Introducing a mixed-integer non-linear fuzzy model for risk management in designing supply chain networks

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• 作者：Babak H. Tabrizi ^{babaktabrizi@ut.ac.ir} ; Jafar Razmi ; ^{jrazmi@ut.ac.ir}
• 关键词：Supply chain management ; Network design ; Uncertainty ; Fuzzy logic ; Benders decomposition
• 刊名：Journal of Manufacturing Systems
• 出版年：2013
• 出版时间：April, 2013
• 年：2013
• 卷：32
• 期：2
• 页码：295-307
• 全文大小：608 K

文摘

Nowadays, supply chains play an inevitable role in prompt handling of varying customers?¡¥ needs. Administration of a successful supply chain depends on how efficiently the network design is accomplished. Therefore, a supply chain network design problem is considered in this paper. The network addresses an uncertain environment threatened by different risk sources in order to captivate the real world conditions. A mixed-integer non-linear mathematical model is developed in which the uncertainties are represented by the fuzzy set theory. Benders decomposition is then applied to solve the proposed problem; consequently, the model is transformed into a mixed-integer one. Moreover, an interactive resolution method is applied to provide the decision maker with alternative decision plans in regard to different satisfaction degrees. Finally, the accuracy of the proposed model is checked by sensitivity analysis test and its performance is considered by different numerical examples.