A Decision-Making Sequencing Model of a Mixed-Model Assembly Line Considering the Leveling of Material and Assembly Switch Cost

Sequence model is one of the most important decision of production plan and control for mixed-model assembly line. This paper firstly according to customs’ demand and lead time divides the products into four categories: core strategic products I, customer-oriented products II, time-oriented products III, ordinary products IV. And then two principles (customers’ demand and material balance) are proposed for every category of product. By using the principle of MPS, two-objective with minimum variations of part usage rate and minimum assembly switch cost sequencing model is given. Finally, the optimal solution set of every categories in a MPS are solved with genetic algorithm (GA), so that decision-making method is clear offered on mixed-model assembly line sequencing problem when with different preference and in structure characteristics of demand. The results show that two-objectives sequencing model above outperforms good shown as four parameters with work-in-process inventory, rate of material balance, assembly switch cost, lead time, etc.