Using Fuzzy Goal Programming Technique to Obtain the Optimum Production of Vehicle Spare Parts, a Case Study

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 α- cut. The optimum quantities of heat exchangers’ production are found to be biased to the lower limit of production.