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

摘要： 为优化生产计划,考虑物料平准化和换装成本,提出双目标混流装配线投产排序决策模型。给出了基于客户重要性程度和交货提前期的产品类别细分方法,综合最小生产循环原理、目标追踪法和产品部件组件差异,建立了物料消耗方差和换装成本最小化的双目标投产排序决策模型,用遗传算法求解获得了投产排序最优解集。该模型体现了物料供应平准化、产品族、换装成本和顾客需求等因素对生产计划的影响,改善了生产计划观测指标,从而验证了模型的有效性。

关键词: 混流装配线, 投产排序, 物料平准化, 换装成本