Parallel Injection Molding Machine Scheduling by Considering Parameter Process Conservation

摘要

This paper proposes the efficient scheduling model in the plastic injection molding company with a parallel machine and multiple products. The variety of plastic part products are increased rapidly. The variety of the plastic part will lead the different parameter setting complexity that faced the company with multiple product and multiple machines. On the one hand, previous studies have focused on the methodology for optimizing the parameter process, while the others, and have focused on the scheduling problem. Unfortunately, there has been no effort to formulate the scheduling model for parallel injection molding machines by considering optimum parameter setting conservation to minimize setup and idle time. The setup and idle time during product changeover, are known as an important factor to arrange an optimum production schedule. Therefore, our proposed model considers the conservation of the setup parameter influences the efficiency of the machines setup. We examine the degree of parameter conservation based on product characteristic similarity. Moreover, for handling the multiple products to a parallel machine, we consider the production sequence and product changeover in machines assignment. The more similar product in the production sequence changeover, will have a higher degree of the conservation and reach the optimum setting parameter faster. In our model, we also consider the previous works are accumulated in the learning process.