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Optimal Alliance Strategy and Its Impact in a Closed-Loop Supply Chain by considering Greenness and Service Effort

机译:考虑绿色和服务努力,最优联盟策略及其对闭环供应链的影响

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This paper handles Stackelberg game models in light of different alliance strategies in a closed-loop supply chain (CLSC) consisting of a manufacturer, a retailer, and a third-party recycler. In this CLSC, four scenarios are examined: the decentralized case, the manufacturer and the retailer forming an alliance, the manufacturer and the third-party recycler forming an alliance, and the centralized case. And in these Stackelberg game models, a comparison between four alliance strategies is analyzed by considering greenness and service effort. The effect of alliance strategy on the decisions of the CLSC system, consumer, environment, and society is also investigated. The main objective is to find out the optimal price, greenness level, and service effort to maximize the CLSC members’ profits and give the optimal alliance strategy by using theoretical analysis. It is found that the alliance strategy improves the operation efficiency of the CLSC, and it also benefits consumers, the environment, and society. The MR alliance strategy is more effective than the MT alliance strategy, but it cannot achieve the efficiency of a centralized scenario. Finally, numerical examples are illustrated to justify the feasibility and practicability of the proposed models in reality.
机译:本文根据由制造商,零售商和第三方回收商组成的闭环供应链(CLSC)的不同联盟策略,处理Stackelberg游戏模型。在此CLSC中,检查了四种情况:分散的案例,制造商和零售商形成联盟,制造商和形成联盟的第三方回收商,以及集中式案例。在这些Stackelberg游戏模型中,通过考虑绿色和服务努力,分析了四个联盟策略之间的比较。还调查了联盟战略对CLSC系统,消费者,环境和社会决定的影响。主要目标是找出最佳的价格,绿色水平和服务努力,以最大限度地提高CLSC成员的利润,并通过使用理论分析来提供最佳联盟策略。结果发现,联盟策略提高了CLSC的运营效率,也有利于消费者,环境和社会。先生联盟战略比MT联盟战略更有效,但它无法达到集中方案的效率。最后,示出了数值示例以证明所提出的模型的可行性和实用性。

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