Multiple Objective Analysis of Input-Output Models for Emergency Management

This paper shows how a visual, interactive, dynamic multiple objective linear programming decision support system can effectively be used for analyzing input-output models. We have applied our approach to studying the quantitative effects of economic or political crises to the Finnish economy. Examp...

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Vydáno v:Operations research Ročník 38; číslo 2; s. 193 - 201
Hlavní autoři: Kananen, Ilkka, Korhonen, Pekka, Wallenius, Jyrki, Wallenius, Hannele
Médium: Journal Article
Jazyk:angličtina
Vydáno: Linthicum, MD INFORMS 01.03.1990
Operations Research Society of America
Institute for Operations Research and the Management Sciences
Témata:
Applied economics
Applied sciences
decision analysis: multiple criteria
Decision support systems
Economic crises
Economic modeling
economics: input–output analysis
Emergency management
Energy economics
Energy value
Exact sciences and technology
Imports
Input output analysis
Input output models
Linear programming
Management of crises
Management science
Mathematical models
Mathematical programming
Operational research and scientific management
Operational research. Management science
OR Practice
Statistical analysis
Studies
Finland
Linear programming
Dynamic programming
Pareto optimum
Economic sector
Multiobjective programming
Input output model
ISSN:0030-364X, 1526-5463
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Shrnutí:This paper shows how a visual, interactive, dynamic multiple objective linear programming decision support system can effectively be used for analyzing input-output models. We have applied our approach to studying the quantitative effects of economic or political crises to the Finnish economy. Examples of such crises are nuclear power plant accidents, trade embargoes, and international conflicts. An input-output model of the Finnish economy with 17 industries (sectors) is employed. Our system has been implemented on a microcomputer and is being used by the National Board of Economic Defense. Several typical case situations are discussed.
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ISSN:0030-364X
1526-5463
DOI:10.1287/opre.38.2.193