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首页> 外文期刊>Applied Mathematical Modelling >Supply chain performance evaluation with data envelopment analysis and balanced scorecard approach
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Supply chain performance evaluation with data envelopment analysis and balanced scorecard approach

机译：数据包络分析和平衡计分卡方法的供应链绩效评估

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摘要

One of the most complicated decision making problems for managers is the evaluation of supply chain (SC) performance which involves various criteria. Though vast studies have been recorded on supply chain efficiency evaluation via balanced scorecard (BSC) approach, these studies do not focus on the relationships between the four perspectives of BSC approach. The present paper is an attempt focusing on these relationships, especially the returnable ones. To do so, at first, all relationships between the four perspectives of BSC were determined and then the DEMATEL approach was employed to obtain a network structure. This network structure was then used to create a network DEA model. Since it was not possible to calculate the efficiency evaluation score by BSC, the data envelopment analysis (DEA) model was used for such an evaluation. Moreover, after reviewing different tools to evaluate the performance of supply chain, a new approach, relying on network DEA with BSC approach, was generated. Finally, this model was applied in the Iranian food industry to evaluate its supply chains efficiency and the results proved the high efficiency of the model designed. The findings could be used in various evaluation processes in different industries.
机译：对于管理人员来说，最复杂的决策问题之一是对供应链（SC）绩效的评估，其中涉及各种标准。尽管已通过平衡计分卡（BSC）方法对供应链效率评估进行了大量研究，但这些研究并未关注BSC方法的四个观点之间的关系。本文是针对这些关系，特别是可返回关系的一种尝试。为此，首先确定BSC四个视角之间的所有关系，然后采用DEMATEL方法获得网络结构。然后，使用该网络结构来创建网络DEA模型。由于无法通过BSC计算效率评估得分，因此将数据包络分析（DEA）模型用于这种评估。此外，在审查了评估供应链绩效的各种工具之后，产生了一种新的方法，该方法依赖于网络DEA和BSC方法。最后，该模型在伊朗食品工业中的应用对其供应链效率进行了评估，结果证明了所设计模型的高效率。研究结果可用于不同行业的各种评估过程。

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