A fuzzy cost function optimization in product mix selection problem
The modern trend in industrial application problem deserves modeling of all relevant vague or fuzzy information involved in a real decision making problem. In this paper the usefulness of the proposed S-curve membership function is established using a real life industrial production planning of a ch...
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| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2007
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| Subjects: | |
| Online Access: | http://eprints.utp.edu.my/392/1/paper.pdf http://www.scopus.com/inward/record.url?eid=2-s2.0-36849024312&partnerID=40&md5=0a2b6db377f552ef492fdf87e2ca378e http://eprints.utp.edu.my/392/ |
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| Summary: | The modern trend in industrial application problem deserves modeling of all relevant vague or fuzzy information involved in a real decision making problem. In this paper the usefulness of the proposed S-curve membership function is established using a real life industrial production planning of a chocolate manufacturing unit. The unit produces 8 products using 8 raw materials, mixed in various proportions by 9 different processes under 29 constraints. A solution to this problem establishes the usefulness of the suggested membership function for decision making in industrial production planning. The objective of this paper is to find the optimal cost to produce 8 products using modified S-curve membership function as a methodology. The fuzzy linear programming approach is used to solve this problem. The optimal cost function is obtained respect to two major factors of degree of satisfaction and vagueness. Copyright - World Automation Congress (WAC) 2006.
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