基于绩效评价的决策单元的合并理论与方法研究

There exists a large amount of recombination and merger behaviour in modern management practice such as enterprise recombination, university (college, school or department) merger, government reorganization and the like. Recombination and merger is important strategic initiatives for improving management performance and requires urgently quantitative theoretical and methodological guidance. This project aims to make a deep study of the theory and methodology of recombining and merging enterprises, universities, government organizations, and the like from the perspective of management performance and proposes the relative effect analysis methodology and the multiple criteria decision-making TOPSIS methodology for measuring management performance. The main research contents include: (1) establishing mathematical models and methodologies for maximizing the relative effect of decision-making unit (DMU); (2) creating the multiple criteria decision-making TOPSIS methodology for performance assessment and corresponding weight optimization models; (3) using jointly efficiency evaluation, effect analysis and multiple criteria decision-making TOPSIS methodology for the determination of the DMU or the DMUs that need to be recombined or merged; (4) constructing optimization models for combining or merging the DMU(s) into the other DMUs; (5) evaluating the contribution of the recombination and merger of the DMU(s) to the improvement of management performance; (6) investigating the effects of the uncertainty in input and output data on the recombination and merger behaviour and the resultant models. The research outcomes have important theoretical and practical significance to the development and perfection of performance evaluation and the data envelopment analysis theories and provide guidance theoretically and significantly for recombining and merging enterprises, universities, government organizations, and the like in our country.

现代管理实践中存在大量的重组与合并行为，如企业重组、高校合并、院系合并、政府机构的合并等等。重组与合并是提高管理绩效的重要战略举措，迫切需要科学的定量化的理论和方法指导。本项目从管理绩效角度对企业、高校、政府机构等的合并理论与方法进行研究，并提出度量管理绩效的相对效果方法和多准则决策TOPSIS方法。主要研究内容有：（1）构建最大化决策单元(DMU)相对效果的数学模型与方法；（2）创建用于绩效评价的多准则决策TOPSIS方法和权重优化模型；（3）联合运用效率评价、效果分析和多准则决策TOPSIS方法确定被重组(或被合并)DMU；（4）构建DMU重组或合并的最优化模型；（5）重组与合并对提高管理绩效的贡献度评价；（6）输入输出数据的不确定性对DMU重组与合并行为的影响和模型研究。研究成果对发展和完善绩效评价和数据包络分析理论和指导我国企业、高校、政府机构等的重组与合并有重要的理论和实际意义。

现代管理实践中存在大量的重组与合并行为，如企业重组、高校合并、院系合并、政府机构的合并等等。重组与合并是提高管理绩效的重要战略举措，迫切需要科学的定量化的理论和方法指导。本项目从管理绩效角度对企业、高校、政府机构等的合并理论与方法进行研究，提出度量管理绩效的相对效果方法和多准则决策 TOPSIS 方法，建立绩效评价和合并决策单元的理论、方法与数学模型。在此基础上，本项目根据绩效评价理论的最新研究动态，新增了考虑非期望要素的DEA方法研究、DEA交叉效率评价方法研究、区间DEA方法研究、模糊DEA方法研究、随机DEA方法研究、DEA-Malmquist指数方法研究、DEA方法在信息科学上的拓展研究等研究内容。本项目完成学术论文72篇，其中SCI收录论文21篇（8篇同时被SSCI收录），培养硕博士研究生36人、博士后2人。研究成果对发展和完善绩效评价和数据包络分析理论，指导我国企业、高校、政府机构等的重组与合并有重要的理论和实际意义。