Zhaoxia Guo and Yang Can
Accepted Abstracts: Ind Eng Manage
This paper addresses a multi-objective multi-site order planning problem in make-to-order manufacturing environments, which considers various real-world features such as production uncertainties and learning effects. A novel harmony search-based multi-objective optimization model is developed to tackle this problem. A series of experiments are conducted to evaluate the effectiveness of the proposed model based on real industrial data. Results demonstrate that (1) the proposed model can solve the investigated problem effectively; (2) the HSPO process can generate the optimization performance superior to those generated by a multi-objective genetic algorithm (NSGA-II)-based process.
Industrial Engineering & Management received 739 citations as per Google Scholar report