A new model for more effective supplier selection and remanufacturing process in a closed-loop supply chain

A new model for more effective supplier selection and remanufacturing process in a closed-loop supply chain
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DOI:
10.1016/j.apm.2016.06.039
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发表时间:
2016-12
影响因子:
5
通讯作者:
Ali Shakourloo;A. Kazemi;M. O. M. Javad-M.-O.-M.-Javad-41210537
Ali Shakourloo;A. Kazemi;M. O. M. Javad-M.-O.-M.-Javad-41210537
中科院分区:
工程技术2区
文献类型:
--
作者:
Ali Shakourloo;A. Kazemi;M. O. M. Javad-M.-O.-M.-Javad-41210537

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逆向物流在过去十年中越来越受到关注。它包括与产品再利用相关的操作,例如从客户处收集产品以及维修,再利用和回收等一般流程。收集的产品根据需求和其他因素进行评估,如产品工艺。在本文中,一个一般的闭环供应链(CLSC),其中包括制造商,再制造商,第三方物流供应商(3PLs),收集使用过的产品。该模型包括两个阶段:在第一阶段,一个框架,它指定了产品的优先级,并指定一个供应商收集每个产品,基于模糊层次分析法的因素,旨在降低再制造过程中的风险。在第二阶段,提出了多目标整数线性规划,以确定一个优化的数量的产品,应该由供应商提供的,也是模块和组件的每个产品,应该在CLSC网络再制造。本研究的目标是最大限度地减少浪费和成本的过程中,最大限度地提高利润的CLSC网络。采用LINGO软件对该模型进行了数值求解,并给出了最优解。
Reverse logistics increasingly gained interest in the past decade. It consists of operations related to the reuse of products, such as the collection of products from customers and general processes such as repairing, reusing, and recycling. Collected products are assessed based on demands and other factors, such as product process. In this paper, a general closed loop supply chain (CLSC) is examined which includes manufacturer, remanufacturer, and third-party logistics provider (3PLs), which collects used products. The proposed model comprises two phases: in the first phase, a framework which specifies the priority of products and dedicates a supplier for collecting each product, based on fuzzy AHP factors with the intention of decreasing the risk of remanufacturing process. In the second phase, multi-objective integer linear programming is proposed for determining an optimized number of products which should be provided by suppliers, and also the modules and components of each product which should be remanufactured in the CLSC network. The objectives of this study are to minimize the waste and cost of the processes and maximize the profit in the CLSC network. The proposed model is solved numerically using the LINGO software and an optimal solution is presented.