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中国管理科学

中国管理科学 >

2015 , Vol. 23 >Issue 11: 145 - 152

DOI: https://doi.org/10.16381/j.cnki.issn1003-207x.2015.11.018

论文

基于自由处置性的网络系统效率评价模型研究

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  • 1. 湖南大学工商管理学院, 长沙 410082;
    2. Business School, University of Kent, Kent, CT2 7PE
周忠宝(1977-),男(汉族),山东齐河人,湖南大学工商管理学院教授,博士生导师,研究方向:金融工程与风险管理、系统优化与决策.

收稿日期: 2013-09-26

  修回日期: 2014-02-23

  网络出版日期: 2015-12-01

基金资助

国家自然科学基金资助项目(71371067)

收起

Research on Efficiency Evaluation Models for Network Systems Based on Free Disposability Principles

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  • 1. School of Business Administration, Hunan University, Changsha 410082, China;
    2. Business School, University of Kent, Kent, CT2 7PE, England

Received date: 2013-09-26

  Revised date: 2014-02-23

  Online published: 2015-12-01

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摘要

网络系统生产可能集是构建网络DEA模型的基础,而相邻生产子过程的投入产出连接条件则是构造生产可能集的关键。现有的网络DEA模型在本质上都假设所有子过程的投入产出都满足强自由处置性,然而在实际生产管理活动中,这一假设未必成立。本文从各类自由处置公理出发,系统地研究了各种类型的子过程投入产出连接条件,构建了一般网络系统的生产可能集,给出了相应的等价形式,并构建了相应的网络DEA模型用于评价决策单元的效率。最后利用本文提出的方法和模型对我国上市银行的效率进行了评价。本文的研究对于一般网络系统的绩效评价和改进具有重要的意义。

关键词： 网络系统; 自由处置性; 生产可能集; 数据包络分析; 效率评价

本文引用格式

周忠宝, 喻怀宁, 马超群, 刘佩, 刘文斌 . 基于自由处置性的网络系统效率评价模型研究[J]. 中国管理科学, 2015 , 23(11) : 145 -152 . DOI: 10.16381/j.cnki.issn1003-207x.2015.11.018

Abstract

Production possibility set (PPS) is the basis for constructing DEA models of network systems. The connection conditions of sub-processes are the key points for building the PPS. In nature, the existing network DEA models assume that all inputs and outputs of sub-processes satisfy the strongly free disposability principle. However, it is not always true in real production and management activities. Therefore, from the perspective of different free disposability principles, the connection conditions for inputs and outputs of sub-processes are studied; the production possibility sets and their equivalent formulations for general network systems are built. The DEA models are constructed accordingly for evaluating the efficiencies of network systems are built. In the end, the proposed models are used to evaluate the performance of China's listed banks. This research is quite informative for performance evaluation and improvement for general network systems.

Key words： network systems; free disposability principles; production possibility sets; data envelopment analysis; performance evaluation

参考文献

[1] Castelli L, Pesenti R, Ukovich W. DEA-like models for efficiency evaluations of specialized and interdependent units[J]. European Journal of Operational Research, 2001,132(2):274-286.

[2] Castelli L, Pesenti R, Ukovich W. DEA-like models for the efficiency evaluation of hierarchically structured units[J]. European Journal of Operational Research,2004, 154(2):465-476.

[3] Chang T-S, Tone K, Wei Quanling. Ownership-specified network DEA models[J]. Annals of Operations Research,214(1):1-26.

[4] Chen C, Yan Hong. Network DEA model for supply chain performance evaluation[J]. European Journal of Operational Research,2011, 213(1):147-155.

[5] Färe R, Grosskopf S. Network DEA[J]. Socio-Economic Planning Sciences,2000, 34(1):35-49.

[6] Kao C. Efficiency decomposition in network data envelopment analysis:A relational model[J]. European Journal of Operational Research,2009, 192(3):949-962.

[7] Kao C. Efficiency decomposition for parallel production systems[J]. Journal of operation Research Society,2012, 63(1):64-71.

[8] Kao C, Hwang S N. Efficiency decomposition in two-stage data envelopment analysis:An application to non-life insurance companies in Taiwan[J]. European Journal of Operational Research,2008, 185(1):418-429.

[9] Kao C, Hwang S N. Efficiency measurement for network systems:IT impact on firm performance[J]. Decision Support Systems,2010, 48(3):437-446.

[10] Lewis H F, Sexton T R. Network DEA:Efficiency analysis of organizations with complex internal structure[J]. Computers & Operations Research,2004, 31(9):1365-1410.

[11] Liang Liang, F. Yang Feng, Zhu J, et al. DEA models for supply chain efficiency evaluation[J]. Annals of Operations Research, 2006,145(1):35-49.

[12] Liu W B, Meng W, Li X X, et al. DEA models with undesirable inputs and outputs[J]. Annals of Operations Research,2010, 173(1):177-194.

[13] Prieto A M, Zofío J L. Network DEA efficiency in input-output models:With an application to OECD countries[J]. European Journal of Operational Research,2007, 178(1):292-304.

[14] Tone K, Tsutsui M. Network DEA:A slack-based measure approach[J]. European Journal of Operational Research,2004, 197(1):243-252.

[15] Yang Feng, Wu Dexiang, Liang Liang, et al. Supply chain DEA:production possibility set and performance evaluation model[J]. Annals of Operations Research,2011, 185(1):195-211.

[16] Yang Yinsheng, Ma Benjiang, Koike M. Efficiency-measuring DEA model for production system with k independent subsystems[J]. Journal of the Operations Research Society of Japan,2000, 43(3):343-354.

[17] Zhou Zhongbao, Wang Mei, Ding Hui, et al. Further study of production possibility set and performance evaluation model in supply chain DEA[J]. Annals of Operations Research,2013, 206(1):585-592.

[18] 毕功兵,梁樑,杨锋.资源约束型两阶段生产系统的DEA效率评价模型[J].中国管理科学,2009, 17(2):71-75.

[19] 杨锋,梁樑,凌六一,等并联结构决策单元的DEA效率评价研究[J].中国管理科学,2009, 17(6):157-162.

[20] 杨锋.含有多个子系统的决策单元的DEA效率评估研究[D].合肥:中国科技大学,2006.
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