Multi-objective design of fuzzy logic controller in supply chain

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.