运筹与管理 ›› 2021, Vol. 30 ›› Issue (4): 184-189.DOI: 10.12005/orms.2021.0128

• 应用研究 • 上一篇    下一篇

基于SMAA和公共权重的决策单元效率评价与排序

朱运霞, 昂胜, 杨锋   

  1. 中国科学技术大学 管理学院,安徽 合肥 230026
  • 收稿日期:2018-09-17 出版日期:2021-04-25
  • 通讯作者: 昂胜(1987-),男,安徽肥东人,副教授,研究方向:评价理论与决策、供应链管理。
  • 作者简介:朱运霞(1995-),女,安徽六安人,硕士研究生,研究方向:数据包络分析;杨锋(1977-),男,湖北武汉人,教授,博士生导师,研究方向:决策方法与应用、供应链与运作管理、数据分析。
  • 基金资助:
    国家自然科学基金资助项目(71601173,71631006);中央高校基本科研业务费专项资金(WK2040160025)

Efficiency Evaluation and Ranking for Decision Making Units Based on SMAA and Common Weight

ZHU Yun-xia, ANG Sheng, YANG Feng   

  1. School of Management, University of Science and Technology of China, Hefei 230026, China
  • Received:2018-09-17 Online:2021-04-25

摘要: 在数据包络分析(DEA)中,公共权重模型是决策单元效率评价与排序的常用方法之一。与传统DEA模型相比,公共权重模型用一组公共的投入产出权重评价所有决策单元,评价结果往往更具有区分度且更为客观。本文考虑决策单元对排序位置的满意程度,提出了基于最大化最小满意度和最大化平均满意度两类新的公共权重模型。首先,基于随机多准则可接受度分析(SMAA)方法,计算出每个决策单元处于各个排名位置的可接受度;然后,通过逆权重空间分析,分别求得使最小满意度和平均满意度最大化的一组公共权重;最后,利用所求的公共权重,计算各决策单元的效率值及相应的排序。算例分析验证了本文提出的基于SMAA的公共权重模型用于决策单元效率评价与排序的可行性。

关键词: 随机多准则可接受度分析, 数据包络分析, 公共权重, 排序

Abstract: Common weight model has been one of widely used efficiency evaluation and ranking methods for decision making units(DMUs)in Data Envelopment Analysis(DEA). Compared with the traditional DEA models which are based on self-evaluation efficiency, the common weight model assesses all DMUs with a common set of input and output weights; thus, the evaluation results are more discriminating and objective. This study considers the satisfaction degree of a DMU to its ranking position and proposes two types of common weight models: the one is to maximize the minimum satisfaction and the other is tomaximize the average satisfaction. Firstly, the acceptability index of each DMU in each ranking position is obtained using Stochastic Multi-criteria Acceptability Analysis(SMAA). Secondly, the weight space is explored to find the weight which maximizes the minimum or average satisfaction as a set of common weight. Finally, we calculate the efficiency scores for all the DMUs and rank them using the obtained common weight. The feasibility and effectiveness of our proposed method for efficiency evaluation and ranking are illustrated by a numeral example.

Key words: Stochastic Multi-criteria Acceptability Analysis(SMAA), Data Envelopment Analysis(DEA), common weight, ranking

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