Research And Design Of Multi-variety Small Batch Production Scheduling System Based On Constraint Theor

With the development of manufacturing technology and the intensification of market competition,the production mode of enterprises gradually changes from the traditional single variety mass production to multi variety small batch production.At the same time,it also brings challenges to the production scheduling of enterprises,which have become more and more complex and changeable.The traditional empirical and manual scheduling methods have problems such as low efficiency and inflexibility,which can not effectively deal with the market environment.Enterprises need to formulate more scientific and reasonable production scheduling schemes to complete customer orders with quality and quantity.Also,more flexible production scheduling methods are needed to deal with frequent emergencies in production activities,ensuring a stable and orderly production and improving the production efficiency.This paper starts from the characteristics of multi variety and small batch production mode,taking the actual production workshop as the research object,and analyzes the problems existing in its production scheduling process.Firstly,based on the drum-bufferrope planning control model of constraint theory,the bottleneck identification and buffer setting are discussed,then the production scheduling model of forward pull and backward push with the bottleneck process as the drum is established,and the dynamic scheduling problem is discussed.What’s more,aiming at the complexity of the scheduling problem,the genetic algorithm,which is improved to promote the computational efficiency,is used to solve the production scheduling problem.The results show that the production scheduling scheme obtained by this model is better than the traditional scheduling scheme in terms of total completion time and average process time.Finally,the production scheduling management system is developed based on the production scheduling model and scheduling algorithm,and the example data is imported to test the system,so as to further improve the production scheduling efficiency and reduce the workload of planners.