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 sector, which is an essential strategy drive economic growth. Planning for location factories within estate, however, becomes complex, given various types plants and requirements utilities operations park. this research, we model analyze bi-objective optimization locating estate by considering economic- risk-based cost objectives. Whereas objectives are associated with utility distances between plant locations, surrogate criterion derived from safety considerations. Next, data further generated Areal Locations Hazardous Atmospheres (ALOHA), hazard modeling program, solutions obtained Epsilon-constraint algorithm. Finally, applied regional case study in Thailand Pareto frontier evaluated demonstrate trade-off