Resource Allocation Based on Efficiency Analysis

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, supermarket chains, banks, and universities. The central unit is assumed to be interested in maximizing the total...

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Vydáno v:Management science Ročník 50; číslo 8; s. 1134 - 1144
Hlavní autoři: Korhonen, Pekka, Syrjanen, Mikko
Médium: Journal Article
Jazyk:angličtina
Vydáno: Linthicum INFORMS 01.08.2004
Institute for Operations Research and the Management Sciences
Edice:Management Science
Témata:
Ability
Allocative efficiency
Banking
Business studies
Data analysis
Data envelopment analysis
Datasets
Decision making
Efficiency
Efficiency decisions
frontier analysis
Input output
Linear programming
Management
Management science
Marginal productivity
Mathematical programming
Modeling
multiple-objective linear programming
Production
Production efficiency
Production possibilities
Resource allocation
Studies
Supermarkets
United States
United States > US
ISSN:0025-1909, 1526-5501
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Shrnutí: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, supermarket chains, banks, and universities. The central unit is assumed to be interested in maximizing the total amount of outputs produced by the individual units by allocating available resources to them. We will develop an interactive formal approach based on data envelopment analysis (DEA) and multiple-objective linear programming (MOLP) to find the most preferred allocation plan. The units are assumed to be able to modify their production in the current production possibility set within certain assumptions. Various assumptions are considered concerning returns to scale and the ability of each unit to modify its production plan. Numerical examples are used to illustrate the approach.
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ISSN:0025-1909
1526-5501
DOI:10.1287/mnsc.1040.0244