Research On Scheduling System Of Agile Manufacture In The Imperfect Information Condition

The stringent market competition and individualization requirements make today's manufacturing enterprises facing drastic challenges. Enterprises'market environments have hugely changed. Enterprises have competed from competing product's quality,capability to supply chain competition;Changeable competition environment and client requirement influence enterprise'subsistence and development, but enterprise speed-autoadjusting is slow.through agile manufacturing to agile competition, which is primary form of enterprises taking part in international competition. Just under this background, this dissertation constructs agile manufacturing scheduleing model based on Agent technique and Contract Net's bidding mechanism with agent concept in computer field; under imperfect information model, dynaically optimized scheduling algorithm is put forward and optimized agile scheduling's project is obtained with the genetic algorithm.There is an overall and deep study on the application of Agent technique,multi-Agent system,agile manufacturing scheduling system framework,optimized scheduling algorithm,program implementing technique. In terms of the characteristics of units of agile manufacture such as dynamics, openness and imperfect information, the paper builds the structure for the dynamic scheduling system of production tasks founded on production organizations and operating modes of multi-agent, and explores the imperfect model under the circumstance of agile manufacture. In addition, it puts forward the self-organized bid mechanism based on the CNCP-extending network agreement and the optimized model for dynamic scheduling based on the genetic algorithm. Finally, it makes emulational simulative experiment and implements the system under JADE flat. Experimental results have evidenced that the algorithm can obtain the most optimal solution for the scheduling target in the case of imperfect information model.Agile manufacture's characteristic fleetly and duly response to market change, which requires that corporation's production system can fleetly recombine manumacture unit in different corporation, establishing with task's building and disjointing with task's fulfilling. This paper builds the structure for the dynamic scheduling system of production tasks founded on production organizations and operating modes of multi-agent, which can commendablycontrol and cooperate Agent's activities as well as effectively collocate resources; agile manufacture scheduling system based on CNCP and Self-organized bidding mechanism can solve dynamics, openness in agile manufacture. In the parter's choice course, the system optimizes project with genetic Algorithm and obtains the optimized solution, which finally solves agile manufacturing unit's dynamics, openness and imperfect information and provides favorable sustaining system to agile manufacturing's parter.