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中国管理科学 ›› 2008, Vol. 16 ›› Issue (5): 90-95.

• 论文 • 上一篇    下一篇

供应链前沿生产函数的DEA估计研究

杨锋, 梁樑, 凌六一, 杜少甫   

  1. 中国科学技术大学管理学院, 安徽合肥230026
  • 收稿日期:2008-04-07 修回日期:2008-09-30 出版日期:2008-10-31 发布日期:2008-10-31
  • 作者简介:杨锋(1977- ),男(汉族),湖北人,中国科学技术大学管理学院,管理科学与工程专业博士,研究方向:管理科学、运筹学.
  • 基金资助:

    国家杰出青年基金(70525001);国家自然科学基金(70801056);中国科技大学青年科学基金

DEA Estimation to Frontier Production Functions of Supply Chains

YANG Feng, LIANG Liang, LING Liu-yi, DU Shao-fu   

  1. Management School, University of Science and Technology of China, Hefei 230026, China
  • Received:2008-04-07 Revised:2008-09-30 Online:2008-10-31 Published:2008-10-31

摘要: 技术效率评价在管理学理论研究与企业市场实践中均具有重要意义,而对技术效率的评价必须立足于对前沿生产函数的估计。供应链管理已经被证实是降低成本以提供更大产品与更好服务的有效方法,然而,对于供应链的前沿生产函数的估计尚未得到研究。这主要是因为两方面研究的缺乏;其一,多产出的生产系统的前沿生产函数估计方法;其二,多阶段的生产系统的前沿生产函数估计方法。本文将提出一种供应链前沿生产函数的估计方法,以解决上述两个主要障碍。有关商业银行运作的实证研究表明,该方法能够估计供应链的前沿生产函数。

关键词: 数据包络分析, 供应链, 前沿生产函数

Abstract: Evaluation to technical efficiency is of greatimportance for both academic research in management science and the real world applications in market economy. The exact evaluation to technical efficiency should be based on the accuracy of estimation to the frontier production functions. Supply chain management has proven as an effective means to provide high-quality product so rserves at the least cost. However,the research on the frontier production functions of supply chains is still in absence. Two reasons can be concluded:the first one is the absence of methods to estimate the frontier production functions of multiple-out put process,and the second is the absence of methods to estimate the frontier production functions of multiple-stage process. This paper will advance an approach to estimate the frontier production functions of supply chains and the two obstacles can be overcome. The real world application about commercial banking process demonstrates that the proposed approach can be used to estimate the frontier production functions of supply chains.

Key words: data envelopment analysis(DEA), Supply chain, Frontier production function

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