Extending the Bases and Improving the Uses of Data Envelopment Analysis

本项目的总体目的是扩展以前在数据包络分析（DEA）方面的工作，DEA是一种分析和评估具有多个输出和多个输入的组织单位的相对效率和有效性的方法。拟议的工作建立在两位主要研究人员先前对DEA的理论和方法工作的基础上。这项研究将通过解决与半无限规划、时间序列分析、包络图和锥比分析相关的重要理论、方法和应用问题来扩展这项工作。此外，该建议还包括为一个讲习班提供资金，目的是评估DEA的知识状况和确定基础研究和应用研究的未来方向。尽管分析和评价组织效率和有效性的方法很重要，但传统方法在表示和测量影响组织效率和有效性的复杂因素方面提供的手段并不充分。这个创新的项目将使用新的和强大的数学规划方法——数据包络分析——来解决这个问题。人们期望开发分析组织效率和有效性的方法。该项目还将为对提高公共和私营部门的组织效率和效力感兴趣的分析人员和决策者提供重要资料。主要研究人员是经验丰富的研究人员，他们对运筹学和管理科学的文献做出了许多重要贡献。

The overall purpose of this project is to extend previous work on Data Envelopment Analysis (DEA)--a method for analyzing and evaluating the relative efficiency and effectiveness of organizational units with multiple outputs and multiple inputs. The proposed work builds on previous theoretical nd methodological work on DEA by the two principal investigators. This research will extend this work by addressing important theoretical, methodological, and applied issues related to the use of semi-infinite programming, times series analysis, envelopment maps, and cone ratio analysis. In addition, the proposal includes funds for a workshop aimed at assessing the state of knowledge in DEA and identifying future directions for basic and applied research. Despite the importance of methods for analyzing and evaluating organizational efficiency and effectiveness, conventional methods provide an inadequate means for representing and measuring the complex factors that affect efficiency and effectiveness in organizations. This innovative project will use anew and powerful mathematical programming methodology--Data Envelopment Analysis--to address this issue. It is expected to the development of methods for analyzing organizational efficiency and effectiveness. The project will also provide important information for both analysts and decision makers interested in improving organizational efficiency and effectiveness in the public and private sector. The principal investigators are highly experienced researchers who have made numerous important contributions to the literature on operations research and management science.