Multi-Echelon Data Envelopment Analysis Variable Returns to Scale Models for Performance Evaluation of Supply Chains

Mithun J. Sharma, S. Yu
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Abstract

This paper develops a variable returns to scale multi-echelon data envelopment analysis (DEA) model to measure the efficiency of supply chain. The model is constructed at first with the assumption of serial sequence in a supply chain. The inputs of one stage become the output of the other stage in the multi-echelon structure. The traditional variable returns to scale model of DEA is modified to fit in the multi-echelon structure. The developed model helps to evaluate the supply network in a coordinated manner. It also provides helpful insights as how to improve the supply network performance.
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供应链绩效评价的多级数据包络分析
本文建立了一个衡量供应链效率的多级数据包络分析(DEA)模型。该模型首先以供应链中的串行序列为假设来构建。在多级结构中,一个阶段的输入成为另一个阶段的输出。对传统的DEA变收益比例模型进行了改进,使其适应多梯队结构。所建立的模型有助于以协调的方式对供应网络进行评估。它还提供了关于如何改善供应网络性能的有用见解。
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