Centralized resource allocation BCC models

Mette Asmild

doi:10.1016/j.omega.2006.07.006

Centralized resource allocation BCC models

2009-02-01

150

PRE

AI

DOI：10.1016/j.omega.2006.07.006

原文链接

原文求助

摘要

En 中文

In two recent papers, Lozano and Villa [Centralized resource allocation using data envelopment analysis. Journal of Productivity Analysis 2004;22:143-61. [1]] and Lozano et al. [Centralized target setting for regional recycling operations using DEA. OMEGA 2004;32:101-10. [2]] introduce the concept of centralized data envelopment analysis (DEA) models, which aim at optimizing the combined resource consumption by all units in an organization rather than considering the consumption by each unit separately. This is particularly relevant for situations where some variables are controlled by a central authority (e.g. Head Office) rather than individual unit managers. In this paper we reconsider one of the centralized models proposed by the above-mentioned authors and suggest modifying it to only consider adjustments of previously inefficient units. We show how this new model formulation relate to a standard DEA model, namely as the analysis of the mean inefficient point. We also provide a procedure that can be used to generate alternative optimal solutions, enabling a decision maker to search through alternate solution possibilities in order to select the preferred one. We then extend the model to incorporate non-transferable as well as strictly non-discretionary variables and illustrate the models using an empirical example of a public service organization. (C) 2006 Elsevier Ltd. All rights reserved.

Keyword:

DEA

allocation

efficiency

LP

mathematical prorgamming

operations research/OR

resource management

Centralized resource allocation BCC models

摘要

AI总结

期刊

机构