Cost minimizing target setting heuristics for making inefficient decision-making units efficient
Parag C. Pendharkar
International Journal of Production Economics, 2015, vol. 162, issue C, 1-12
Abstract:
A problem of increasing the efficiencies of inefficient decision-making units (DMUs) with known marginal costs of reducing inputs is considered. It is shown that the problem is difficult to solve exactly, and has exponential computational complexity. Two heuristics (Heuristic-I and Heuristic-II) that consider cost minimizing DEA frontier projections for inefficient DMUs are proposed. The proposed heuristics are tested by using several simulated and real-world datasets with linear and Fibonacci marginal input reduction costs. The results of the proposed heuristics are compared with traditional cost insensitive DEA frontier projections, and it is shown that Heuristic-I results in approximately 18–58% lower costs.
Keywords: Data envelopment analysis; Decision support systems; Heuristics; Linear programming (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0925527314004174
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:162:y:2015:i:c:p:1-12
DOI: 10.1016/j.ijpe.2014.12.023
Access Statistics for this article
International Journal of Production Economics is currently edited by Stefan Minner
More articles in International Journal of Production Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().