Assembly plays an important role in the production. With diversification of user needs and intensification of market competition, multi-product mixed-model assembly line has been widely used at the stage of final assembly in many enterprises. The characteristic of multi-constraint existing in the line makes it very difficult for planning and scheduling, which manual planning can't satisfy. Therefore, how to make a feasible plan rapidly becomes the focus among enterprise managers. Thus, research on planning and scheduling system for mixed-model line oriented agile final assembly is developed in the paper, with important theoretical meaning and engineering practical value.With considering the demands of the large-scale enterprise in Nanjing,and discussing the characteristics of multi-constraint, for example, conditions of available materials, work places, fixed equipments, mobile equipments, key work types and difference among varieties, this paper does research on planning and scheduling for mixed-model line oriented agile final assembly. And the prototype system has been developed. Main work has been done as follows:(1)After making a summary of the inadequacies of existing models and considering of the actual need, the model of planning and scheduling system for mixed-model line oriented agile final assembly has been established, which includes both task distribution and production sequence, with minimization of the final assembly time as its optimized object.(2)After making a summary of the inadequacies of current algorithms to the problem and combining the model need, Collaborative Optimization based on Genetic Algorithm(GA) is put forward. And some modifications have been made on the present GA to overcome the shortcoming of premature convergence and improve efficiency. The results has proved that the improved algorithm is good for planning and scheduling.(3) Based on the above study, the prototype system has been developed by using of Access as database and Java as language. It can realize the fuctions of reasonable task distribution and production sequence, which can make a feasible production plan rapidly and allocate limited resourses effectively. So, it can provide a scientific basis for the management of planning and scheduling for mixed-model line oriented agile final assembly. |