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
Abstract
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.
Ghane, M., Jafar Tarokh, M. (2012). Multi-objective design of fuzzy logic controller in supply chain. Journal of Industrial Engineering, International, 8(1), -.
MLA
Mahdi Ghane; Mohammad Jafar Tarokh Jafar Tarokh. "Multi-objective design of fuzzy logic controller in supply chain". Journal of Industrial Engineering, International, 8, 1, 2012, -.
HARVARD
Ghane, M., Jafar Tarokh, M. (2012). 'Multi-objective design of fuzzy logic controller in supply chain', Journal of Industrial Engineering, International, 8(1), pp. -.
VANCOUVER
Ghane, M., Jafar Tarokh, M. Multi-objective design of fuzzy logic controller in supply chain. Journal of Industrial Engineering, International, 2012; 8(1): -.
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