A multi-objective optimization method for industrial park layout design: The trade-off between economy and safety

Abstract

The general layout design significantly impacts the economy and safety performance of an industrial park. In most of the previous works, safety issues are converted to economic numbers in objective functions. However, this conversion is not appropriate. In this work, a multi-objective optimization method is proposed to obtain a set of solutions that achieves different trade-offs between economy and safety. An improved FLUTE algorithm is employed to obtain the most economical pipe networks. An extended risk map method is proposed to describe the distribution of risk considering the uncertainty of weather conditions. The proposed model is compared with a single-objective method in one case study to show the superiority of the proposed method. In addition, three different evolutionary algorithms are employed to solve a second case for comparison. The results show that the non-dominated sorting genetic algorithm II (NSGA-II) is more effective for industrial facility layout problems with multi-objective.