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Quality Improvement Policies in a Supply Chain with Stackelberg Games

Author

Listed:
  • Gang Xie
  • Wuyi Yue
  • Shouyang Wang

Abstract

We first analyze quality and price decisions in a supply chain with two Stackelberg games: Manufacturer’s Stackelberg (MS) and Supplier’s Stackelberg (SS). Then, we investigate how equilibrium solutions are influenced by proposed quality improvement policies: coordination and manufacturer’s involvement. Also, we derive the conditions under which the policies can be implemented in both MS and SS strategies. Numerical experiments illustrate the problems and several related issues are discussed. The results suggest that proposed quality improvement policies can realize Pareto improvement for the supply chain performance.

Suggested Citation

  • Gang Xie & Wuyi Yue & Shouyang Wang, 2014. "Quality Improvement Policies in a Supply Chain with Stackelberg Games," Journal of Applied Mathematics, John Wiley & Sons, vol. 2014(1).
    • Handle: RePEc:wly:jnljam:v:2014:y:2014:i:1:n:848593
    DOI: 10.1155/2014/848593
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    References listed on IDEAS

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    Cited by:

    1. Kou-Huang Chen & Chin-Nung Liao & Li-Chun Wu, 2014. "A Selection Model to Logistic Centers Based on TOPSIS and MCGP Methods: The Case of Airline Industry," Journal of Applied Mathematics, John Wiley & Sons, vol. 2014(1).
    2. Chuan Ding & Kaihong Wang & Xiaoying Huang, 2014. "Channels Coordination Game Model Based on Result Fairness Preference and Reciprocal Fairness Preference: A Behavior Game Forecasting and Analysis Method," Journal of Applied Mathematics, John Wiley & Sons, vol. 2014(1).

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