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Manufacturing Resource Planning Technology Based on Genetic Programming Simulationnn

Manufacturing Resource Planning Technology Based on Genetic Programming Simulationnn

作     者:GAO Shiwen LIAO Wenhe GUO Yu LIU Jinshan SU Yan 

作者机构:College of Mechanical and Electrical Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210013 China China Aerospace of Science and Technology Corporation Beijing 10003 7 China 

出 版 物:《Chinese Journal of Mechanical Engineering》 (中国机械工程学报(英文版))

年 卷 期:2009年第22卷第2期

页      面:177-183页

核心收录:

学科分类:120202[管理学-企业管理(含:财务管理、市场营销、人力资源管理)] 12[管理学] 1202[管理学-工商管理] 08[工学] 0835[工学-软件工程] 081202[工学-计算机软件与理论] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

基  金:supported by National Hi-tech Research and Development Program of China (863 Program, Grant No. 2002AA411030) National Defense Foundation Scientific Research of China (Grant No. d2520061124) 

主  题:resource planning network-based manufacturing simulation optimization initial scheduling 

摘      要:Network-based manufacturing is a kind of distributed system, which enables manufacturers to finish production tasks as well as to grasp the opportunities in the market, even if manufacturing resources are insufficient. One of the main problems in network-based manufacturing is the allocation of resources and the assignment of tasks rationally, according to flexible resource distribution. The mapping rules and relations between production techniques and resources are proposed, followed by the definition of the resource unit. Ultimately, the genetic programming method for the optimization of the manufacturing system is put forward. A set of software for the optimization system of simulation process using genetic programming techniques has been developed, and the problems of manufacturing resource planning in network-based manufacturing are solved with the simulation of optimizing methods by genetic programming. The optimum proposal of hardware planning, selection of company and scheduling will be obtained in theory to help company managers in scientific decision-making.

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