主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院

Chinese Journal of Management Science ›› 2025, Vol. 33 ›› Issue (2): 71-83.doi: 10.16381/j.cnki.issn1003-207x.2022.2113

Previous Articles     Next Articles

Cost DEA Game and Cost Allocation Method Considering the Relative Competitiveness of Decision-making Units

Yao Wen1, Qingxian An2,3(), Yongli Li4   

  1. 1.School of Economics & Management,Fuzhou University,Fuzhou 350108,China
    2.School of Business,Central South University,Changsha 410083,China
    3.Xiangjiang Laboratory,Changsha 410205,China
    4.School of Management,Harbin Institute of Technology,Harbin 150001,China
  • Received:2022-09-26 Revised:2022-12-25 Online:2025-02-25 Published:2025-03-06
  • Contact: Qingxian An E-mail:anqingxian@163.com

Abstract:

Cooperation is one of the effective strategies for companies to reduce costs; and reasonable measurement and allocation of potential benefits are the key to successful cooperation. For partners with a competitive relationship, their relative competitiveness should not change due to cooperation. A cost DEA game is first built based on data envelopment analysis (DEA) and cooperative game theory, with the aim of quantitatively describing the cooperation between decision making units (DMUs); then, for the cost allocation, an equal competitiveness method (ECM) is proposed to minimize the relative competitiveness changes of any two DMUs (i.e., cooperative players) before and after cost allocation, which makes it possible to maintain relative competitiveness as much as possible. By using the row generation algorithm and lexicographic min-max approach, the cost allocation provided by ECM satisfies uniqueness, effectiveness, stability, symmetry, virtual players, and so on. Finally, taking 3 DMUs and 25 supermarkets as examples, comparing ECM with the core, Shapley value, and nucleolus, it is found that after cost allocation, ECM can best maintain the relative competitiveness of DMUs. It provides a reference for enterprises' managers to make the cooperation decisions, and cost allocation after cooperation in this research.

Key words: data envelopment analysis, cost allocation, equal competitiveness method, row generation algorithm, lexicographic min-max approach

CLC Number: