Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/78569
Authors: 
Ghane, Mahdi
Tarokh, Mohammad
Year of Publication: 
2012
Citation: 
[Journal:] Journal of Industrial Engineering International [ISSN:] 2251-712X [Publisher:] SpringerOpen [Place:] Heidelberg [Volume:] 8 [Year:] 2012 [Pages:] 1-8
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.
Subjects: 
supply chain
fuzzy logic controller
multi-objective optimization
Persistent Identifier of the first edition: 
Creative Commons License: 
http://creativecommons.org/licenses/by/2.0/
Document Type: 
Article

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