The Research On The Integrated Optimization Of Production Planning And Scheduling Of Discrete Manufacturing For MTO Production

Effective production planning and scheduling are effective means to optimize the production process and improve the production efficiency and effectiveness. Production planning and production scheduling are usually carried out in the enterprise. However, in the distributed manufacturing environment, the production planning needs to be completed by the multiple distribution in different regions. Once the market changes or changes in the field environment, the original production plan is difficult to effectively implement and may need to redistribution and scheduling of the original manufacturing tasks. It is necessary to integrate planning and scheduling in a comprehensive optimization. In this thesis, the production planning and scheduling optimization problem of distributed manufacturing system are studied based on the make-to-order manufacturing.Firstly, the production planning and scheduling problem of make-to-order distribution manufacturing system are analyzed. Under the make-to-order distribution manufacturing environment, considering the product customization, different customers may have different requirements for the same product. In this thesis, the concept of ABOM (bill of material, ABOM) is proposed and production plan for MTO is established. In addition, being distributed the factory in the distributed manufacturing system, the customer can specify the production and processing plant in the order. Based on the above characteristics, this thesis establishes a production planning model of order distribution.Secondly, according to the function of production planning and scheduling and the interaction of each other in production optimization, this thesis puts forward a comprehensive optimization strategy in which the rule of order distribution manufacturing production planning and scheduling is executed. Taking into account the importance of the order release sequence in production scheduling, this thesis puts forward "forward scheduling rules and backward scheduling policy rules" the strategy. This scheduling policy rules base on the maturity date, the material arrival time, processing time, the start time and end time between two orders as to the constraints and constraint to determine the earliest release time, the latest release time and reasonable release time for each order.Finally, to verify the effectiveness of the proposed production planning model and integrated optimization strategy in this thesis, the simulation needs to be implemented for the order allocation and order release in a number of plants. The simulation results verify that the proposed make-to-order distributed manufacturing system production planning model complexity increases, but still able to effectively complete the order allocation and the strategy is more comprehensive dispatching rule in contrast to the previous single scheduling rule such as the earliest scheduled delivery rule or the shortest processing time delivery rule.