Integration of process planning and production scheduling with particle swarm optimization (PSO) algorithm and fuzzy inference systems

doi:10.1117/12.664634

CORC > 兰州理工大学 > 兰州理工大学 > 土木工程学院

	Integration of process planning and production scheduling with particle swarm optimization (PSO) algorithm and fuzzy inference systems
	Yang, Yahong 1; Zhao, Fuqing 2; Hong, Yi 2; Yu, Dongmei 2
	2005
会议日期	September 20, 2005 - September 23, 2005
会议地点	Chongging, China
关键词	Algorithms Computer simulation Fuzzy sets Optimization Production control Scheduling Particle swarm optimization Process Planning Production Scheduling
卷号	6042 I
DOI	10.1117/12.664634
英文摘要	Integration of process planning with scheduling by considering the manufacturing system's capacity, cost and capacity in its workshop is a critical issue. The concurrency between them can also eliminate the redundant process and optimize the entire production cycle, but most integrated process planning and scheduling methods only consider the time aspects of the alternative machines when constructing schedules. In this paper, a fuzzy inference system (FIS) in choosing alternative machines for integrated process planning and scheduling of a job shop manufacturing system is presented. Instead of choosing alternative machines randomly, machines are being selected based on the machines reliability. The mean time to failure (MTF) values is input in a fuzzy inference mechanism, which outputs the machine reliability. The machine is then being penalized based on the fuzzy output. The most reliable machine will have the higher priority to be chosen. In order to overcome the problem of un-utilization machines, sometimes faced by unreliable machine, the 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 SPIE - The International Society for Optical Engineering
会议录出版者	SPIE
语种	英语
ISSN号	0277786X
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/117180]
专题	土木工程学院国际合作处（港澳台办）
作者单位	1.College of Civil Engineering, Lanzhou University of Technology, Lanzhou,Gansu, 730050, China; 2.School of Computer and Communication, Lanzhou University of Technology, Lanzhou, Gansu,730050, China
推荐引用方式 GB/T 7714	Yang, Yahong,Zhao, Fuqing,Hong, Yi,et al. Integration of process planning and production scheduling with particle swarm optimization (PSO) algorithm and fuzzy inference systems[C]. 见:. Chongging, China. September 20, 2005 - September 23, 2005.