NEW APPROACHES FOR RESOURCE ALLOCATION VIA DEA MODELS

Jie Wu () and Qingxian An ()
Additional contact information
Jie Wu: School of Management, University of Science and Technology of China, He Fei 230026, An Hui Province, P. R. China
Qingxian An: School of Management, University of Science and Technology of China, He Fei 230026, An Hui Province, P. R. China

International Journal of Information Technology & Decision Making (IJITDM), 2012, vol. 11, issue 01, 103-117

Abstract: This paper focuses on the problem of resource allocation through data envelopment analysis. We propose three integrated models for allocating resources. The first model aims at minimizing the input consumption, the second one aims at maximizing the total outputs within the current resources, and the last one aims at maximizing the total outputs using the predicted resources in the next production season. Since the number of inputs or outputs is usually more than one, the abovementioned issue is often a multiple objective linear programming (MOLP) problem. Through the proportion of inputs (outputs) of new decision making unit (DMU) to the total inputs (outputs) of all old DMUs, we transform the MOLP problem into a single objective linear programming model. We assume that decision maker must ensure that the expected outputs of each DMU after allocation in the next production season are not less than this production season. All these proposed models have the same advantage that the results gained from the models are Pareto efficient. A numerical example of 25 supermarkets is used to illustrate our proposed approach.

Keywords: Resource allocation; DEA; MOLP; efficiency; Pareto efficient (search for similar items in EconPapers)
Date: 2012
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219622012500058
Access to full text is restricted to subscribers

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:wsi:ijitdm:v:11:y:2012:i:01:n:s0219622012500058

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219622012500058

Access Statistics for this article

International Journal of Information Technology & Decision Making (IJITDM) is currently edited by Yong Shi

More articles in International Journal of Information Technology & Decision Making (IJITDM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().