An improved particle swarm optimization (PSO) algorithm and fuzzy inference systems based approach to process planning and production scheduling integration in holonic manufacturing system (HMS)

	An improved particle swarm optimization (PSO) algorithm and fuzzy inference systems based approach to process planning and production scheduling integration in holonic manufacturing system (HMS)
	Zhao, Fu-Qing 1; Zhang, Qiu-Yu 1; Yang, Ya-Hong 2
	2006
关键词	holonic manufacturing system particle swarm optimization process planning scheduling
页码	396-+
英文摘要	New paradigms for manufacturing system control are required that provide manufacturers with the adaptability and responsiveness required to compete in today's market. In this paper, an integrated process planning and scheduling system, which is applicable to the holonic manufacturing system is presented. Basic architecture of the target holonic manufacturing system is discussed from the viewpoint of the process planning and the scheduling systems. Process planning are proposed to select suitable machining sequences of machining features and suitable sequences of machining equipment, taking into consideration of future schedules of machining equipment. A fuzzy inference system(FIS) in choosing alternative machines for integrated process planning and scheduling of a job shop in HMS is presented. In order to overcome the problem of un-utilization machines, sometimes faced by unreliable machine, an improved particle swarm optimization(PSO) have been used to balance the load for all the machines. Simulation study shows that the system can be used as an alternative way of choosing machines in integrated process planning and scheduling.
会议录	PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7
会议录出版者	IEEE
会议录出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
语种	英语
资助项目	Natural Science foundation of GANSU province[3ZS042-B25-005][ZS032-B25-013]
WOS研究方向	Automation & Control Systems ; Computer Science
WOS记录号	WOS:000241452300074
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/38242]
专题	计算机与通信学院土木工程学院国际合作处（港澳台办）
通讯作者	Zhao, Fu-Qing
作者单位	1.Lanzhou Univ Technol, Sch Comp & Commun Engn, Lanzhou 730050, Peoples R China 2.Lanzhou Univ Technol, Sch Civil Engn, Lanzhou 730050, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Fu-Qing,Zhang, Qiu-Yu,Yang, Ya-Hong. An improved particle swarm optimization (PSO) algorithm and fuzzy inference systems based approach to process planning and production scheduling integration in holonic manufacturing system (HMS)[C]. 见:.