Optimization Model for Industrial Estate Planning under Safety Criterion

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Kasin Ransikarbum
Niroot Wattanasaeng


Many countries, nowadays, had established industrial estates with an aim to operate industrial activities and support the growing industrial sector. In addition, an increasing trend of new industrial estates is arising to support economics and business expansion. However, studies that focus on planning for industrial estates are scarce. In addition, existing studies only cover the cost criterion. In this study, we propose the Mixed-Integer Linear Programming (MILP) model to determine the location of factory plants in an industrial estate with a focus on the safety criterion. The model classifies two types of industrial plants, which are hazardous-material factory and general-type factory. In order to incorporate the safety factor, the model considers the risk and severity in an emergency case simulated using the Areal Locations of Hazardous Atmospheres (ALOHA) program. The simulation results are used as input for the developed MILP model. The results show that location of most industrial plants are located at the outer area of the industrial estate, which are scatteringly located around the industrial estate, given a consideration of the high-risk areas in an emergency situation. Although there are a few areas of high risk chosen for plant assignments, these areas are relatively small in size, allowing minimal impact. The integrated mathematical and simulation model in this research can be further used as a tool to support other design decisions for industrial locations and related locational studies.


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Ransikarbum, K., & Wattanasaeng, N. . (2021). Optimization Model for Industrial Estate Planning under Safety Criterion. Naresuan University Engineering Journal, 16(1), 81–93. https://doi.org/10.14456/nuej.2021.9
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