Multiobjective optimization for modular unit production lines focusing on crew allocation and production performance

Abstract

A flexible production duration is necessary because of the increase in the demand for modular construction; further, the benefits of modular construction, such as reduced duration and labor requirement, are also considered important. Such construction requires various production line design alternatives that consider the benefits with equal priority. To address this issue, a multiobjective optimization model for modular unit production line (MOMUPL) was developed based on a genetic algorithm. To this end, differences between unit production line design and scheduling methods in the manufacturing industry were identified. Then, to rank solutions in optimization processes, the nondominated sorting genetic algorithm II (NSGA-II) was applied to the model. The MOMUPL suggests various optimization results, thereby allowing the project manager to select a solution based on specific project characteristics. Therefore, using MOMUPL, the duration for scheduling is expected to be reduced along with a reduction in project labor cost and duration.