Fernando Borrás , José L. Ruiz , Inmaculada Sirvent
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引用次数: 0
摘要
将对合适同行的偏好纳入基准分析可确保设定适当的目标,从而设计出与管理层一致的绩效改进计划。本文论述了在决策者(DMs)已经为特定组织的标杆分析选择了同行候选者的情况下的目标设定问题。第一种方法是在传统的数据包络分析(DEA)框架内开发的,该技术主要用于非参数前沿分析。它从由同行候选者组成的参考集中提供目标,这些候选者跨越了生产可能性集(PPS)的强有效前沿的一个面。这些目标是通过求解类似于 DEA 的模型得出的,因此无需识别 DEA 边界的所有最大有效面 (MEF)。我们还提出了第二种方法,即在某种程度上放宽 DEA 中的凸性,以额外允许由具有帕累托效率的候选方案组成的参考集,前提是它们的凸壳不被其他单元所支配。从这个意义上说,找到的目标可以被视为代表最佳实践。这种方法拓宽了计划改进时的备选方案范围,并可能最终提供更接近的目标。
Planning improvements through data envelopment analysis (DEA) benchmarking based on a selection of peers
Incorporating preferences on suitable peers into benchmarking analyses may ensure the setting of appropriate targets, which enable designing plans for improving performance that are aligned with management. This paper deals with target setting in situations where decision makers (DMs) have previously made a selection of peer candidates for the benchmarking of a given organization. A first approach is developed within the framework of conventional Data Envelopment Analysis (DEA), which is the technology mostly used in non-parametric frontier analysis. It provides targets from reference sets consisting of peer candidates that span a face of the strong efficient frontier of the production possibility set (PPS). These targets result from solving a DEA-like model, thus preventing from the need to identify all of the maximal efficient faces (MEFs) of the DEA frontier. We also propose a second approach where the convexity in DEA is somehow relaxed to allow additionally for reference sets consisting of candidates that are Pareto-efficient, provided that their convex hull is not dominated by other units. In that sense, the targets found can be seen as representing best practices. This approach broadens the range of alternatives when planning improvements, and may eventually provide closer targets.
期刊介绍:
Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry.
Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution.
Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.