Resource allocation based on the DEA model

The purpose of this paper is to develop an approach to a resource-allocation problem that typically appears in organizations with a centralized decision-making environment, for example, police stations, banks, and universities. The central unit is assumed to be interested in maximizing both the tota...

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Bibliographic Details
Published in:The Journal of the Operational Research Society 2008-08, Vol.59 (8), p.1136-1141
Main Authors: Fang, Lei, Zhang, C-Q
Format: Article
Language:English
Subjects:
Allocative efficiency
Applied sciences
Business and Management
Data envelopment analysis
Decision making
Decision making units
Decision theory. Utility theory
Efficiency
Efficiency decisions
Efficiency metrics
Efficiency objectives
Efficient strategies
Exact sciences and technology
Firm modelling
Input output
Management
Mathematical programming
Mathematics
Modeling
multi-objective programming
Nonparametric inference
Operational research and scientific management
Operational research. Management science
Operations research
Operations Research/Decision Theory
Police
Police stations
Preferences
Probability and statistics
Production functions
Quantum efficiency
Resource allocation
Sciences and techniques of general use
Statistics
Studies
Technical Note
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Summary:The purpose of this paper is to develop an approach to a resource-allocation problem that typically appears in organizations with a centralized decision-making environment, for example, police stations, banks, and universities. The central unit is assumed to be interested in maximizing both the total efficiency and the efficiency of the individual unit by allocating available resources to them. Building upon this, we present a data envelopment analysis-based model for allocating input resources to DMUs (the decision-making units) under the framework of multiple objective programming. Numerical examples are used to illustrate the approach.
ISSN:0160-5682
1476-9360
DOI:10.1057/palgrave.jors.2602435