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Applying Multiattribute-Based Group Decision Making Techniques in Complex Equipment Selection Tasks

Author

Listed:
  • Ljubisa Vlacic

    (Griffith University)

  • Michio Amagasa

    (Daito Bunka University)

  • Akira Ishikawa

    (Aoyana Gakuin University)

  • Theodore Williams

    (Purdue University)

  • Giichi Tomizawa

    (Science University of Tokyo)

Abstract

A practicing industrial engineer, even an experienced decision maker, needs help in the sense that there is a necessity to use more logical or analytical decision support tools, especially when dealing with control and instrumentation projects which are often worth millions of dollars. In this article we propose an algorithm which can support the process of group decision making relating to industrial automation, especially involving the selection of control and instrumentation equipment. The aim of this article is to look only at the algorithm's application and how it is applied. To this end, two test cases are used as examples: (1) selecting a local area network for installation in an academic environment; and (2) selecting an integrated control system for a real-world pulp and paper mill. Obtained results show that the algorithm leads to a satisfactory solution. A software form of the algorithm is being programmed for use as a decision support tool.

Suggested Citation

  • Ljubisa Vlacic & Michio Amagasa & Akira Ishikawa & Theodore Williams & Giichi Tomizawa, 1997. "Applying Multiattribute-Based Group Decision Making Techniques in Complex Equipment Selection Tasks," Group Decision and Negotiation, Springer, vol. 6(6), pages 529-556, December.
    • Handle: RePEc:spr:grdene:v:6:y:1997:i:6:d:10.1023_a:1008688309852
    DOI: 10.1023/A:1008688309852
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    Cited by:

    1. S. Meysam Mousavi & Fariborz Jolai & Reza Tavakkoli-Moghaddam, 2013. "A Fuzzy Stochastic Multi-Attribute Group Decision-Making Approach for Selection Problems," Group Decision and Negotiation, Springer, vol. 22(2), pages 207-233, March.

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