Research On The Cooperative Method Of Assembly And Machining Operation For Blowing Machine Manufacturing

With the aggravation of market competition and the increase of customer product-needed individuation, agile production management mode in blowing machine manufacturing enterprises has been brought new challenges. To establish to bottle blowing machine manufacturing characteristics of the production planning and control system, it has important practical significance for bottle blowing machine to improve the on-time delivery rate and reduce the manufacturing cost, and assembly and machining of collaborative production is the key to achieve this goal. Therefore, this paper mainly studies the establishment of collaborative production planning system to adapt to the dynamic manufacturing workshop production characteristics of blowing molding machine. The main four parts of this paper are following:Firstly, a manufacturing workshop dynamic collaborative planning system was constructed to meet the material kitting demand as the goal. Based on the analysis of bottle blowing machine production process, it establishes including production planning, process monitoring and dynamic coordination control system of multilayer frame structure collaborative planning.Secondly, the model of collaborative scheduling problem for assembly and machining is established, and the corresponding improved artificial bee colony algorithm is constructed respectively. On the basis of analyzing the characteristics of the assembly process of the blowing machine, it is concluded blowing machine assembly program is a complex manual operation arrangements, involving member assembly and the machine is installed in two phases, with significant learning when similar models volume assembly effect. Firstly, considering the characteristics of assembly processing of blow molding machine, an assembly jobs partitioning method that taking into account the association in components assembly and in the order of components installing is proposed. Secondly, the optimization model is established to minimize the weighted tardiness quantity, and its outstanding characteristic is that by changing the weight coefficients to consider the real demands of orders batch delivery. Then an improved artificial bee colony algorithm is constructed to solve the problem. Finally, cases are studied according to real-life enterprise, and the practicability and adaptability of the proposed method are verified. From the bottle blowing machine throughout the manufacturing process, machining unit production unit is ready for assembly, and the finished product is assembled materials. In order to ensure the smooth implementation of assembly plan, it must be based on the demand of the material to arrange parts of the production. Therefore, in order to meet the requirement of collaborative production assembly and machining, the optimization model with assembly constraints is established to minimize completion cycle, and the improved colony algorithm was constructed. Finally, the rational design algorithm, effectiveness of production was proved by running the example and comparative experiments.Thirdly, the monitoring model of the assembly process oriented assembly process is constructed, and the scheduling mechanism based on hybrid strategy is designed. According to the difference of enterprises of various materials production and monitoring requirements, a homogeneous set of materials for assembly process monitor model was established to achieve real-time monitoring of the production schedule, and scheduling based on the hybrid strategy of processing mechanism was proposed for materials tardiness problem to achieve the dynamic assembly and machining of cogeneration, to reduce resource especially the bottleneck resources due to material shortage and idle loss to provide technical assurance.Fourthly, based on theoretical achievements of the research, and combined with the cooperation of enterprises characteristics of the actual operation to design, develop suitable for bottle blowing machine manufacturing workshop synergic production management system.Based on the above theory and application research, we argue that assembly and machining operations synergies for blowing machine can be solved initially. The relevant research conclusions of this paper can provide blowing machine manufacturing enterprises the theory and approach support for the effective production control.