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首页> 外文期刊>Journal of Cleaner Production >A novel multi-objective optimization model for integrated problem of green closed loop supply chain network design and quantity discount
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A novel multi-objective optimization model for integrated problem of green closed loop supply chain network design and quantity discount

机译:绿色闭环供应链网络设计与数量折扣集成问题的多目标优化模型

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摘要

With the increasing importance of the efficient purchasing function, supplier selection decisions have become more strategic in supply chain management. In the past few years, the closed-loop green supply chain network has faced increasing attention with regard to the environmental regulations, social awareness and customer pressure. In order to cope with these two issues, this paper proposes an integrated mathematical programming model for multi-period, multi-product and capacitated closed loop green supply chain in which suppliers offer quantity discounts in order to motivate buyers to purchase more. The model objective functions are the minimization of economic cost and environmental emissions and maximization of customer satisfaction with determining best suppliers, purchasing amount, location-allocation facilities, transportation mode, technology type, carbon dioxide emissions, inventory levels and flows between facilities. Sensitivity analysis is conducted to validate the model for some test problems. Computational results show the effectiveness and applicability of the proposed model. Also, results have revealed that supply chain total costs are significantly reduced by considering quantity discount. (C) 2018 Elsevier Ltd. All rights reserved.
机译:随着高效采购功能的重要性日益提高,供应商选择决策在供应链管理中已变得更具战略意义。在过去的几年中,闭环绿色供应链网络在环境法规,社会意识和客户压力方面受到越来越多的关注。为了解决这两个问题,本文提出了一种针对多周期,多产品和有容量的闭环绿色供应链的集成数学规划模型,其中供应商提供数量折扣以激励购买者购买更多产品。该模型的目标功能是通过确定最佳供应商,采购量,位置分配设施,运输方式,技术类型,二氧化碳排放量,库存水平和设施之间的流量来最大程度地降低经济成本和环境排放,并最大程度地提高客户满意度。进行敏感性分析以验证模型是否存在某些测试问题。计算结果表明了该模型的有效性和适用性。而且,结果表明,考虑数量折扣,可以显着降低供应链总成本。 (C)2018 Elsevier Ltd.保留所有权利。

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