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

Yahong Yang; Fuqing Zhao; Yi Hong; Dongmei Yu

doi:10.1117/12.664634

2 May 2006 Integration of process planning and production scheduling with particle swarm optimization (PSO) algorithm and fuzzy inference systems

Yahong Yang, Fuqing Zhao, Yi Hong, Dongmei Yu

Author Affiliations +

Proceedings Volume 6042, ICMIT 2005: Control Systems and Robotics; 60421W (2006) https://doi.org/10.1117/12.664634
Event: ICMIT 2005: Merchatronics, MEMS, and Smart Materials, 2005, Chongqing, China

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.

Citation Download Citation

Yahong Yang, Fuqing Zhao, Yi Hong, and Dongmei Yu "Integration of process planning and production scheduling with particle swarm optimization (PSO) algorithm and fuzzy inference systems", Proc. SPIE 6042, ICMIT 2005: Control Systems and Robotics, 60421W (2 May 2006); https://doi.org/10.1117/12.664634

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available