Production Planning And Simulation Analysis For A Multi-stage Mixed Flow Hardware Manufacture

More and more customized and personalized products are available today.Companies have been universal.Companies are required to respond to the demand quickly are required to respond to the demand quickly.Therefore,higher requirements for production planning and control are put forward.In realistic production,the mixed flow manufacturing process not only has the characteristic of multi component parts production,but also combines mass production,inventory production,order oriented assembly and other production modes,forming a multi-stage mixed flow manufacturing production system.The production planning and control of this multi-stage mixed flow manufacturing system should not only have overall planning control,but also optimize the local short term scheduling,and affect each other and restrict each other.Therefore,it becomes a difficult problem in the research field of production planning and scheduling.With the background of a typical multi-stage mixed-flow manufacturing system in a hardware manufacturing enterprise,this paper studies the control framework of multi-stage mixed flow manufacturing system,establishes a mathematical model for scheduling problem of the production workshop at all stages and optimizes order sequence by using tabu search algorithm.Furthermore,the planning and scheduling method for multi-stage mixed flow shop is simulated and verified by using a simulation model.The specific content is as follows:(1)Aiming at the current difficulties of the company's workshop production planning and management,this paper proposes an order-oriented three-level production planning and control structure,builds an integrated production planning control framework,and clarifies the business process of multi-shop collaborative planning.(2)The workload control order release strategy for multi-workshop collaborative planning is studied,the periodic push release control logic is used to control the release of product orders and rationality of this method is verified by given cases.(3)The sequencing optimization of the black-body and painting single-stage mixed flow shop considering the sequence-dependent changeover constraints is analyzed.In the black-body workshop,a mathematical programming model is formulated to minimize the tardiness time,the kitting wait time and makespan.And in the painting workshop,the mathematical programming model is formulated to minimize the tardiness punishment cost,the processing cost and the total setup cost.The tabu search algorithm is used to obtain the optimal processing sequence and scheduling results of the two models.(4)Using the data-driven simulation modeling technology based on Simio platform to correlate the black-body shop and the painting shop.The load control strategy and the solution results of the proposed algorithm are analyzed in actual cases,providing guidance for decision-making to solve practical problems.The integrated production planning and control framework of the multi-stage mixed flow manufacturing shop proposed in this paper will help improve the company's operation management.The simulation model and optimization strategy can provide enterprises with decision-making basis and improve the company's production efficiency.