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Article

The Complexity Entropy Analysis of a Supply Chain System Considering Recovery Rate and Channel Service

1
Institute of Modern Logistics, Henan University, Kaifeng 475004, China
2
Institute of Management Science and Engineering, Henan University, Kaifeng 475004, China
3
School of Business, Henan University, Kaifeng 475004, China
4
School of Management & Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
*
Author to whom correspondence should be addressed.
Entropy 2019, 21(7), 659; https://doi.org/10.3390/e21070659
Submission received: 20 May 2019 / Revised: 29 June 2019 / Accepted: 1 July 2019 / Published: 4 July 2019
(This article belongs to the Section Complexity)

Abstract

In this paper, we study a dual-channel closed-loop supply chain in which a manufacturer considers the market waste products recovery and remanufacture, and a retailer considers provide services to customers. We build a Stackelberg game model and a centralized game model in a static and dynamic state, respectively, and analyze the two dynamic models by mathematical analysis and explore the stability and entropy of the two models using bifurcation, the basin of attraction, chaotic attractors, and so on. The influences of service level and profit distribution rate on the system’s profit are discussed. The theoretical results show that higher price adjustment speed will lead to the system lose stability with a larger entropy value. In the Stackelberg game model, the stability of the system increases as the service value and the recovery rate increases; in the centralized model, the stability of the system decreases with the increase of the service value and increases with the recovery rate increases. When the Stackelberg game model is in a stable state, the manufacturer’s profit increases first and then decreases, and the retailer’s profit first decreases and then increases as the service value of the retailer increases. The research will serve as good guidance for both the manufacturer and retailer in dual-channel closed-loop supply chains to improve decision making.
Keywords: closed-loop supply chain; recovery rate; service; entropy closed-loop supply chain; recovery rate; service; entropy

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MDPI and ACS Style

Li, Q.; Shi, M.; Deng, Q.; Huang, Y.-m. The Complexity Entropy Analysis of a Supply Chain System Considering Recovery Rate and Channel Service. Entropy 2019, 21, 659. https://doi.org/10.3390/e21070659

AMA Style

Li Q, Shi M, Deng Q, Huang Y-m. The Complexity Entropy Analysis of a Supply Chain System Considering Recovery Rate and Channel Service. Entropy. 2019; 21(7):659. https://doi.org/10.3390/e21070659

Chicago/Turabian Style

Li, Qiuxiang, Mengnan Shi, Qing Deng, and Yi-min Huang. 2019. "The Complexity Entropy Analysis of a Supply Chain System Considering Recovery Rate and Channel Service" Entropy 21, no. 7: 659. https://doi.org/10.3390/e21070659

APA Style

Li, Q., Shi, M., Deng, Q., & Huang, Y.-m. (2019). The Complexity Entropy Analysis of a Supply Chain System Considering Recovery Rate and Channel Service. Entropy, 21(7), 659. https://doi.org/10.3390/e21070659

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