Faculty of Business and Law, De Montfort University, Leicester, UK.
Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran.
J Environ Manage. 2024 Sep;367:121738. doi: 10.1016/j.jenvman.2024.121738. Epub 2024 Aug 2.
This article introduces a green centralized supply chain in a two-stage stochastic programming model using deteriorating products. The model reduces the cost of purchasing, transporting, storing, product recovery and shortages. This cuts down on greenhouse emission related to transportation, product recovery, and recycling programs. On the basis of this, we explore the utilization of the circular economy to the damages that could occur from used products. Furthermore, revenue sharing and quantity discount contracts are examined in the business models between the members of the supply chain and the external manufacturer. Demand is assumed to be uncertain, and scenarios are created to account this. The model specifies the optimal order quantities, transportation modes and contract terms that minimize costs and environmental impacts. Numerical examples analyze the trade-offs between economic and environmental objectives under different supply chain parameters. The results provide insights for circular supply chains that reconcile economic incentives with environmental responsibility for deteriorating product.
本文在一个两阶段随机规划模型中引入了一个使用变质产品的绿色集中供应链。该模型降低了采购、运输、储存、产品回收和短缺的成本。这减少了与运输、产品回收和回收计划相关的温室气体排放。在此基础上，我们探讨了利用循环经济来减少使用产品可能造成的损害。此外，还研究了供应链成员与外部制造商之间的收益共享和数量折扣合同的商业模式。假设需求是不确定的，并创建了场景来对此进行说明。该模型指定了最小化成本和环境影响的最优订单数量、运输方式和合同条款。数值示例分析了在不同供应链参数下经济和环境目标之间的权衡。结果为协调经济激励和变质产品环境责任的循环供应链提供了见解。
