Integration of process planning and production scheduling with particle swarm optimization (PSO) algorithm and fuzzy inference systems - art. no. 60421W

doi:10.1117/12.664634

CORC > 兰州理工大学 > 兰州理工大学

	Integration of process planning and production scheduling with particle swarm optimization (PSO) algorithm and fuzzy inference systems - art. no. 60421W
	Yang, YH; Zhao, FQ; Hong, Y; Yu, DM
	2005
关键词	process planning production scheduling particle swarm optimization
卷号	6042
DOI	10.1117/12.664634
页码	W421-W421
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	ICMIT 2005: Control Systems and Robotics, Pts 1 and 2
会议录出版者	SPIE-INT SOC OPTICAL ENGINEERING
会议录出版地	1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA
语种	英语
WOS研究方向	Automation & Control Systems ; Computer Science ; Robotics
WOS记录号	WOS:000235304400069
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/38312]
专题	兰州理工大学
通讯作者	Yang, YH
作者单位	Lanzhou Univ Technol, Coll Civil Engn, Lanzhou 730050, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Yang, YH,Zhao, FQ,Hong, Y,et al. Integration of process planning and production scheduling with particle swarm optimization (PSO) algorithm and fuzzy inference systems - art. no. 60421W[C]. 见:.