Yang
    et al.
    Department of Production, University of Vaasa, Vaasa, Finland.
    Liang, Liting
    SC-Research, University of Vaasa, Vaasa, Finland.
    Evaluating and developing resource-based operations strategy for competitive advantage: an exploratory study of Finnish high-tech manufacturing industries2015In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 53, no 4, p. 1019-1037Article in journal (Refereed)
    Abstract [en]

    Firms are struggling to achieve and maintain the competitive advantage in today’s turbulent business environment. How can we evaluate and (re)develop strategic initiatives that put into place operational capabilities to provide new sources of firm-level competitive advantage? This paper tries to explore the practical intersection of operations management and strategy from resource-based view by evaluating and developing the sustainability level of operational competitive advantage, that how well the resource-based strategy can support its operations. It develops a theoretical approach to integrate the core factors, which determine operational competitiveness performance – manufacturing strategy and its supporting resource allocation, into conceptual analytical models. The models utilise sense and respond (S&R) methodology for dynamic decision-making to detect and adjust resource allocation and in turn optimise the resource-based strategy in order to develop the operational competitive advantage in a sustainable manner. Eighteen case companies in Finnish high-tech manufacturing industries are selected for in-depth study and analysis with proposed models to conclude how the optimal adjustments of resource-based strategy by supporting its operations can lead to sustainable competitive advantage (SCA). Constantly optimising resource allocation aligning with resource-based operations strategy supported by the S&R idea of agile strategy implementations is proposed as the unique SCA.

  • 16.
    Liu, Yang
    et al.
    Vaasa University of Applied Sciences, Vaasa, Finland .
    Liu, Dong
    Vaasa University of Applied Sciences, Vaasa, Finland .
    Movement Status Based Vision Filter for RoboCup Small-Size League2012In: Advances in Automation and Robotics, Vol. 2: Selected Papers from the 2011 International Conference on Automation and Robotics (ICAR 2011), Dubai, December 1–2, 2011 / [ed] Gary Lee, Springer, 2012, p. 79-86Chapter in book (Other academic)
    Abstract [en]

    Small-size soccer league is a division of the RoboCup (Robot world cup) competitions. Each team uses its own designed hardware and software to compete with othersunder defined rules. There are two kinds of data which the strategy system will receive from the dedicated server, one of them is the referee commands, and the other one is vision data. However, due to the network delay and the vision noise, we have to process the data before we can actually use it. Therefore, a certain mechanism is needed in this case.Instead of using some prevalent and complex algorithms, this paper proposes to solve this problem from simple kinematics and mathematics point of view, which can be implemented effectively by hobbyists and undergraduate students. We divide this problem by the speed status and deal it in three different situations. Testing results show good performance with this algorithm and great potential in filtering vision data thus forecasting actual coordinates of tracking objects.

  • 17.
    Liu, Yang
    et al.
    Faculty of Technology, University of Vaasa, Vaasa, Finland.
    Mazurkiewicz, Milosz
    Department of Information Technology, Vaasa University of Applied Sciences, Vaasa, Finland.
    Kwitek, Marek
    Department of Information Technology, Vaasa University of Applied Sciences, Vaasa, Finland.
    A Study Towards Reliability- and Delay-Critical Wireless Communication for RoboCup Robotic Soccer Application2007In: 2007 International Conference on Wireless Communications, Networking and Mobile Computing, Institute of Electrical and Electronics Engineers (IEEE), 2007, p. 633-636Conference paper (Refereed)
    Abstract [en]

    RoboCup is an international competition for a team of multiple fast-moving robots under a dynamic environment to autonomously play soccer game against another team. Due to the nature of the competition, the requirements and constraints for the wireless communication are extremely tight. The challenge is that wireless communication is involved in the control loop and therefore the reliability and propagation delay are vital factors which directly affect the team performance. Beside, various interferences with known and unknown frequency / transmission power usually exist at the competition site, which are hazardous environment to achieve reliable and low latency performance for wireless communication. This paper investigates the performance strengths and weaknesses of wireless communication means e.g. RF, IEEE 802.11a/b, IEEE 802.15.4, DECT, Linx, etc, which are commonly used nowadays in different RoboCup teams and propose improvements towards reliable and delay-critical wireless communication.

  • 18.
    Liu, Yang
    et al.
    Department of Production, University of Vaasa, Vaasa, Finland.
    Nousiainen, Taru
    Department of Marketing, University of Vaasa, Vaasa, Finland.
    Imeri, Shpend
    LEORON Professional Development Institute, Dubai, United Arab Emirates.
    Design as a source of international competitive advantage for SMOPEC firms2015In: International Journal of Innovation and Learning, ISSN 1471-8197, E-ISSN 1741-8089, Vol. 18, no 3, p. 277-298Article in journal (Refereed)
    Abstract [en]

    Since the rise of the international markets, firms need to be more creative and dynamic in order to gain success internationally. Design as an intangible non-price factor offers efficiently a unique way to achieve an international competitive advantage over competitors. This study presents theoretical consideration of design, its dimensions, and how design can provide a distinct competitive advantage in ever-increasing global competition. The theoretical consideration helps form a conceptual framework, conducted by descriptive research, emphasising the internal and external influences that affect the ways of using design as a source of international competitive advantage amongst small and open economies (SMOPECs). This study has found that design resource as firm’s internal resource needs to be valuable and rare, and offer a unique way to generate a value creating competitive strategy. To get the utmost benefits of design, it should be used strategically and linked to a firm’s business strategy and other key functions. The theoretical consideration further showed explicitly that a positive correlation exists between design and firm’s business success. However, it becomes clear that there are differences between the insight of knowledge and the reality of using it.

  • 19.
    Liu, Yang
    et al.
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering.
    Sakao, Tomohiko
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering.
    Lindahl, Mattias
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering.
    Dahlhammar,, Carl
    IIIEE, Lund University, P.O. Box 196, 22100 Lund, Sweden.
    Editorial2018In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 73, p. 2p. 1-2Article in journal (Refereed)
    Abstract [en]

    This Procedia CIRP Special Issue is a collection of manuscripts from the 10th CIRP Conference on Industrial Product-Service Systems (CIRP IPS2 2018). Because our societies face increasing demands to better address resource and environmental challenges, this year’s theme was resource efficient and effective solutions (REES).

  • 20.
    Liu, Yang
    et al.
    Department of Production, University of Vaasa, Vaasa, Finland.
    Takala, Josu
    Department of Production, University of Vaasa, Vaasa, Finland.
    Competitiveness development of Chinese manufacturing enterprises in global context for crisis management2010In: International Journal of Management and Enterprise Development, ISSN 1468-4330, E-ISSN 1741-8127, Vol. 9, no 1, p. 87-115Article in journal (Refereed)
    Abstract [en]

    This paper connects previous research in global competitiveness analysis, taking the impact of global financial crisis into account, to evaluate how manufacturing companies are able to manage crisis by adjusting their manufacturing strategy and transformational leadership together with technology level to improve operational competitiveness performance. It develops a theoretical approach of integrating the core factors which influence the operational competitiveness performance, i.e. manufacturing strategy, and transformational leadership with technology level, into conceptual analytical models to evaluate overall competitiveness. The empirical studies are focused to case companies in the most dynamic market - China, especially large- and medium-sized manufacturing enterprises, and compare their operational performances in global context. The overall competitiveness of multiple cases are studied using the proposed analytical models to conclude the experience of crisis management, which can become a model for crisis management studies of companies globally as well as foreign companies in China.

  • 21.
    Liu, Yang
    et al.
    Department of Information Technology, Vaasa University of Applied Sciences, Finland / School of Electrical and Electronic Engineering, Hubei University of Technology, China.
    Vinh Vo, Thanh
    Department of Information Technology, Vaasa Univers ity of Applied Sciences, Finland.
    Bin packing solution for automated packaging application2012In: 2011 International Conference on Electrical Information and Mechatronics, ICEIM2011,  December 23-25, Jiaozuo, China / [ed] Xudong Wang, Baoyu Xu and Shaobo Zhong, Trans Tech Publications, 2012, Vol. 143-144, p. 279-283Chapter in book (Refereed)
    Abstract [en]

    This paper introduces the implementation of a new heuristic recursive algorithm for bin packing solution used in automated packaging application. The theoretical method proposed in this paper is successfully implemented on a real ABB robot arm with some important improvements such as added rotation flexibility and removing an added product from the structure. The computational results on a class of benchmark problems have shown that this algorithm not only finds shorter height than the known meta-heuristic ones, but also runs in shorter time. The average running time is very suitable for such kind of automated packaging application.

  • 22.
    Liu, Yang
    et al.
    Department of Information Technology, Vaasa University of Applied Sciences, Vaasa, Finland / School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan, China.
    Vo, Thanh Vinh
    Department of Information Technology, Vaasa University of Applied Sciences, Vaasa, Finland.
    A Fast Machine Vision for Automated Packaging2012In: Electrical, Information Engineering and Mechatronics 2011: Proceedings of the 2011 International Conference on Electrical, Information Engineering and Mechatronics (EIEM 2011) / [ed] Wang, Xudong; Wang, Fuzhong; Zhong, Shaobo, Springer, 2012, p. 719-726Chapter in book (Other academic)
    Abstract [en]

    This paper introduces a fast, simple, cheap but accurate and reliable vision system designed for the automated packaging robot application, which is to replace manual product packaging. The objective is to develop a vision system and algorithm for such application and achieve pattern tracking in nearly real-time with a normal entry-level computer. This paper describes in detail the implementation of the proposed vision system including image processing and pattern recognition. The application uses only a simple gray scale image of product as sample pattern to track the product in the scene at real-time speed, which has come near to replace human eyes. The proposed machine vision has been implemented and equipped on a real ABB robot arm with other related hardware/software to achieve automated packaging. The performance has been evaluated as a success in both timing and precision. Its stability and reliability are also proved under laboratory testing environment.

  • 23.
    Liu, Yang
    et al.
    Department of Production, University of Vaasa, Vaasa, Finland.
    Yang, Wenshan
    Department of Production, University of Vaasa, Vaasa, Finland / Public Meteorological Service Center, Hubei Provincial Bureau of Meteorology, Wuhan, China.
    Meteorological information service support system in wind park application2015In: Benchmarking: An International Journal, ISSN 1463-5771, E-ISSN 1758-4094, Vol. 22, no 2, p. 222-237Article in journal (Refereed)
    Abstract [en]

    Purpose: The purpose of this paper is to introduce a holistic decision support system based on condition-based maintenance which utilizes meteorological forecasting information to support decision-making process in services of wind power enterprises.

    Design/methodology/approach: A pilot conceptual system combining with meteorological information and operations management has been formulated in this study. The proposed system provides benchmarking to support decision making directly and indirectly basing on processing meteorological information and evaluating its impact on service operations. It collects meteorological data to predict failure probabilities in different areas which need corresponding maintenance service and schedule the optimal maintenance periods. In addition, it provides meteorological forecasting and decision support in case of extreme weather events (EWEs).

    Findings: The conceptual study shows that there is a connection between the meteorological conditions and failures, and it is feasible to make service decisions based on the predictions of weather conditions and their impacts to failures. Research limitations/implications ᅵ The research presented at the present phase is not much beyond a conceptual framework. The actual implementation and all possible related practical issues will be dealt with in future research.

    Practical implications: It helps decision makers to predict and identify possible categories of faults in wind turbine, make optimal service decisions to enhance the output performance of wind power generation, and take in advance emergency counteractions in case of EWEs.

    Originality/value: It presents a novel concept and provides a roadmap to achieve optimal operations in wind park application through combining meteorological information system with service decision making.

  • 24.
    Liu, Yang
    et al.
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering. Jinan Univ, Peoples R China.
    Zhou, Yang
    Wapice Ltd, Finland.
    Development of Distributed Cache Strategy for Analytic Cluster in an Internet of Things System2018In: 2018 IEEE 15TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC), IEEE , 2018Conference paper (Refereed)
    Abstract [en]

    this paper discusses the development of a distributed cache strategy for an analytic cluster in an Internet of Things (IoT) system. In this paper, Least Recently Used (LRU), Proactive Cache and distributed system related concepts are discussed. The study about the approaches for performance optimization, nodes and data distributing in the IoT system is also performed. The novelty about this research is the concept of a placeholder and its use together with Proactive Cache to optimize the traditional LRU algorithm in the use case of a data analytic cluster in an IoT system, which can reduce the response delay of the query up to 90% in the test case.

  • 25.
    Matinaro, Ville
    et al.
    Department of Production, University of Vaasa, Vaasa, Finland.
    Liu, Yang
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering.
    Towards increased innovativeness and sustainability through organizational culture: A case study of a Finnish construction business2017In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 142, p. 3184-3193Article in journal (Refereed)
    Abstract [en]

    In the Finnish construction business, innovation management is considered to be difficult. However, cultural transition towards more innovative and creative thinking in construction industry can have vital impact on sustainability nationally and globally. There is an urgent need to examine at a more detailed level innovativeness in the construction companies and especially the manager's abilities to manage innovative organizational culture. It appears that lacks in managing culture and people with difficulties to understand key elements of innovativeness in organizational context seems to be a barrier towards increased innovativeness. The main finding is that the managers in construction industry cannot manage or create culture towards innovativeness. Therefore, there is major sector level lacks in innovativeness that have negative impact on societal change towards sustainability. This paper focus on managing organizational culture to reveal innovativeness in the case company that is vital for sustainability.

  • 26.
    Matinaro, Ville
    et al.
    Department of Production, University of Vaasa, Finland.
    Liu, Yang
    Department of Production, University of Vaasa, Finland.
    Virtual design and construction: innovation process and diffusion in Finnish construction business2015In: International Journal of Innovation and Learning, ISSN 1471-8197, E-ISSN 1741-8089, Vol. 18, no 2, p. 133-150Article in journal (Refereed)
    Abstract [en]

    In construction business, implementation of innovations seems to be difficult especially when high-technology is involved. There are some observed barriers such as its cyclical nature and project-based working which are not ideal for implementing processes. This paper highlights leadership skills instead of traditional skills from the management and suggests that there is a need to change some human resource management practices. In projects-based industry, learning processes must happen in the projects themselves and cooperation between projects is highly important. Also good communication skills and channels are essential. Innovations and leadership have a crucial role in this process.

  • 27.
    Matinaro, Ville
    et al.
    Aalto Univ, Finland.
    Liu, Yang
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering. Univ Vaasa, Finland.
    Lee, Tzong-Ru (Jiun-Shen)
    Natl Chung Hsing Univ, Taiwan.
    Poesche, Jurgen
    Aalto Univ, Finland.
    Extracting key factors for sustainable development of enterprises: Case study of SMEs in Taiwan2019In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 209, p. 1152-1169Article in journal (Refereed)
    Abstract [en]

    In general, enterprises should pay close attention to sustaining sufficient competitiveness in turbulent global business environments that focus on sustainable operations, especially environmental issues. It is obligated for enterprises to protect the environment, utilize sustainable resources and establish eco-industries. Many large enterprises have joined the World Business Council for Sustainable Development (WBCSD). However, the small and medium-sized enterprises (SMEs) pay various degrees of attention to environmental issues and sustainable operations. This paper investigates the sustainable development and innovation of 233 SMEs in Taiwan to find out how to develop a business model that helps them operate in a more sustainable and environmentally friendly way. According to our results, a sustainable business model is a key factor for competitive advantages with straightforward connections to business success. Results also indicate that a sustainable business model is performed with the agreement of colleagues in an organization and it requires comprehensive strategic efforts. This study has limited findings to show the insights of Taiwanese SMEs and should not be generalized in other contexts. (C) 2018 Elsevier Ltd. All rights reserved.

  • 28.
    Nie, Duxian
    et al.
    South China Agr Univ, Peoples R China.
    Qu, Ting
    Jinan Univ, Peoples R China.
    Liu, Yang
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering. Jinan Univ, Peoples R China.
    Li, Congdong
    Jinan Univ, Peoples R China.
    Huang, G. Q.
    Jinan Univ, Peoples R China; Univ Hong Kong, Peoples R China.
    Improved augmented Lagrangian coordination for optimizing supply chain configuration with multiple sharing elements in industrial cluster2019In: Industrial management + data systems, ISSN 0263-5577, E-ISSN 1758-5783, Vol. 119, no 4, p. 743-773Article in journal (Refereed)
    Abstract [en]

    Purpose The purpose of this paper is to study various combination forms of the three basic sharing elements (i.e. orders sharing, manufacturers capacity sharing and suppliers capacity sharing) in the cluster supply chain (CSC), formulate a distributed model to protect enterprises decision privacy and seek to develop an effective method for solving the distributed complex model. Design/methodology/approach A distributed assembly cluster supply chain configuration (ACSCC) model is formulated. An improved augmented Lagrangian coordination (ALC) is proposed and used to solve the ACSCC model. A series of experiments are conducted to validate the improved ALC and the model. Findings Two major findings are obtained. First, the market orders quantity change and the sales price of the product have a great impact on both the optimal results of the ACSCC and the cooperative strategy, especially, when the market order increases sharply, enterprises have to adopt multiple cooperative strategies to complete the order; meanwhile, the lower sales price of the product helps independent suppliers to get more orders. Second, the efficiency and computational accuracy of the improved ALC method are validated as compared to the centralized ALC and Lingo11. Research limitations/implications This paper formulated the single-period ACSCC model under certain assumptions, yet a multi-period ACSCC model is to be developed, a more comprehensive investigation of the relationships among combination forms is to be extended further and a rigid proof of the improved ALC is necessary. Practical implications Enterprises in the industrial cluster should adopt different cooperative strategies in terms of the market orders quantity change and the sales price of the product. Social implications The proposed various combination forms of sharing elements and the formulated ACSCC model provide guidance to managers in the industrial cluster to choose the proper policy. Originality/value This research studies various combination forms of the three basic sharing elements in the CSC. A distributed ACSCC model has been established considering simultaneously multiple sharing elements. An improved ALC is presented and applied to the ACSCC problem.

  • 29.
    Peng, Huatao
    et al.
    Wuhan University of Technology, Peoples R China.
    Liu, Yang
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Hubei University of Technology, Peoples R China; University of Vaasa, Finland.
    A comprehensive analysis of cleaner production policies in China2016In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 135, p. 1138-1149Article in journal (Refereed)
    Abstract [en]

    Studies of cleaner production have often focused on two domains: the applications and the effects. An ever-increasing importance of cleaner production is pushing researchers to pay more attention to the formulation and principles of cleaner production policies. However, there is nearly none of the previous research that systematically and comprehensively analyses the development processes of cleaner production policies and exploring their characteristics deeply. The missing study is important in not only contributing to the perfection of cleaner production policies but also influencing the strategic planning of firms. This paper bridges this gap by first presenting a comprehensive study of the development process of cleaner production policies and then exploring their characteristics. We choose China, the biggest developing country and one of the most challenging countries to implement cleaner production, as the main research target and in addition a number of other developed and developing countries for comparisons. To investigate deeper into the characteristics of cleaner production in China, all the major policies and regulations issued by central ministries from 1997 to 2013 have been studied, ensuring the accuracy and reliability of the research. By employing T-LAB software with linguistic and statistical content analysis method, this paper derives following conclusions. (1) "audit", "implementation" and "environmental" have the highest correlation coefficients with cleaner production; (2) cleaner production policies focus on four themes: "pilot", "indicator", "people" and "list"; (3) the formulation and implementation of cleaner production policies are endowed with typical characteristics of collaboration; (4) the characteristics of cleaner production policies are typically constraining types that evidently guide and regulate the behaviours of firms. This paper contributes as a general important reference of cleaner production policies for governments and firms especially in developing countries. (C) 2016 Elsevier Ltd. All rights reserved.

  • 30.
    Peng, Huatao
    et al.
    Wuhan Univ Technol, Peoples R China.
    Liu, Yang
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering. Univ Vaasa, Finland.
    How government subsidies promote the growth of entrepreneurial companies in clean energy industry: An empirical study in China2018In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 188, p. 508-520Article in journal (Refereed)
    Abstract [en]

    Under the context that entrepreneurial risk in clean energy industry has become increasingly complex, government subsidies are helpful to guide and promote the entrepreneurial companies survival and development. This paper explored the roles of government subsidies, more specifically, in forms of government subsidies beforehand and government subsidies afterwards on the relationship between Ramp;D and entrepreneurial companies growth, particularly in the clean energy industry. To delve deeper into the roles, this paper analysed data from the 2013 and 2014 annual reports of 58 listed companies in clean energy industries in China. By using a moderating effect model, this paper derived following conclusions: (1) Ramp;D investment does not have a lag effect on entrepreneurial companies growth; (2) Government subsidies beforehand have negative moderating effects on the relationship between Ramp;D investment and entrepreneurial companies growth; (3) Government subsidies afterwards have positive moderating effects on the relationship between Ramp;D investment and entrepreneurial companies growth. This paper helped to understand the difference between the functions of government subsidies beforehand and government subsidies afterwards. To some extent, the results can revise prior studies about the function of government subsidies to influence the relationship between Ramp;D and entrepreneurial companies growth. The results will also be helpful for the government to evaluate the performance of government subsidies and design appropriate subsidies strategies. (C) 2018 Elsevier Ltd. All rights reserved.

  • 31.
    Poesche, Jurgen
    et al.
    Aalto Univ, Finland.
    Shipin, Oleg
    Asian Inst Technol, Thailand.
    Liu, Yang
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering. Univ Vaasa, Finland.
    Huisingh, Donald
    Univ Tennessee, TN USA.
    Kauranen, Ilkka
    Aalto Univ, Finland.
    What biological evolution teaches about sustainable engineering innovation2019In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 240, article id UNSP 118267Article, review/survey (Refereed)
    Abstract [en]

    The objective of this paper is to provide a better understanding of the dynamics of engineering innovation by building a novel, extensive metaphor between engineering innovation and biological evolution. In a metaphor, a phrase literally denoting one kind of idea is used in place of another in order to suggest an analogy between them. In this metaphor, the insights gleaned from biological evolution were applied to engineering innovation. Biological evolution and engineering innovation are similar in that both exhibit creative destruction as evidenced by Darwin and Schumpeter. In the research analyses, special attention is given to the current multipolar world, with the poles consisting of societies based on different cultural traditions and to the emerging renaissance of decentralized production and its current iteration, Co-Engaging Production. The metaphor used in this paper challenges and even contradicts conventionally explicit and embedded beliefs in six ways. First, the dominance of Occidental science and engineering cannot be expected to last indefinitely. Second, the current dominance of Occidental science and engineering can have detrimental effects on engineering innovation. Third, free trade leads to inefficiency. Fourth, successful engineering innovation requires societal legitimacy and environmental conformity. Fifth, human cognition forms the basis of multipolar types of science and engineering. Sixth, past and current dominance reduces absorptive capacity in the Occidental. (C) 2019 Elsevier Ltd. All rights reserved.

  • 32.
    Qian, Cheng
    et al.
    Northwestern Polytech Univ, Peoples R China; Southern Univ Sci and Technol, Peoples R China.
    Zhang, Yingfeng
    Northwestern Polytech Univ, Peoples R China.
    Liu, Yang
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering. Univ Vaasa, Finland.
    Wang, Zhe
    Northwestern Polytech Univ, Peoples R China.
    A cloud service platform integrating additive and subtractive manufacturing with high resource efficiency2019In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 241, article id UNSP 118379Article in journal (Refereed)
    Abstract [en]

    Cloud manufacturing has been studied for years, yet commercial implementations are still limited. The recent advances in information technology have stimulated the free sharing of additive and subtractive manufacturing (A/SM) resources through cloud services. Currently, due to the lack of a general method to model manufacturing capabilities, as well as the absence of an open platform to integrate business and manufacturing processes, it is difficult to integrate A/SM resources within one platform efficiently and seamlessly. In this research, a service encapsulation model for A/SM resources was described using ontology modeling technique. A collaborative cloud platform integrating A/SM was designed that can provide optimal production plans considering time, cost, quality, and energy waste during manufacturing. The proposed platform and models were demonstrated by a prototype system and tested in a case study, which showed the integrated platform can increase the utilization rate of resources while reducing energy consumption. This research has provided a practical tool for virtualization, integration, and configuration of A/SM resource with high efficiency. (C) 2019 Elsevier Ltd. All rights reserved.

  • 33.
    Ren, Shan
    et al.
    Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Shaanxi, 710072, PR China.
    Zhang, Yingfeng
    Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Shaanxi, 710072, PR China / Research & Development Institute in Shenzhen, Northwestern Polytechnical University, PR China.
    Liu, Yang
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering. Department of Production, University of Vaasa, 65200, Vaasa, Finland.
    Sakao, Tomohiko
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering.
    Huisingh, Donald
    Institute for a Secure and Sustainable Environment, University of Tennessee, Knoxville, TN, USA.
    Almeida, Cecilia M. V. B.
    Paulista University, São Paulo, Brazil.
    A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions2019In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 210, p. 1343-1365Article, review/survey (Refereed)
    Abstract [en]

    Smart manufacturing has received increased attention from academia and industry in recent years, as it provides competitive advantage for manufacturing companies making industry more efficient and sustainable. As one of the most important technologies for smart manufacturing, big data analytics can uncover hidden knowledge and other useful information like relations between lifecycle decisions and process parameters helping industrial leaders to make more-informed business decisions in complex management environments. However, according to the literature, big data analytics and smart manufacturing were individually researched in academia and industry. To provide theoretical foundations for the research community to further develop scientific insights in applying big data analytics to smart manufacturing, it is necessary to summarize the existing research progress and weakness. In this paper, through combining the key technologies of smart manufacturing and the idea of ubiquitous servitization in the whole lifecycle, the term of sustainable smart manufacturing was coined. A comprehensive overview of big data in smart manufacturing was conducted, and a conceptual framework was proposed from the perspective of product lifecycle. The proposed framework allows analyzing potential applications and key advantages, and the discussion of current challenges and future research directions provides valuable insights for academia and industry. (C) 2018 Elsevier Ltd. All rights reserved.

  • 34.
    Sakao, Tomohiko
    et al.
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering.
    Liu, Yang
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering.
    Gustafsson, Rolf
    Maxiom AB, Göteborg, Sweden.
    Thörnblad, Gabriel
    Maxiom AB, Göteborg, Sweden.
    A Method for Lifecycle Design of Product/Service Systems Using PLM Software2017In: Product Lifecycle Management and the Industry of the Future / [ed] Ríos, José; Bernard, Alain; Bouras, Abdelaziz; Foufou, Sebti, Springer, 2017, p. 710-718Conference paper (Refereed)
    Abstract [en]

    Environmental sustainability and resource scarcities are urgent issues, and innovative ways of providing products and services are needed. In light of a circular economy, manufacturers have yet to learn and implement innovative ways of design covering the entire product lifecycle and incorporating sustainability and resource issues based on system perspectives. This paper aims at proposing an innovative and practical method to support manufacturers in the design of a product/service system (PSS) for resource efficiency and sustainability. The intention is that the method be implemented as an add-on feature for commercial PLM (product lifecycle management) software, with a lifecycle focus, including calculation of lifecycle cost (LCC).

  • 35.
    Sakao, Tomohiko
    et al.
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering.
    Liu, Yang
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering.
    Neramballi, Abhijna
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering.
    Enhancing PSS design through big data, IoT and bigdata analytics2019In: Proceedings of the Spring Servitization Conference: Delivering Services Growth in the Digital Era / [ed] Bigdeli, A., Kowalkowski, C., Kindström, D., Baines, T., United Kingdom, 2019, p. 197-205Conference paper (Refereed)
    Abstract [en]

    Purpose: PSS (Product/Service System) is a specific type of offering in servitization and requires a special way of designing to exploit its full potential. Today, thanks to increasing interest in big data, IoT (Internet of Things) and big data analytics (BDA), we are seeing an enormous opportunity to further advance the practice of PSS design and delivery. Now, questions arise as to how these technologies could improve PSS design and delivery: does such a PSS design process already exist that can accommodate various types of incoming big data through IoT? Is there a need to amend existing PSS design processes to exploit the obtained data? At present, no clear answer to these questions can be found in the literature. This conference paper aims to pave the way forward for research in PSS design and show opportunities to improve design and operational practices using big data, IoT and BDA.

    Design/Methodology/Approach: The research method adopted is a literature review and analysis. First, PSS design methods and procedures are reviewed in a systematic manner and consolidated as a general PSS design procedure. Second, opportunities for using big data, IoT and BDA to improve PSS design and delivery are identified in the general description. Third, issues for further research and development are presented.

    Findings: The review clarifies what, in essence, the literature scientifically informs us about PSS design methods. The common denominator for PSS design methods could be composed of ten steps. Eight out of the ten steps were found to be relevant with use of big data, IoT and BDA. The relevance was also described as pros and cons in terms of quality, cost, and time (delivery).

    Originality/Value: First, the paper is one of the earliest high-level reviews of PSS design from the viewpoint of big data, IoT and BDA. Second, it gives a perspective of various possible relations between PSS design and big data, IoT and BDA. Third, the paper presents further scientific and practical research opportunities in this area, building upon insights available in the state of the art of PSS design.

  • 36.
    Si, Shubin
    et al.
    Department of Industrial Engineering, School of Mechatronics, Northwestern Polytechnical University, Xian, China.
    Liu, Xiaopei
    Department of Industrial Engineering, School of Mechatronics, Northwestern Polytechnical University, Xian, China.
    Liu, Yang
    Department of Production, University of Vaasa, Vaasa, Finland.
    Takala, J.
    Department of Production, University of Vaasa, Vaasa, Finland.
    Operational competitiveness of Chinese aeronautics and astronautics manufacturing companies in global context2009In: 2009 IEEE/INFORMS International Conference on Service Operations, Logistics and Informatics, Institute of Electrical and Electronics Engineers (IEEE), 2009, p. 556-560Conference paper (Refereed)
    Abstract [en]

    The purpose of this paper is to study the operational competitiveness of Chinese aeronautics and astronautics manufacturing companies (CAAMC) by analyzing the case CAAMC in a global manufacturing strategies (GMSS) database. Analytical models are used to analyze the operational competitiveness of the case CAAMC based on the weights of the multi-criteria manufacturing strategies. The results show quality value of the case Chinese astronautics manufacturing company (CASMC) is higher than the case Chinese aeronautics manufacturing company’s, but customer focus value of the case Chinese aeronautics manufacturing company (CAEMC) is higher than the case CASMC’s. The ranking of operational competitiveness implies CASMC has stronger competitiveness than CAEMC in prospector group.

  • 37.
    Si, Shubin
    et al.
    Department of Industrial Engineering, School of Mechatronics, Northwestern Polytechnical University, Xian, China.
    Liu, Yang
    Department of Production, University of Vaasa, Vaasa, Finland.
    Takala, Josu
    Department of Production, University of Vaasa, Vaasa, Finland.
    Sun, Shudong
    Department of Industrial Engineering, School of Mechatronics, Northwestern Polytechnical University, Xian, China.
    Benchmarking and developing the operational competitiveness of Chinese state-owned manufacturing enterprises in a global context2010In: International Journal of Innovation and Learning, ISSN 1471-8197, E-ISSN 1741-8089, Vol. 7, no 2, p. 202-222Article in journal (Refereed)
    Abstract [en]

    The purpose of this paper is to study the operational competitiveness of Chinese State-Owned Manufacturing Enterprises (CSOMEs) by analysing the case CSOME and comparing it with other global manufacturing companies in a Global Manufacturing Strategies (GMSS) database for developing innovation and learning. Analytical models are used to analyse the operational competitiveness of the case CSOME and its subsidiaries based on the weights of the multicriteria manufacturing strategies. The operational competitiveness development of its subsidiaries are applied to predict the future operational competitiveness of the case CSOME in a global context. The results show that quality is the most important competitive priority of the case CSOME and the case CSOME have some advantages when competing in a prospector group. The ranking and stability of the operational competitiveness of the case CSOME imply that: (1) the top CSOMEs have a strong operational competitiveness in the global context; however, they have some gaps compared to the top manufacturing enterprises in the world and (2) it will take a long time for the top CSOMEs to improve their operational competitiveness because of a huge organisational structure. Copyright © 2010 Inderscience Enterprises Ltd.

  • 38.
    Si, Shubin
    et al.
    Department of Industrial Engineering, School of Mechatronics, Northwestern Polytechnical University, Xian, China.
    Sun, Shudong
    Department of Industrial Engineering, School of Mechatronics, Northwestern Polytechnical University, Xian, China.
    Liu, Yang
    Department of Production, University of Vaasa, Vaasa, Finland.
    Takala, Josu
    Department of Production, University of Vaasa, Vaasa, Finland.
    Operational Competitiveness of Chinese State-Owned Manufacturing Enterprise in Global Context2008In: 2008 International Seminar on Business and Information Management, 2008, Vol. 2, p. 397-400Conference paper (Refereed)
    Abstract [en]

    The purpose of this paper is to study the operational competitiveness of Chinese state-owned manufacturing enterprises (CSOME) by analyzing the case CSOME and comparing with other global manufacturing companies in a global manufacturing strategies (GMSS) database. Analytical models are used to analyze the operational competitiveness of the case CSOME based on the weights of the multi-criteria manufacturing strategies. The results show quality is most important competitive priority of the case CSOME and the value of flexibility is very low. The ranking of operational competitiveness implies the case CSOME have some advantages competing in prospector group, however it have some gap comparing with top manufacturing companies of the world.

  • 39.
    Si, Shubin
    et al.
    Department of Industrial Engineering, Northwestern Polytechnical University, Xian, China.
    Takala, Josu
    Department of Production, University of Vaasa, Vaasa, Finland.
    Liu, Yang
    Department of Production, University of Vaasa, Vaasa, Finland.
    Competitiveness of Chinese high-tech manufacturing companies in global context2009In: Industrial management + data systems, ISSN 0263-5577, E-ISSN 1758-5783, Vol. 109, no 3, p. 404-424Article in journal (Refereed)
    Abstract [en]

    Purpose – The purpose of this paper is to study the operational competitiveness and identify the development route of Chinese high‐tech manufacturing companies by comparing with other similar international manufacturing companies of global manufacturing strategies database.

    Design/methodology/approach – The preliminary analytical models for competitiveness analysis are used to analyze the operational competitiveness strategies in three different types of Chinese high‐tech manufacturing companies based on the weights of the multi‐criteria manufacturing strategies, which are calculated using analytic hierarchy process method. Benchmarking between case companies and leading companies of prospector, analyzer and defender groups is applied to evaluate the manufacturing strategies further.

    Findings – As a result of the case studies, it is possible to understand operational competitiveness manufacturing strategies for the case companies, to show one development route for Chinese high‐tech manufacturing companies to be competitive in their markets.

    Practical implications – Chinese high‐tech manufacturing companies have their own operational strategies in different development phase. The different weights of important factors such as quality, cost, time and flexibility make the case companies to have some advantages in prospector, analyzer and defender. The preliminary analytical models are effective for Chinese high‐tech manufacturing companies to calculate their operational competitiveness under the influence of Chinese culture and macro‐control.

    Originality/value – Benchmarking of operational competitiveness is presented to evaluate the manufacturing strategies in this paper. One development route of Chinese high‐tech manufacturing companies, which is under the influence of Chinese culture and macro‐control, is promoted.

  • 40.
    Si, Shubin
    et al.
    Department of Industrial Engineering, Northwestern Polytechnical University, Xian, China.
    Takala, Josu
    Department of Production, University of Vaasa, Vaasa, Finland.
    Liu, Yang
    Department of Production, University of Vaasa, Vaasa, Finland.
    Toshev, Rayko
    Department of Production, University of Vaasa, Vaasa, Finland.
    Tang, Zhi
    Department of Production, University of Vaasa, Vaasa, Finland.
    Operational competitiveness research of chinese high-tech international manufacturing company in global context2008In: 2008 IEEE International Conference on Industrial Engineering and Engineering Management, Institute of Electrical and Electronics Engineers (IEEE), 2008, p. 1915-1919Conference paper (Refereed)
    Abstract [en]

    This paper presents a thorough case study and analysis aiming at studying operational competitiveness of Chinese high-tech international manufacturing company (CHTIMC). In this paper, some models are applied: (1)analytic hierarchy process (AHP) method is used to analyze questionnaires, which are got from the case CHTIMC, of multi-focused manufacturing strategies; (2)the analytical models, which can calculate the ranking of companyᅵᅵs operational competitiveness in prospector, analyzer and defender groups, are used to find more competitive advantages of CHTIMC;(3) benchmarking between CHTIMC and top companies of prospector and defender is applied to determine the operational competitiveness of CHTIMC further. The analysis results show CHTIMC is more dominant in prospector group; and prove the analytical models of operational competitiveness are effective.

  • 41.
    Sun, Huibin
    et al.
    Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Xi’an, PR China.
    Liu, Yang
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering. Department of Production, University of Vaasa, Vaasa, Finland.
    Sakao, Tomohiko
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering.
    Wang, Zhan
    Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Xi’an, PR China.
    Configuring use-oriented aero-engine overhaul service with multi-objective optimization for environmental sustainability2017In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 162, p. S94-S106Article in journal (Refereed)
    Abstract [en]

    As a typical sustainable product-service system, the aero-engine overhaul service aims to recover the functionality to fulfil certain flight hours and thrust requirements. How to configure the overhaul service with various sub-services is a key issue in industry. In this paper, a use-oriented aero-engine overhaul service configuration approach is proposed with two methods: overhaul service configuration and part repair service configuration. The overhaul service configuration method decomposes the overhaul service into various sub-services and creates a hierarchical service tree model, taking the cost and energy consumption into consideration. Based on the sub-service filtering and selection rule, the bill of exchange service comes with the bill of discard service. The part repair service configuration method matches each part repair procedure service with a proper service provider. Some non-dominated bills of repair services are obtained by minimizing the repair service cost, finishing time deviation and energy consumption. Considering the multi-objective character of the overhaul service configuration problem, these two methods result in some Pareto solutions to fulfil the service requirements. Through implementing the approach as a prototype, a case study is shown to illustrate the use-oriented aero-engine overhaul service configuration approach and verify its feasibility. A bridge between the flight hours and thrust requirements and the overhaul service configuration results is built when the cost and energy consumption are minimized. The study contributes to the shift of aero-engine overhaul services from the add-on services to sustainable use-oriented product-service systems.

  • 42.
    Sun, Huibin
    et al.
    Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Xian, China.
    Wang, Zhan
    Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Xian, China.
    Zhang, Yingfeng
    Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Xian, China.
    Chang, Zhiyong
    Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Xian, China.
    Mo, Rong
    Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Xian, China.
    Liu, Yang
    Department of Production, University of Vaasa, Vaasa, Finland.
    Evaluation method of product–service performance2012In: International journal of computer integrated manufacturing (Print), ISSN 0951-192X, E-ISSN 1362-3052, Vol. 25, no 2, p. 150-157Article in journal (Refereed)
    Abstract [en]

    In order to analyse product–service performance (PSP) during product–service systems’ (PSSs) running time, a PSP evaluation method is proposed. Interrelationship between a PSS’s provider and accepter is defined as product–service relationship (PSR). Concepts of product–service network and product–service chain are put forward to describe interrelationship among PSRs from different perspectives. The concept of PSP is proposed to evaluate interrelationship among PSR. Detailed evaluation indexes are designed to measure the five factors of PSP, including time, quality, cost, stability and reliability. A case study is provided to test the validity and efficiency of the evaluation model of PSP. The analysis results show that the evaluation model can make good efforts in benefiting product–service platform’s running, monitoring and optimising.

  • 43.
    Takala, Josu
    et al.
    Department of Production, University of Vaasa, Vaasa, Finland.
    Hirvelᅵ, Jarkko
    Department of Production, University of Vaasa, Vaasa, Finland.
    Liu, Yang
    Department of Production, University of Vaasa, Vaasa, Finland.
    Malindžák, Dušan
    Technical University of Kosice, Kosice, Slovakia.
    Global manufacturing strategies require “dynamic engineers”?: Case study in Finnish industries2007In: Industrial management + data systems, ISSN 0263-5577, E-ISSN 1758-5783, Vol. 107, no 3, p. 326-344Article in journal (Refereed)
    Abstract [en]

    Purpose – The purpose of this paper is to study multifocused global manufacturing strategies under the influence of “China effect” taking the dynamic, complex and situational business strategies into account.

    Design/methodology/approach – This study compares the competitive priorities of manufacturing strategies in four different types of companies with some international comparisons and one longitudinal case study for benchmarking. The analytical hierarchy process method also made it possible to compare inconsistencies in the answers between the companies.

    Findings – As a result of these case studies, it is possible to understand the competitive priorities of manufacturing strategies for the case companies, to show the other companies the route for developments.

    Practical implications – All four types of companies should grow internationally and utilize the developing countries as a means of lowering costs. Each type of company has its own special strategies to suit their markets. Companies in Western countries should utilize multifocused manufacturing strategies based on their business strategy in a holistic way, e.g. through responsiveness, agility and leanness concept, and to specialize through quality, e.g. by differentiating product and service technology for global high dynamic and complex business. Global sourcing in purchasing shall also be more and more used effectively for cost and productivity competitiveness.

    Originality/value – The development steps, from technology specialist to problem solver, are proposed in this paper. Human resources have to be trained to be more “dynamic engineers,” all the time more also in industrial engineering and management.

  • 44.
    Takala, Josu
    et al.
    Department of Production, University of Vaasa, Vaasa, Finland.
    Liu, Yang
    Department of Production, University of Vaasa, Vaasa, Finland.
    Feng, Bin
    Department of Information Technology, Vaasa University of Applied Sciences, Vaasa, Finland.
    Yang, Wenshan
    Department of Production, University of Vaasa, Vaasa, Finland.
    Analytical Evaluation of Sustainable Competitive Advantage2013In: Elsevier IFAC Publications / IFAC Proceedings series, ISSN 1474-6670, Vol. 46, no 9, p. 1240-1243Article in journal (Refereed)
    Abstract [en]

    This paper introduces a novel idea to model and evaluate the level of sustainable competitive advantage (SCA) in a company’s operations, basing on the development directions of the manufacturing strategy and the effectiveness/sufficiency of its supporting resource allocation. The SCA evaluation model explores whether the real resource allocation supports the desired operations strategy and provide a guidance to help decision makers to find out the sustainability of the company’s current operational competitiveness. The model has been undergoing weak market tests in a multinational case company and the analysis results are promising according to the feedback opinions.

  • 45.
    Vornanen, Vesa-Jukka
    et al.
    University of VaasaVaasa, Finland.
    Sivula, Ari
    University of VaasaVaasa, Finland.
    Liu, Yang
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering.
    Takala, Josu
    University of VaasaVaasa, Finland.
    Mutual Trust: Joint Performance of an Operations Strategy Implementation—Securing the Value Chain by Preparedness2018In: Managing Public Trust / [ed] Kożuch, Barbara; Magala, Sławomir J.; Paliszkiewicz, Joanna, Cham: Palgrave Macmillan, 2018, p. 175-190Chapter in book (Refereed)
    Abstract [en]

    This chapter discusses mutual trust in the daily construction of public safety. The chapter is based on the corresponding author’s article-based dissertation, with work connecting joint research articles to his action research. In doing so, this chapter summarizes the implementation of the strategy and how it has been studied. The research is limited to a municipal facilities’ service unit that aims to secure a common value chain for all situations. To do this, joint performance is required. The study is based on action research, with the use of mixed methods. The study utilized the resource-based view theory and empirically employs the balanced critical factor index method for managing the unit.

  • 46.
    Wang, Gaihua
    et al.
    Hubei Collaborative Innovation Centre for High-efficiency Utilization of Solar Energy, Hubei University of Technology, China / School of Electrical and Electronic Engineering, Hubei University of Technology, China.
    Liu, Yang
    School of Electrical and Electronic Engineering, Hubei University of Technology, China / Faculty of Technology, University of Vaasa, Vaasa, Finland.
    Xiong, Caiquan
    School of Computer Science, Hubei University of Technology, China.
    An Optimization Clustering Algorithm Based on Texture Feature Fusion for Color Image Segmentation2015In: Algorithms, ISSN 1999-4893, E-ISSN 1999-4893, Vol. 8, no 2, p. 234-247Article in journal (Refereed)
    Abstract [en]

    We introduce a multi-feature optimization clustering algorithm for color image segmentation. The local binary pattern, the mean of the min-max difference, and the color components are combined as feature vectors to describe the magnitude change of grey value and the contrastive information of neighbor pixels. In clustering stage, it gets the initial clustering center and avoids getting into local optimization by adding mutation operator of genetic algorithm to particle swarm optimization. Compared with well-known methods, the proposed method has an overall better segmentation performance and can segment image more accurately by evaluating the ratio of misclassification.

  • 47.
    Wang, Gaihua
    et al.
    Hubei Univ Technol, Peoples R China.
    Liu, Yang
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering. Univ Vaasa, Finland.
    Xiong, Wei
    Hubei Univ Technol, Peoples R China.
    Li, Yan
    Hubei Univ Technol, Peoples R China; Univ Southern Queensland, Australia.
    An improved non-local means filter for color image denoising2018In: Optik (Stuttgart), ISSN 0030-4026, E-ISSN 1618-1336, Vol. 173, p. 157-173Article in journal (Refereed)
    Abstract [en]

    Non-local means filter is a special case of non-linear filter. It performs well for filtering Gaussian noise while preserving edges and details of the original images. In this paper, we propose an improved filter for color image denoising based on combining the advantages of non-local means filter and bilateral filter. To compare the similarity of patches, a new weight value is computed by adding texture information into weights. The experimental results of color image filtering show that the proposed method has a better performance for reducing Gaussian noise and mixture noise.

  • 48.
    Wang, Gaihua
    et al.
    School of Electrical and Electronic Engineering, Hubei University of Technology, China.
    Liu, Yang
    School of Electrical and Electronic Engineering, Hubei University of Technology, China / Faculty of Technology, University of Vaasa, Vaasa, Finland.
    Zhao, Tongzhou
    Hubei Province Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, China.
    A quaternion-based switching filter for colour image denoising2014In: Signal Processing, ISSN 0165-1684, E-ISSN 1872-7557, Vol. 102, p. 216-225Article in journal (Refereed)
    Abstract [en]

    An improved quaternion switching filter for colour image denoising is presented. It proposes a RGB colour image as a pure quaternion form and measures differences between two colour pixels with the quaternion-based distance. Further, in noise-detection, a two-stage detection method is proposed to determine whether the current pixel is noise or not. The noisy pixels are replaced by the vector median filter (VMF) output and the noise-free ones are unchanged. Finally, we combine the advantages of quaternion-based switching filter and non-local means filter to remove mixture noise. By comparing the performance and computing time processing different images, the proposed method has superior performance which not only provides the best noise suppression results but also yields better image quality compared to other widely used filters.

  • 49.
    Wang, Jin
    et al.
    Northwestern Polytech Univ, Peoples R China; Xian Aeronaut Univ, Peoples R China.
    Zhang, Yingfeng
    Northwestern Polytech Univ, Peoples R China.
    Liu, Yang
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering.
    Wu, Naiqi
    Macau Univ Sci and Technol, Peoples R China; Guangdong Univ Technol, Peoples R China.
    Multiagent and Bargaining-Game-Based Real-Time Scheduling for Internet of Things-Enabled Flexible Job Shop2019In: IEEE Internet of Things Journal, ISSN 2327-4662, Vol. 6, no 2, p. 2518-2531Article in journal (Refereed)
    Abstract [en]

    With the rapid advancement and widespread applications of information technology in the manufacturing shop floor, a huge amount of real-time data is generated, providing a good opportunity to effectively respond to unpredictable exceptions so that the productivity can be improved. Thus, how to schedule the manufacturing shop floor for achieving such a goal is very challenging. This paper addresses this issue and a new multiagent-based real-time scheduling architecture is proposed for an Internet of Things-enabled flexible job shop. Differing from traditional dynamic scheduling strategies, the proposed strategy optimally assigns tasks to machines according to their real-time status. A bargaining-game-based negotiation mechanism is developed to coordinate the agents so that the problem can be efficiently solved. To demonstrate the feasibility and effectiveness of the proposed architecture and scheduling method, a proof-of-concept prototype system is implemented with Java agent development framework platform. A case study is used to test the performance and effectiveness of the proposed method. Through simulation and comparison, it is shown that the proposed method outperforms the traditional dynamic scheduling strategies in terms of makespan, critical machine workload, and total energy consumption.

  • 50.
    Xie, Kefan
    et al.
    Management School, Wuhan University of Technology, Wuhan, China / Institute of Systems Science and Engineering, Wuhan University of Technology, Wuhan, China.
    Chen, Gang
    Management School, Wuhan University of Technology, Wuhan, China / Institute of Systems Science and Engineering, Wuhan University of Technology, Wuhan, China.
    Wu, Qian
    Management School, Wuhan University of Technology, Wuhan, China / Institute of Systems Science and Engineering, Wuhan University of Technology, Wuhan, China.
    Liu, Yang
    Department of Production, University of Vaasa, Vaasa, Finland.
    Wang, Pan
    Institute of Systems Science and Engineering, Wuhan University of Technology, Wuhan, China / School of Automation, Wuhan University of Technology, Wuhan, China.
    Research on the group decision-making about emergency event based on network technology2011In: Journal of Special Topics in Information Technology and Management, ISSN 1385-951X, E-ISSN 1573-7667, Vol. 12, no 2, p. 137-147Article in journal (Refereed)
    Abstract [en]

    In order to improve decision-making efficiency about emergency event, this paper proposes a novel concept, i.e., Agile-Delphi Method, which is an integration of agile decision and Delphi Method implicating that the decision-makers instantly deliver, respond, treat, and utilize information via Delphi process while conducting group decision-making about emergency event. The paper details the mechanism of group decision-making about emergency event based on network technology and Agile-Delphi Method. Finally, the paper conducts an empiric analysis taking the “111 event”, i.e., the liquid ammonia spill event happened on November 1, 2006 in a phosphorus chemical company in China, as an example.

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