Research On Piston Machining Process And Resource Scheduling And Their Simulation

Along with the rapid development of science and technology, the speeding up of the product renewal speed and the increase of people's demands to the diversified product, causes the manufacturing industry changing to the multi-varieties and various scale production. In order to adapt this kind of change of situation, realize synchronized production of many kinds of products under the reasonable schedule, and win the user and the market, needs to carry on the enterprise resource rapid reconfiguration.The piston is one of the most important parts that compose engines, the market is quite broad. Today the automotive industry is seeking effective action to reduce the cost, this provides the broad development space and the huge opportunity for the domestic piston production factory. As the piston variety and the batch demand changes unceasingly, enterprises face the enormous challenge for the piston production and its job-shop scheduling problem. Promote the ability of responding the changes of market and the ability of customization production is one of the most efficient ways of enhancing the ability of synthetical competition.This paper aims at the question exists in the piston production, through the analysis the characteristic of the structure and the process of the piston at present, the characteristic of the piston production line organization form, take the Multi-Agent technology, reconfigurable technology, the feature decomposition and regroup, the production scheduling and Computer Simulation of Manufacturing System as the support, take the semiautomatic manual work piston production line as the research object, A Multi-Agent system framework about the piston process reconfiguration and resource scheduling was established. The reconfiguration model for process route was established based on original feature, the manufacture resources optimized choice was considered in the course of process route reconfiguration, manufacturing cells were combined after the reconfiguration; An improved genetic algorithm for solving manufacturing cells Job-Shop scheduling problem was designed based on the research...