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Decision Making for a Risk-Averse Dual-Channel Supply Chain with Customer Returns

  • Linlin Zhang
  • Zhong YaoEmail author
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 184)

Abstract

An optimal mathematic model is presented in consideration of customers’ returns in a dual-channel supply chain consisting of a risk-averse manufacturer and a risk-averse retailer under the stochastic market requirement which supports the decision-making process for participants. Closed-form decisions are achieved in the centralized scenario. In the decentralized scenario, mean-variance analysis is used to conduct risk analysis. This study also delves into the influence of the degree of risk aversion, demand fluctuation and return rates on optimal decisions with the help of sensitivity analysis and numerical experimentation. Sensitivity analysis also indicates that the optimal solutions are robust. The model is a real expansion of the model library in the decision support system for dual-channel supply chains.

Keywords

Dual-channel supply chain Risk-averse Mean-variance Pricing decision 

Notes

Acknowledgments

This paper is supported by the Natural Science Foundation of China (71071006; 71271012;71332003).

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.School of Economics and ManagementBeiHang UniversityBeijingChina

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