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Proceedings Paper

Integration of process planning and production scheduling with particle swarm optimization (PSO) algorithm and fuzzy inference systems
Author(s): Yahong Yang; Fuqing Zhao; Yi Hong; Dongmei Yu
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Paper Abstract

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.

Paper Details

Date Published: 2 May 2006
PDF: 7 pages
Proc. SPIE 6042, ICMIT 2005: Control Systems and Robotics, 60421W (2 May 2006); doi: 10.1117/12.664634
Show Author Affiliations
Yahong Yang, Lanzhou Univ. of Technology (China)
Fuqing Zhao, Lanzhou Univ. of Technology (China)
Yi Hong, Lanzhou Univ. of Technology (China)
Dongmei Yu, Lanzhou Univ. of Technology (China)

Published in SPIE Proceedings Vol. 6042:
ICMIT 2005: Control Systems and Robotics
Yunlong Wei; Kil To Chong; Takayuki Takahashi; Shengping Liu; Zushu Li; Zhongwei Jiang; Jin Young Choi, Editor(s)

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