Extending the Bases and Improving the Uses of Data Envelopment Analysis

扩展数据包络分析的基础并改进其用途

• 批准号: 8722504
• 负责人: A. Charnes
• 金额: $ 27.14万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-05-01 至 1991-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8722504&HistoricalAwards=false
• 关键词: Extending; Bases; Improving; Uses; Data

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.

本项目的总体目的是扩展先前关于数据包络分析(DEA)的工作--一种分析和评价具有多个产出和多个投入的组织单位的相对效率和效力的方法。拟议的工作建立在两位主要研究人员先前关于DEA的理论和方法工作的基础上。这项研究将通过解决与使用半无限规划、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，该提案还包括为一次讲习班提供资金，该讲习班旨在评估毒品和犯罪问题办公室的知识状况，并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，但传统方法不足以表示和衡量影响组织效率和有效性的复杂因素。这一创新项目将使用一种新的、强大的数学规划方法--数据包络分析--来解决这一问题。期望开发出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员和决策者提供重要信息。首席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。