Cost minimizing target setting heuristics for making inefficient decision-making units efficient-Reference-Cited by-同舟云学术

Cost minimizing target setting heuristics for making inefficient decision-making units efficient

Published:2015-04 Issue: Volume:162 Page:1-12
ISSN:0925-5273
Container-title:International Journal of Production Economics
language:en
Short-container-title:International Journal of Production Economics

Author:

Pendharkar Parag C.

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Economics and Econometrics,General Business, Management and Accounting

Reference18 articles.

1. Improving the discrimination power and weights dispersion in the data envelopment analysis;Bal;Comput. Oper. Res.,2010

2. Some models for estimating technical and scale inefficiencies in data envelopment analysis;Banker;Manag. Sci.,1984

3. Parallel and hierarchical decomposition approaches for solving large-scale data envelopment analysis models;Barr;Ann. Oper. Res.,1997

4. Allocating fixed costs and resources via data envelopment analysis;Beasley;Eur. J. Oper. Res.,2003

5. Measuring the efficiency of decision making units;Charnes;Eur. J. Oper. Res.,1978

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