Modeling Performance Measurement in Organizations

业绩衡量和基准制定是我们经济制度的重要基础，特别是加拿大庞大的服务部门。银行、医院、学校和快餐店只是一些可以从基准和效率评估中受益的组织的例子。通过拥有有效的工具来衡量任何组织相对于同行或竞争对手的业绩，该组织可以更好地了解其目前状况与潜力之间可能存在的任何差距。拟议的研究旨在开发决策支持工具，建模性能和确定组织中的最佳实践。将使用的模型结构是数据分析，它福尔斯更广泛的一套多标准决策方法。DEA的研究已经跨越了三十年，提出的研究计划检查的过程中出现的一些重大问题，应用DEA的真实的世界problems.A当前研究的一个重要领域是供应链管理。拥有分析供应链的手段，并在供应商及其相关供应链之间进行绩效比较，现在已经成为“盈利”和“非盈利”环境中的必需品。DEA方法有潜力成为这里的一种选择工具，但目前的形式还不够强大，无法提供所需的详细分析。拟议的研究的主要部分集中在解决DEA方法中的一些缺点。

Performance measurement and benchmarking are important underpinnings of our economic system, particularly the large Canadian service sector. Banks, hospitals, schools, and fast food restaurants are but a few examples of organizations that can benefit from benchmarking and efficiency evaluation. By having effective tools for measuring the performance of any organization relative to its peers or competitors, that organization can have a better understanding of any gaps that may exist between where it currently stands and where its potential lies. The proposed research is aimed at developing decision support tools for modeling performance and identifying best practice in organizations. The model structure to be used is data envelopment analysis (DEA), which falls within the broader set of multiple criteria decision-making methodologies. DEA research has spanned three decades; the proposed research program examines some of the major issues that have arisen in the process of applying DEA to real world problems.An important area of current research is supply chain management. Having the means for analyzing supply chains and making performance comparisons between vendors and their associated supply chains, is now becoming a must in both 'for profit' and 'not for profit' settings. The DEA methodology has the potential to become a tool of choice here, but is not robust enough in its current form to provide the detailed analysis needed. A major portion of the proposed research focuses on addressing some of these shortcomings in the DEA methodology.