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This paper studies the vehicle spare parts production problem to obtain the optimum production rate under fuzzy capital budget. We applied the integer goal programming technique to determine the best compromise solution. There are two goals in our case study. These goals are minimization of the uncertain capital budget and maximization of the uncertain expected profits. The case study is a factory which produces different types of vehicle heat exchangers. The results indicate that the problem solution depends on the membership function and the αcut. The optimum quantities of heat exchangers’ production are found to be biased to the lower limit of production.
Jasem Alrajhi. 2016. \u201cUsing Fuzzy Goal Programming Technique to Obtain the Optimum Production of Vehicle Spare Parts, a Case Study\u201d. Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 15 (GJRE Volume 15 Issue J6): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
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Total Score: 136
Country: United States
Subject: Global Journal of Research in Engineering - J: General Engineering
Authors: Hilal A. Abdelwali, Elsayed E.M. Ellaimony, Yousef M. Alhouli, Jasem M.S. Alrajhi, Mohsen S. Alardhi, Ahmed E. Murad (PhD/Dr. count: 0)
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Publish Date: 2016 01, Sun
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This paper studies the vehicle spare parts production problem to obtain the optimum production rate under fuzzy capital budget. We applied the integer goal programming technique to determine the best compromise solution. There are two goals in our case study. These goals are minimization of the uncertain capital budget and maximization of the uncertain expected profits. The case study is a factory which produces different types of vehicle heat exchangers. The results indicate that the problem solution depends on the membership function and the αcut. The optimum quantities of heat exchangers’ production are found to be biased to the lower limit of production.
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