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首页> 外文会议>Environmentally Conscious Manufacturing VI; Proceedings of SPIE-The International Society for Optical Engineering; vol.6385 >Supplier Selection in a Closed-Loop Supply Chain Network: An ANP-Goal Programming Based Methodology
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Supplier Selection in a Closed-Loop Supply Chain Network: An ANP-Goal Programming Based Methodology

机译：闭环供应链网络中的供应商选择：一种基于ANP目标编程的方法

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摘要

Traditionally, in supply chain literature, the supplier selection problem is treated as an optimization problem that requires formulating a single objective function. However, not all supplier selection criteria can be quantified, as a result of which, only a few quantitative criteria are included in the problem formulation. To this end, in this paper, we develop an integrated analytic network process (ANP) and preemptive goal programming (PGP) based multi-criteria decision making methodology to address the qualitative and quantitative criteria that influence the supplier selection problem in a closed-loop supply chain network (CLSC). While the ANP methodology aids in determining qualitatively the supply chain strategy by evaluating the suppliers with respect to several criteria, the PGP methodology uses the ANP ratings as inputs and aids in mathematically determining the optimal quantities to be ordered from the suppliers.
机译：传统上，在供应链文献中，供应商选择问题被视为需要制定单个目标函数的优化问题。但是，并非所有供应商选择标准都能被量化，因此，问题制定中只包括了一些量化标准。为此，在本文中，我们开发了一种基于综合分析网络过程（ANP）和先发性目标规划（PGP）的多准则决策方法，以解决影响供应商选择问题的定性和定量标准。供应链网络（CLSC）。 ANP方法论通过评估供应商的几个标准来帮助定性确定供应链策略，而PGP方法论则使用ANP等级作为输入，并有助于数学确定要从供应商处订购的最佳数量。

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