The Research About The Integration Of Process Planning And Muti-agent Production Scheduling System

Production scheduling system is the core of Enterprise Resource Planning (ERP), also the bottleneck of ERP. In the situation of agile and global manufacturing, many new problems of production scheduling research develop. Exploring the integration of process planning and production scheduling is an important developing direction of workshop production scheduling.After deeply researching of the current research achievement and combining with the practical situation of production objects, this paper designs the system of process planning and production scheduling. Genetic algorithm was used to select the process routings of parts and the operations of encoding; crossover and mutation were designed according to the character of flexible process network. This paper designs a modei of integrated system using hybrid modeling method of agents, four kinds of agents are built: task management agent, resource management, task agent and resource agent. Based on this, the hybrid architecture of multi-agent integrated the hierarchy is also proposed after analyzing. There are horizontal and vertical negotiations in the architecture of the proposed integrated system in order to make the system agile and flexible responses capabilities and a feasible, robust and near optimized schedulers.This paper implements the optimal algorithm of process planning, designed the fitness function and determined parameter of genetic algorithm according to many tests. The multi-agent scheduling system is built up using distributed object. In the support of RMI technology, the communication of agents is implemented. We also did some experiments about the integrate system, compares the scheduling results with some other scheduling algorithm. The results have successfully shown that the proposed integrated mode! of process planning and production scheduling is feasible and effective. The integrated system of process planning and multi-agent production scheduling has incorporated the features of adaptive and agility to changes in production diversity and environment configuration.