含不可控因素的非径向超效率数据包络分析评价供应商效率与排名

IF 0.9 Q3 COMPUTER SCIENCE, THEORY & METHODS
Mushtaq Taleb, Ruzelan Khalid, Mamdooh Attallah, Razamin Ramli, M. Nawawi
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引用次数: 2

摘要

供应链管理(SCM)已受到学术界和企业界的广泛关注。有效和可持续的供应链管理需要对供应商进行适当的效率评估。这种评价可以使用数据包络分析(DEA)来进行。经典的DEA模型假设所有的投入和产出都在供应商管理的控制之下,模型无法给出高效和低效供应商的完整排序。然而,在供应链管理和其他实际管理问题中,一些输入和/或输出可能是不可控的(在管理控制之外)。为此,本文提出了一种能够处理不可控因素的超效率基于松弛测度(SE-SBM)方法。所提出的方法可以区分高效和低效的供应商,并确定其排名。所提出的方法的区别在于它同时处理投入过剩和产出不足,以改善效率低下的供应商,以及有效供应商的投入节约和产出过剩,以保持其效率状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating efficiency and ranking of suppliers using non-radial super-efficiency data envelopment analysis with uncontrollable factors
ABSTRACT Supply chain management (SCM) has been received much attention from academics and corporates. Effective and sustainable SCM require proper efficiency evaluation of suppliers. Such evaluation can be performed using data envelopment analysis (DEA). Classical DEA models presume all inputs and outputs are under the control of suppliers’ management, as well as the models cannot provide a complete ranking of efficient and inefficient suppliers. However, in SCM and other real-managerial problems, some inputs and/or outputs may be uncontrollable (outside management control). Thus, this paper proposes a super efficiency of slacks-based measure (SE-SBM) approach that can handle uncontrollable factors. The proposed approach can distinguish between efficient and inefficient suppliers and identify their rankings. The discriminating power of the proposed approach is due to it concurrently deals with input excesses and output shortfalls to improve inefficient suppliers, as well as input savings and output surpluses of efficient suppliers to maintain their efficient status.
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来源期刊
International Journal of Computer Mathematics: Computer Systems Theory
International Journal of Computer Mathematics: Computer Systems Theory Computer Science-Computational Theory and Mathematics
CiteScore
1.80
自引率
0.00%
发文量
11
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