Research on Strategy of Dynamic Flexible Job-Shop Scheduling

Article Preview

Abstract:

A dynamic scheduling method for FJSP is put forward based on real-time adjustment of controllable margin, aiming at uncertain information and dynamic characteristic during practical job-shop scheduling process. Strategy and methods of dynamic scheduling adjustment are presented, which respond to real-time event. In view of practical operation condition and accuracy demands, two methods are proposed. One is rescheduling that condenses domain, the other is scheduling updating based on adjustment. Such strategy obtains dynamic robust scheduling of FJSP to ensure the real-time of algorithm, continuity and stability of scheduling schemes.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2237-2243

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Ouelhadj D, Petrovic S. A survey of dynamic scheduling in manufacturing systems[J]. Journal of Scheduling Vol. 12(2009), pp.417-431.

DOI: 10.1007/s10951-008-0090-8

Google Scholar

[2] Rajabinasab A, Mansour S. Dynamic flexible job shop scheduling with alternative process plans: an agent-based approach[J]. The International Journal of Advanced Manufacturing Technology, Vol. 54(2011), pp.1091-1107.

DOI: 10.1007/s00170-010-2986-7

Google Scholar

[3] Y. Sun, C. Zhang, L Gao. Multi-objective optimization algorithms for flow shop scheduling problem: a review and prospects[J]. The International Journal of Advanced Manufacturing Technology Vol. 55(2011), pp.723-739.

DOI: 10.1007/s00170-010-3094-4

Google Scholar

[4] W.J. Jiang, L.M. Zhang, P. Wang. Dynamic scheduling model of computing resource based on MAS cooperation mechanism[J]. Science in China Series F: Information Sciences Vol. 52(2009), pp.1302-1320.

DOI: 10.1007/s11432-009-0151-4

Google Scholar

[5] X. Wang, L. Gao, C. Zhang. A multi-objective genetic algorithm based on immune and entropy principle for flexible job-shop scheduling problem[J]. The International Journal of Advanced Manufacturing Technology Vol. 51(2010), pp.757-767.

DOI: 10.1007/s00170-010-2642-2

Google Scholar

[6] Herroelen W. Discussion of Probabilistic Estimation and Allocation of Project Time Contingency, by Gabriel A. Barraza[J]. Journal of Construction Engineering and Management Vol. 139(2013), pp.253-255.

DOI: 10.1061/(asce)co.1943-7862.0000466

Google Scholar

[7] L. Nie, L. Gao, P. Li. A GEP-based reactive scheduling policies constructing approach for dynamic flexible job shop scheduling problem with job release dates[J]. Journal of Intelligent Manufacturing (2012), pp.21-12.

DOI: 10.1007/s10845-012-0626-9

Google Scholar

[8] Mönch L, Fowler J W, Dauzère-Pérès S. A survey of problems, solution techniques, and future challenges in scheduling semiconductor manufacturing operations[J]. Journal of Scheduling Vol. 14(2011), pp.583-599.

DOI: 10.1007/s10951-010-0222-9

Google Scholar

[9] Vieira G E, Herrmann J W, Lin E. Rescheduling manufacturing systems: a framework of strategies, policies, and methods[J]. Journal of scheduling Vol. 6(2003) , pp.39-62.

Google Scholar

[10] Larsen R, Pranzo M. A framework for dynamic rescheduling problems[J]. Journal of Scheduling Vol. 139(2012) ), pp.230-244.

Google Scholar