Fuzzy technique application in production planning at PT. XYZ

Nurhasanah, Nunung and Marimin (2008) Fuzzy technique application in production planning at PT. XYZ. Proceeding of The 2nd International Seminar on Industrial Engineering and Management (ISIEM), 2. pp. 41-48. ISSN 1978-774X

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Abstract

Decision making is the important matter which often faced to a plant manager. With some alternatifs available, the manager should be able to create priority scale to which alternatif should be taken according to company development concept. PT. XYZ is also experiencing this matter as a small to medium industry which produces soybean ketchup. To deal with the competition, company should have a production planning to survive in a competition. Production planning that will be done is according to two alternatives: Production Capacity Planning and Revise the Facility Layout. And to decide which plan would be taken, this paper uses Non-Numeric Expert Multi-Criteria Decision Making approach. Asking for two experts judgment from this company, and one expert is a senior lecturer at Industrial Engineering Department of Bina Nusantara University. To execute the alternatives, production capacity planning will use the fuzzy linear programming, and to revise the facility layout is using fuzzy facility layout. Software LINDO is use to find the optimal solution from the usual linear programming and the fuzzy linear programming. While the fuzzy set is use to solve the fuzzy facility layout problem. Trapezoidal fuzzy number (TrFN) is used for expressing the membership function of fuzzyfication process, and geometric mean is used for defuzzyfication process. Fuzzy value (χ) gained from LINDO is 0,89. According to the result of Fuzzy facility layout, there are two alternatives of facility layout; first is to move the facility without adding with total cost Rp.919.590,- and second is to move and add the facilities with total cost Rp.1.033.631,-. For further research, it’s possible to design a warehouse to separate the soyabean warehouse with supporting goods.

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