Multi-objective design of fuzzy logic controller in supply chain

Journal of Industrial Engineering International

دوره 8، شماره 1، فروردین 2012   

نویسندگان

Mahdi Ghane¹؛ Mohammad Jafar Tarokh Jafar Tarokh^{* 2}

¹Mechatronics Department, K.N.Toosi University of Technology, Tehran, 19697 64499, Iran

²Industrial Engineering Department, K.N.Toosi University of Technology, Tehran 19697 64499, Iran

چکیده

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.

کلیدواژه‌ها

Supply chain؛ Fuzzy logic controller؛ Multi-objective optimization