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

Department of Industrial Engineering, Ubon Ratchathani University, Ubon Ratchathani 34190, Thailand
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Academic Editor: Anna T. Lawniczak
Computation 2021, 9(4), 46; https://doi.org/10.3390/computation9040046
Received: 12 February 2021 / Revised: 10 March 2021 / Accepted: 26 March 2021 / Published: 14 April 2021
(This article belongs to the Section Computational Engineering)
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. View Full-Text
Keywords: industrial plant location; bi-objective optimization; Epsilon-constraint algorithm; ALOHA simulation; industrial estate industrial plant location; bi-objective optimization; Epsilon-constraint algorithm; ALOHA simulation; industrial estate
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MDPI and ACS Style

Wattanasaeng, N.; Ransikarbum, K. Model and Analysis of Economic- and Risk-Based Objective Optimization Problem for Plant Location within Industrial Estates Using Epsilon-Constraint Algorithms. Computation 2021, 9, 46. https://doi.org/10.3390/computation9040046

AMA Style

Wattanasaeng N, Ransikarbum K. Model and Analysis of Economic- and Risk-Based Objective Optimization Problem for Plant Location within Industrial Estates Using Epsilon-Constraint Algorithms. Computation. 2021; 9(4):46. https://doi.org/10.3390/computation9040046

Chicago/Turabian Style

Wattanasaeng, Niroot, and Kasin Ransikarbum. 2021. "Model and Analysis of Economic- and Risk-Based Objective Optimization Problem for Plant Location within Industrial Estates Using Epsilon-Constraint Algorithms" Computation 9, no. 4: 46. https://doi.org/10.3390/computation9040046

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