Abstract Cleaning of waste in a production system under a sustainable supply chain management (SSCM) is the main issue for many industries. For this reason, the combined effects of improved quality of products and controlling carbon emission are very essential for any sustainable supply chain management. Business managers control the production process in order to reduce total sustainable supply chain cost and they also consider the best transaction policy for delivering finished products to other parties. In this manuscript, a three-echelon sustainable supply chain model with a single-supplier, single-manufacture, and multiple retailers is considered. A discrete setup cost reduction for the supplier makes the model more realistic. The party (manufacturer) estimates the defective cost, as the received products from the supplier are not always perfect. The main task for the manufacturer is to reduce defective products and control the carbon emission to maintain the sustainability. The retailer maintains the exact order as on demand to the manufacturer to save from the excess holding costs. The model has been solved with a specific algebraic procedure to obtain the global optimum solution. Some numerical experiments are conducted to ensure the effectiveness of the model and reduction of cost. A sensitivity analysis and graphical representation are specified for the effectiveness of this study. Numerical experiments find that the model obtains the global optimum solution at the optimum values of the decision variables and the reduction of carbon emission has been proved. The quality of the product can be improved by the recommended strategies.

中文翻译：

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可持续供应链管理中固定寿命产品的碳排放和生产质量改进的综合效应

摘要 在可持续供应链管理 (SSCM) 下清洁生产系统中的废物是许多行业的主要问题。因此，提高产品质量和控制碳排放的综合效应对于任何可持续供应链管理都非常重要。业务经理控制生产过程以降低可持续供应链的总成本，他们还考虑将成品交付给其他方的最佳交易策略。在这份手稿中，考虑了一个具有单一供应商、单一制造商和多个零售商的三级可持续供应链模型。供应商的离散设置成本降低使模型更加真实。一方（制造商）估算缺陷成本，因为从供应商收到的产品并不总是完美的。制造商的主要任务是减少缺陷产品并控制碳排放以保持可持续性。零售商根据制造商的需求维护确切的订单，以节省多余的持有成本。该模型已经用特定的代数程序求解以获得全局最优解。为了保证模型的有效性和降低成本，进行了一些数值实验。本研究的有效性指定了敏感性分析和图形表示。数值实验发现，该模型在决策变量的最优值处得到了全局最优解，证明了减少碳排放。