Research On Dynamic Order Production Scheduling Of Multi-level Manufacturing System Under Disturbance

With the development of economic globalization and diversified market demands,manufacturing companies are evolving toward multiple varieties,small batches,and short-term cycles.In order to meet new market demands,manufacturing companies have also established multi-level manufacturing systems with complex and flexible topologies.Those manufacturing system obtain a rich variety of products through the arrangement of the processing process between the multi-level stages,and can meet a variety of market demands.At present,there are many limitations on the order scheduling of multi-level manufacturing systems,such as ignoring production capacity,independent scheduling,etc.,and there is not much research on order scheduling schemes under disturbance events where the uncertainty variables are discrete values.In order to solve the problems that occur in multi-level scheduling,this article has carried out research on order scheduling of multi-level manufacturing systems.The main research contents are as follows:(1)A scheduling method for multi-level manufacturing systems under static conditions is given.Taking the production costs,customer satisfaction,inventory levels,and equipment utilization within the planning cycle as targets,the constraints among materials,inventory,and production capabilities are fully considered,and the scheduling model of static multi-level manufacturing system is constructed.After optimizing the production process and delivery strategy,the model optimizes the production capacity and inventory turnover capacity of each production level within the planning cycle to obtain the optimal batch production plan within the planning cycle.(2)The order scheduling scheme under the disturbance event is set up.Using the hybrid-driven scheduling strategy to drive the reordering of multi-level manufacturing systems orders,a dynamic scheduling model was designed for three types of disturbance events: emergency plug-in,equipment failure,and material delay,and this model can make real-time responses to those disturbance events.(3)An improved multi-objective differential bat algorithm is presented.A new optimization algorithm,the different bat algorithm,is generated by which is optimized combining differential evolution with bat algorithm.The differential bat algorithm is used to solve the scheduling model of multi-level manufacturing system,and the running results and convergence of the examples proves the effectiveness of the algorithm.(4)The order scheduling scheme is verified by example.This paper selects a typical multi-level manufacturing enterprise and verifies the company's scheduling problem.This paper solves the model using the MATLAB platform.The multi-level production scheduling model and the validity of multi-level dynamic scheduling model under disturbance events are verified.(5)A multi-level manufacturing enterprise scheduling prototype system under disturbance events is developed.The system is mainly divided into four modules: basic data management module,user management module,basic scheduling module,and disturbance event scheduling module,which can effectively formulate multi-level manufacturing enterprises scheduling in static and dynamic environments.The research results have effectively enriched the research of multi-level manufacturing enterprises' scheduling problems.The solution of scheduling aiming at static multi-level manufacturing systems and the dynamic scheduling of multi-level manufacturing system under disturbance events are given,and the frequency of module replacement,the work-in-progress and the idle rate of equipment are reduced.Thereby,the production costs of multi-level manufacturing are reduced.