Model and Analysis of Economic- and Risk-Based Objective Optimization Problem for Plant Location within Industrial Estates Using Epsilon-Constraint Algorithms

In many countries, a number of industrial estates have been established to support the growth of the industrial sector, which is an essential strategy to drive economic growth. Planning for the location of industrial factories within an industrial estate, however, becomes complex, given the various...

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Veröffentlicht in:Computation Jg. 9; H. 4; S. 46
Hauptverfasser: Wattanasaeng, Niroot, Ransikarbum, Kasin
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.04.2021
Schlagworte:
Algorithms
ALOHA simulation
Atmospheric models
bi-objective optimization
Case studies
Chemical plants
Constraint modelling
Construction costs
Decision making
Economic analysis
Economic development
Economic models
Epsilon-constraint algorithm
Estate planning
Explosions
Factories
industrial estate
Industrial parks
industrial plant location
Industrial plants
Industrial production
Linear programming
Literature reviews
Manufacturing
Mathematical models
Objectives
Optimization
Optimization techniques
Production planning
Utilities
Thailand
ISSN:2079-3197, 2079-3197
Online-Zugang:Volltext
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Zusammenfassung:In many countries, a number of industrial estates have been established to support the growth of the industrial sector, which is an essential strategy to drive economic growth. Planning for the location of industrial factories within an industrial estate, however, becomes complex, given the various types of industrial plants and the requirements of utilities to support operations within an industrial park. In this research, we model and analyze bi-objective optimization for locating plants within an industrial estate by considering economic- and risk-based cost objectives. Whereas economic objectives are associated with utility distances between plant locations, risk-based cost is a surrogate criterion derived from safety considerations. Next, risk-based data are further generated from Areal Locations of Hazardous Atmospheres (ALOHA), the hazard modeling program, and solutions to the bi-objective model are obtained from the Epsilon-constraint algorithm. Finally, the model is applied to a regional case study in a Thailand industrial estate, and the Pareto frontier is evaluated to demonstrate the trade-off between objectives.
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ISSN:2079-3197
2079-3197
DOI:10.3390/computation9040046