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Design of a Global Decision Support System for a manufacturing SME: Towards participating in Collaborative Manufacturing

Author

Listed:
  • Lin, Hao W.
  • Nagalingam, Sev V.
  • Kuik, Swee S.
  • Murata, Tomohiro

Abstract

This paper discusses the conceptual design of a Global Decision Support System for a manufacturing Small or Medium Enterprise (SM/E), which actively participates in Collaborative Manufacturing. In order to implement the proposed concept, a Web Services based system architecture is proposed to offer maximum interoperability between all the distributed participants of a Collaborative Manufacturing Network (CMN) and their management information systems. Furthermore, this conceptual design utilises a Collaborative decision-support model that effectively interacts with the decision-makers and the management information systems/tools exist in the network, and provides appropriate support to all necessary decision-making steps towards the attainment of the network's strategic goals, while making full benefits of the network resources.

Suggested Citation

  • Lin, Hao W. & Nagalingam, Sev V. & Kuik, Swee S. & Murata, Tomohiro, 2012. "Design of a Global Decision Support System for a manufacturing SME: Towards participating in Collaborative Manufacturing," International Journal of Production Economics, Elsevier, vol. 136(1), pages 1-12.
    • Handle: RePEc:eee:proeco:v:136:y:2012:i:1:p:1-12
    DOI: 10.1016/j.ijpe.2011.07.001
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    References listed on IDEAS

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    Cited by:

    1. Shivam Gupta & Sachin Modgil & Samadrita Bhattacharyya & Indranil Bose, 2022. "Artificial intelligence for decision support systems in the field of operations research: review and future scope of research," Annals of Operations Research, Springer, vol. 308(1), pages 215-274, January.
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    3. Daozhi Zhao & Jiaqin Hao & Cejun Cao & Hongshuai Han, 2019. "Evolutionary Game Analysis of Three-Player for Low-Carbon Production Capacity Sharing," Sustainability, MDPI, vol. 11(11), pages 1-20, May.
    4. Frank, Alejandro Germán & Dalenogare, Lucas Santos & Ayala, Néstor Fabián, 2019. "Industry 4.0 technologies: Implementation patterns in manufacturing companies," International Journal of Production Economics, Elsevier, vol. 210(C), pages 15-26.

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