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A Closed-loop Supply Chain Network Equilibrium Model with Multi-criteria and Stochastic Demand

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Proceedings of the Seventh International Conference on Management Science and Engineering Management

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 242))

Abstract

Consider a multi-commodity flow closed-loop supply chain network consisting of many manufacturers, retailers, recovery enterprises, demand and recovery markets, respectively manufacturing, selling, consuming same kinds of new products, and recycling and supplying the used products. Manufacturer makes decision to maximize its profit and the benefit of environmental protection. Logit model is used to characterize the consumer behavior on product choice with insufficient information. Firstly, based on Nash equilibrium theory, competitive behaviors of manufacturers, retailers and recovery enterprises are analyzed respectively together with the corresponding variational inequality equilibrium models. The stochastic equilibrium conditions of demand markets with stochastic demand are obtained. The equilibrium of recovery markets is realized if and only if the quantities and prices of supply and demand are balanced. Then a variational inequality model is obtained to characterize the equilibrium of multi-commodity closed-loop supply chain network with multi-criteria and stochastic demand. Finally, a numerical example shows the reasonability of the model and the sensitivity analysis of the factors of consumers’ environment value and government’s subsidy.

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Acknowledgments

This work is partially supported by National Natural Science Foundation of China (NSFC 70961006), China Postdoctoral Science Foundation (20100481186), China Postdoctoral Science Foundation Special sustentation (2012T50593).

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Xu, B., Jiang, K. (2014). A Closed-loop Supply Chain Network Equilibrium Model with Multi-criteria and Stochastic Demand. In: Xu, J., Fry, J., Lev, B., Hajiyev, A. (eds) Proceedings of the Seventh International Conference on Management Science and Engineering Management. Lecture Notes in Electrical Engineering, vol 242. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40081-0_76

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