| To deal with diversified requirements of the customers for automobiles,personalized customization services have become important means to improve the competitiveness of enterprises.It is of great significance for improve production efficiency to reasonably arrange various types of automobiles to be produced on the automobiles multi-stage production line.Automobile production involves the close cooperation of multi-process workshop such as welding workshop,painting workshop,and assembly workshop.Different process workshops have different requirements for the production sequence of automobiles.Therefore,the collaborative optimization of multi-process workshops for automobile sequencing with considering the different requirements of multi-process workshop for the production sequence collaboratively is a problem that needs to be further studied.In this paper,the research on the collaborative sequencing optimization method of the automobile multi-stage production line is studied to improve the collaborative production capacity of different process workshops.Firstly,to satisfy the requirements of automobile sequence in different processes of automobile production line,the different sequencing objectives of welding workshop,painting workshop and assembly workshops for automobile orders are analyzed.And the necessity of collaborative sequencing for multi-process workshops is further analyzed.At the same time,the process of inbound and outbound for the linear buffer is analyzed.Secondly,a collaborative sequencing optimization method considering the sequencing cost of buffers for automobile multi-stage production line is researched.Based on considering the traditional optimization objectives such as the number of model changes in welding workshop,the number of color changes in painting workshop,the total overload and idle time of the assembly workshop,and the balance of material consumption in the assembly workshop.the sequencing cost of buffers is established,and the collaborative sequencing optimization model for automobile production line is established.And a NSGA-III based on inbound and outbound rules is used to optimize the model.Then,the dynamic collaborative resequencing optimization method of automobile multi-stage production lines is studied considering rush orders.When rush orders arrivals,collaborative dynamic resequencing strategies are made for automobiles in different production stages.The dynamic collaborative resequencing optimization model of the automobile multi-stage production line is established with the production cost and the order delivery delay as the optimization objectives,and a two-stage MOPSO algorithm is designed to optimize the model.Finally,taking the automobile multi-stage production line of a company in Chongqing as an example,the collaborative sequencing optimization method of automobile multi-stage production line and the dynamic collaborative resequencing optimization method of automobile multi-stage production line considering rush orders are respectively applied.The effectiveness of the proposed method is verified through the comparative analysis of different sequencing schemes. |
