Applying Multiattribute-Based Group Decision Making Techniques in Complex Equipment Selection Tasks |
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| Authors: | Ljubisa Vlacic Michio Amagasa Akira Ishikawa Theodore Williams Giichi Tomizawa |
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| Affiliation: | (1) Faculty of Science and Technology, Griffith University, Nathan, Queensland, 4111, Australia;(2) Department of Business Administration, Faculty of Economics, Daito Bunka University, Tokyo, 175, Japan;(3) School of International Politics, Economics and Business, Aoyana Gakuin University, Tokyo, 150, Japan;(4) Purdue Laboratory for Applied Industrial Control, Purdue University, West Lafayette, IN 47907, USA;(5) Faculty of Science and Technology, Science University of Tokyo, Chiba, 278, Japan |
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| 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. |
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| Keywords: | group decision making multicriteria decision making fuzzy structural modelling decision support systems |
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