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Integrating Theory and Methods for Operational Performance Assessment

整合运营绩效评估的理论和方法

基本信息

批准号：
0400187
负责人：
Leon McGinnis
金额：
$ 10万
依托单位：
Georgia Tech Research Corporation
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2004
资助国家：
美国
起止时间：
2004-09-01 至 2007-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0400187&HistoricalAwards=false
关键词：
Integrating Theory Methods Operational Performance

项目摘要

This grant supports research on innovative approaches to assessing relative efficiency of industrial operations and identifying best practices. The assessment approach simultaneously considers all the important resources consumed and all the important products or services produced, in an analysis of a single operation compared to the best practical performance estimated from a large sample of similar operations. The method is based on economic production theory and requires careful specification of the resources and products common to all operations in an industry segment. The benchmarking approach utilizes the relative efficiency assessments of a large sample of operations, along with their potential explanatory attributes. The benchmarking method looks for statistical correlations between attributes and relative efficiencies, and requires both careful specification of the explanatory attributes and application of statistical methods. Both assessment and benchmarking methods will be deployed for experimentation using readily available internet technologies, and a focused case study will be performed for publishing warehouses.If successful, the immediate practical impact is to provide firms in an industry a fast and economical method to determine their overall efficiency relative to other firms in their industry, and also to identify "best practices" within their industry. In the case of warehousing, for example, preliminary results show an average relative efficiency of only 73 percent in an industry accounting for 2.5 percent of GDP. If a broader deployment of best practices could improve the industry relative efficiency to only 80 percent, the potential savings approaches $25 billion per year. The theoretical impacts take several forms. First is the creation of a unique data resource upon which a better understanding of operational modeling can be developed. In the case of warehousing, such a model would begin to associate specific practices with specific types of warehouse requirements. The research also will contribute to the tools and methods for economic analysis of performance.

该赠款支持研究创新方法，以评估工业运营的相对效率和确定最佳做法。评估方法同时考虑到消耗的所有重要资源和生产的所有重要产品或服务，在分析单一业务时，将其与从大量类似业务样本中估计的最佳实际业绩进行比较。该方法以经济生产理论为基础，需要仔细说明一个行业部门所有业务共有的资源和产品。基准方法利用大样本业务的相对效率评估，沿着其潜在的解释属性。基准方法寻找属性和相对效率之间的统计相关性，并要求仔细说明解释性属性和应用统计方法。评估和基准测试方法将使用现成的互联网技术进行实验，并将对出版仓库进行有针对性的案例研究。如果成功，直接的实际影响是为行业中的公司提供一种快速、经济的方法来确定其相对于行业内其他公司的整体效率，并确定其行业内的“最佳实践”。以仓储业为例，初步结果显示，在一个占国内生产总值2.5%的行业中，平均相对效率仅为73%。如果更广泛地部署最佳实践可以将行业的相对效率提高到80%，那么每年可能节省的费用接近250亿美元。理论上的影响有几种形式。首先是创建一个独特的数据资源，在此基础上可以更好地理解操作建模。在仓储的情况下，这样的模型将开始将特定的实践与特定类型的仓库需求联系起来。本研究也将有助于绩效经济分析的工具和方法。