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Chinese Journal of Management Science ›› 2025, Vol. 33 ›› Issue (7): 24-32.doi: 10.16381/j.cnki.issn1003-207x.2023.1971

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Group Ranking Data Envelopment Analysis Model

Ren Mu1,2, Lining Hao2, Ankang Li2, Shuyi Zhang3, Wei Cui2()   

  1. 1.Academy of Big Data and Interdisciplinary Science,Jilin University of Finance and Economics,Changchun 130117,China
    2.School of Statistics,Jilin University of Finance and Economics,Changchun 130117,China
    3.Institute of Science and Technology Information of Jilin Province,Changchun 130033,China
  • Received:2023-11-23 Revised:2024-05-30 Online:2025-07-25 Published:2025-08-06
  • Contact: Wei Cui E-mail:cuiwei@imut.edu.cn

Abstract:

In many practical decision-making problems, we not only focus on the best efficiency of decision-making units, but also on the best ranking of decision-making units. Therefore, scholars have proposed a data envelopment analysis method that can provide the ranking interval of decision-making units. However, existing ranking methods cannot provide a joint ranking strategy for group decision-making units. In fact, in complex and fierce market competition, companies often use alliance strategies to expand their own advantages and compensate for their disadvantages. In view of this, a group ranking data envelopment analysis model is proposed that can provide joint best and worst ranking for group decision making units. This model not only provides a new basis for the effective alliance of decision-making units, but also provides a quantitative basis for the cooperation effect of the alliance. Finally, specific group ranking results were obtained using 18 logistics companies and 53 metal product companies in China as examples.

Key words: data envelopment analysis, best ranking, worst ranking, group decision making units

CLC Number: