نتایج جستجو برای: dea target setting common benchmarking reference hyperplane sequential targets
تعداد نتایج: 1698458 فیلتر نتایج به سال:
The common weights approach is one of the most prominent methods to further prioritize the subset of DEA efficient units. This approach can be modeled as a multiobjective problem, where one seeks for a common set of weights that locates the efficiency ratio of each unit as close as possible to the target score of 1. In such a setting, different metrics can be applied to measure the distance of ...
Competitive advantage is more and more determined by the ability to respond to customer requirements. Research has shown that a well-organised supply chain that can meet these requirements is crucial to firm performance (2006; Ramdas & Spekman 2000; Spekman et al. 1998). Top performance in supply chain management will result into success at the organisational level (Green Jr et al. 2008). More ...
We present an any-time performance assessment for benchmarking numerical optimization algorithms in a black-box scenario, applied within the COCO benchmarking platform. The performance assessment is based on runtimes measured in number of objective function evaluations to reach one or several quality indicator target values. We argue that runtime is the only available measure with a generic, me...
Introduction: Performance measurement, programming and goal setting for performance improvement are needed for organizations to improve their performance. Despite advancement in performance measurement systems, many organizations still emphasize on old models. Methods: This paper analyzes the efficiency of Yazd governmental hospitals by using DEA model from 2004 to 2006. The inputs in DEA...
In this paper, we address several issues related to the use of data envelopment analysis (DEA). These issues include model orientation, input and output selection/definition, the use of mixed and raw data, and the number of inputs and outputs to use versus the number of decision making units (DMUs). We believe that within the DEA community, researchers, practitioners, and reviewers may have con...
Technique of Data Envelopment Analysis (DEA) involves methods conducted for desirable objective management of Decision Making Unit (DMU) that is same increasing of efficiency level. Data envelopment analysis furthermore determines the efficiency level, provides situation, removes inefficiency with evaluated benchmarking information. In this paper the use of the improvement Least-Distance me...
We discuss the design of interactive, internet based benchmarking using parametric (statistical) as well as non-parametric (DEA) models. The user receives benchmarks and improvement potentials. The user is also given the possibility to search different efficiency frontiers and hereby to explore alternative improvement strategies. An implementation of both a parametric and a non parametric model...
Abstract The objective of this work is to use multiple Data Envelopment Analysis (DEA)/Benefit the Doubt (BoD) approaches for readjustment and exploitation Human Development Index (HDI). HDI leading indicator vision “development as freedom”; it a Composite Index, wherein three dimensions (income, health, education), represented by four indicators, are aggregated. DEA-BoD used in were: tradition...
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