A FMS Dynamic Scheduling Optimization Strategy and Simulation Research

Ji Zhuang Hui; Xiang Ding; Kai Gao

doi:10.4028/www.scientific.net/AMM.389.692

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 389A FMS Dynamic Scheduling Optimization Strategy and...

A FMS Dynamic Scheduling Optimization Strategy and Simulation Research

Abstract:

This paper studied the FMS dynamic scheduling problem which was based on Petri net FMS static scheduling optimization algorithm, which in accorder to solve the FMS actual production scheduling problems. A rolling window dynamic re-scheduling strategy was proposed which based on event driven and cycle driven. Then take the emergency machine failure often appearing in the actual workshop for example, this scheduling strategy was analyzed and applied to dynamic simulation and finally the effectiveness of the dynamic scheduling strategy was verified.

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Periodical:

Applied Mechanics and Materials (Volume 389)

Pages:

692-697

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.389.692

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Online since:

August 2013

Authors:

Ji Zhuang Hui, Xiang Ding, Kai Gao

Keywords:

Dynamic Scheduling, Emergency, FMS Dynamic Scheduling Strategy Simulation, Rolling Window again Dynamic Scheduling Strategy

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References

[1] Quanke Pan, Jianying Zhu. Job shop's dynamic scheduling research [J]. The paper of Nanjing University of Aeronautics and Astronautics. 2005, 37(2): 262-268.

Google Scholar

[2] Abumaizar R J, Svestka J A. Disruptions [J]. Int . J . Prod. Res, 1997, 35: 2065-(2082).

Google Scholar

[3] Xin Yu Li. Solving methods research for the problem of process planning and shop scheduling [D]. Wuhan: Huazhong University of Science and Technology doctoral thesis, (2009).

Google Scholar

[4] Zhang Chao Yong, Li Xin Yu, Wang Xiao Juan and so on. Dynamic scrolling window-based multi-objective optimization scheduling [J]. The Chinese Mechanical Engineering, 2009, 20 (18): 2190-2197.

Google Scholar

[5] Nelson R T, Holloway C A Implementation Heuristics for a Wong R M. Centralized Scheduling and Priority Dynamic Job Shop Model with due Dates and Variable Processing Time [J]. AIIE Transactions, 1977, 19(2): 96-102.

DOI: 10.1080/05695557708975127

Google Scholar

[6] Deng Jing. The intelligent Scheduling of flexible manufacturing system [J]. Advanced manufacturing and materials technology, 2000, 2 (3): 20-25.

Google Scholar

[7] Fang J, Xi Y G. A rolling horizon job shop rescheduling strategy in the dynamic environment [J]. The International Journal of Advanced Manufacturing Technology, 1997, 13(3): 227-232.

DOI: 10.1007/bf01305874

Google Scholar

[8] Sabuncuoglu I, Karabuk S. Rescheduling frequency in an FMS with uncertain processing times and unreliable machines [J]. Journal of Manufacturing Systems, 1999, 18(4): 268-281.

DOI: 10.1016/s0278-6125(00)86630-3

Google Scholar

[9] Zhang Guo Hui. scheduling research on flexible job shop [D]. Wuhan: Huazhong University of Science and Technology doctoral thesis, (2009).

Google Scholar

[10] Wang Chao. The research for job Shop Scheduling Problem based on Petri Nets. Beijing: Bei jing jiao tong university master thesis, (2011).

Google Scholar