关键词: 混流装配线, 投产排序, 物料平准化, 换装成本

Abstract: To optimize the production planning for mixed-model assembly line,a bi-objective sequencing decision model was offered by considering the material leveling and assembly switch cost.Production classifying method based on customs order's demand and lead time was proposed to identify their sequence priority.Bi-objective sequencing decision model with minimum variations of part usage rate and assembly switch cost was given by integrating the principle of Minimal Production Set (MPS),goal chasing algorithm and product family design.The optimal solution set for each category in MPS was solved with Genetic Algorithm (GA).The impacts of factors such as leveling of material,product family,assembly switch cost and customer demand on production planning was reflected,and the key performance indictors of production planning was also enhanced.

Key words: mixed-model assembly line, sequencing, leveling of material, assembly switch cost