Multi-objective design of fuzzy logic controller in supply chain
1 Mechatronics Department, K.N.Toosi University of Technology, Tehran, 19697 64499, Iran
2 Industrial Engineering Department, K.N.Toosi University of Technology, Tehran, 19697 64499, Iran
Journal of Industrial Engineering International 2012, 8:10 doi:10.1186/2251-712X-8-10Published: 7 August 2012
Unlike commonly used methods, in this paper, we have introduced a new approach for designing fuzzy controllers. In this approach, we have simultaneously optimized both objective functions of a supply chain over a two-dimensional space. Then, we have obtained a spectrum of optimized points, each of which represents a set of optimal parameters which can be chosen by the manager according to the importance of objective functions. Our used supply chain model is a member of inventory and order-based production control system family, a generalization of the periodic review which is termed ‘Order-Up-To policy.’ An auto rule maker, based on non-dominated sorting genetic algorithm-II, has been applied to the experimental initial fuzzy rules. According to performance measurement, our results indicate the efficiency of the proposed approach.