Research On The Assembly Process Management And Control Technology For Complex Products

The assembly of complex products,such as satellites,missiles,and rockets,has the characteristics of manual assembly,single and batch production in parallel,and emphasis on traceability.There are a variety of information transfer,resource coordination,and production disturbances in the assembly process.How to achieve the management and control of the assembly process has always been a difficult issue in the project.Based on the actual requirements,this paper systematically studies the management and control techniques for the complex product assembly process,and develops a software system to validate the proposed techniques and methods.The main research achievements are summarized as follows:(1)The background of the management and control for complex product assembly process is introduced.The research status of related technologies such as assembly process data acquisition and management,production scheduling,product data package generation and digital twin are summarized.On this basis,the current existing problems are analyzed.(2)The assembly business process of complex products is analyzed,and the connotation of the assembly process management and control is illustrated.On this basis,the implementation process and technical framework are constructed,and the key technologies are clearly clarified.(3)An assembly process data acquisition and management model based on workflow and daily plan is constructed.It can achieve timely,accurate and comprehensive data acquisition and management.A dynamic material tracking and management approach based on process and barcode is also proposed,which achieves the traceability of material information for complex aerospace products such as satellites and missiles.(4)An improved discrete krill herd algorithm(IDKH)is proposed to minimize the total assembly time for a complex product assembly scheduling problem.The conversion between the krill individual and its corresponding scheduling solution is achieved using permutation-based encoding approach and improved heuristic-based decoding method.A local search and a restart strategy are added to enhance the exploitation and exploration capabilities of the krill herd algorithm.The parameters of the proposed algorithm are calibrated by means of orthogonal experiments.Finally,the comparison results with other well-known algorithms indicate the proposed algorithm is efficient and steady.(5)A method for generating the complex product assembly data package based on Bills of Materials(BOM)and workflow is proposed.The dynamic evolution process of product assembly data is analyzed.Some key techniques are illustrated in detail,which are product assembly data organization and version association based on workflow,and hierarchical management of product assembly data based on BOM.On this basis,a product assembly data package generation algorithm is implemented.(6)A digital twin-based smart management and control method for complex product assembly shop-floors is proposed and a corresponding implementation framework is constructed.Three key technologies are detail elaborated,including the construction of the assembly shop-floor digital twin,digital twin and big data-driven prediction of the assembly shop-floor,and digital twin-based assembly shop-floor management and control services.The proposed approach provides a novel and feasible solution for the smart management and control of complex product assembly processes.(7)Based on the above research results,a complex product assembly process management and control system is independently designed and developed to verify the efficiency of presented techniques.The developed system is successfully testified in some aerospace-related assembly enterprises and satisfactory results were obtained.Finally,a summary is given and the future research work is also discussed.