Integrating rush orders into existent schedules for a complex job shop problem | Applied Intelligence Skip to main content
Log in

Integrating rush orders into existent schedules for a complex job shop problem

  • Published:
Applied Intelligence Aims and scope Submit manuscript

Abstract

This paper investigates the problem of inserting new rush orders into a current schedule of a real world job shop floor. Effective rescheduling methods must achieve reasonable levels of performance, measured according to a certain cost function, while preserving the stability of the shop floor, i.e. introducing as few changes as possible to the current schedule. This paper proposes new and effective match-up strategies which modify only a part of the schedule in order to accommodate the arriving jobs. The proposed strategies are compared with other rescheduling methods such as “right shift” and “insertion in the end”, which are optimal with respect to stability but poor with respect to performance, and with “total rescheduling” which is optimal with respect to performance but poor with respect to stability. Our results and statistical analysis reveal that the match-up strategies are comparable to the “right shift” and “insertion in the end” with respect to stability and as good as “total rescheduling” with respect to performance.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Japan)

Instant access to the full article PDF.

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  1. Akkiraju R, Keskinocak P, Murthy S, Wu F (2001) An agent-based approach for scheduling multiple machines. Appl Intell 14:135–144

    Article  MATH  Google Scholar 

  2. Leon V, Wu S, Storer R (1994) Robustness measures and robust scheduling for job shops. IIE Trans 26(5):32–43

    Article  Google Scholar 

  3. Mason S, Jin S, Wessels C (2004) Rescheduling strategies for minimizing total weighted tardiness in complex job shops. Int J Prod Res 42(3):613–628

    Article  MATH  Google Scholar 

  4. Pfeiffer A, Kádár B, Monostori L (2006) Stability-oriented evaluation of hybrid rescheduling methods in a job-shop with machine breakdowns. CIRP J Manuf Syst 35(6):563–570

    Google Scholar 

  5. Sun J, Xue D (2001) A dynamic reactive scheduling mechanism for responding to changes of production orders and manufacturing resources. Comput Ind 46(2):189–207

    Article  Google Scholar 

  6. Cowling P, Johansson M (2002) Using real time information for effective dynamic scheduling. Eur J Oper Res 139(2):230–244

    Article  MATH  MathSciNet  Google Scholar 

  7. Sadeh N (1994) Micro-opportunistic scheduling: The micro-boss factory scheduler. In: Intelligent scheduling, 4. Morgan Kaufmann, San Mateo, pp 99–136

    Google Scholar 

  8. Smith S (1995) Reactive scheduling systems. In: Brown D, Scherer W (eds) Intelligent scheduling systems. Kluwer, Dordrecht

    Google Scholar 

  9. Rangsaritratsamee R, Ferrell Jr W, Kurz M (2004) Dynamic rescheduling that simultaneously considers efficiency and stability. Comput Ind Eng 46(1):1–15

    Article  Google Scholar 

  10. Bierwirth C, Mattfeld D (1999) Production scheduling and rescheduling with genetic algorithms. Evol Comput 7(1):1–17

    Article  Google Scholar 

  11. Laguna M, Barnes J, Glover F (1993) Intelligent scheduling with tabu search: an application to jobs with linear delay penalties and sequence-dependent setup costs and times. Appl Intell 3:159–172

    Article  Google Scholar 

  12. Filip F, Neagu G, Donciulescu D (1983) Job shop scheduling optimization in real-time production control. Comput Ind 4:395–403

    Article  Google Scholar 

  13. Petrovic S, Petrovic D, Burke E (2009) Fuzzy logic based production scheduling/rescheduling in the presence of uncertainty. Springer International Series in Operation Research and Management Science, Advancing the State-of-the-Art Subseries

  14. Vieira G, Herrmann J, Lin E (2003) Rescheduling manufacturing systems: a framework of strategies, policies and methods. J Sched 6(1):39–62

    Article  MATH  MathSciNet  Google Scholar 

  15. Aytug H, Lawley M, McKay K, Mohan S, Uzsoy R (2005) Executing production schedules in the face of uncertainties: a review and some future directions. Eur J Oper Res 161(1):86–110

    Article  MATH  MathSciNet  Google Scholar 

  16. Donath M, Graves R (1988) Flexible assembly systems: an approach for near real-time scheduling and routing of multiple products. Int J Prod Res 26(12):1903–1919

    Article  Google Scholar 

  17. Chase C, Ramadge P (1992) On real-time scheduling policies for flexible manufacturing systems. IEEE Trans Autom Control 37(4):491–496

    Article  MathSciNet  Google Scholar 

  18. Gao H (1995) Building robust schedules using temporal protection an empirical study of constraint based scheduling under machine failure uncertainty. PhD thesis, Toronto University, Canada

  19. Davenport A, Gefflot C, Beck J (2001) Slack-based techniques for robust schedules. In: Proceedings of the sixth European conference on planning, pp 7–18

  20. Jensen M (2003) Generating robust and flexible job shop schedules using genetic algorithms. IEEE Trans Evol Comput 7(3):275–288

    Article  Google Scholar 

  21. Arroyo-Figueroa G, Sucar L (2005) Temporal bayesian network of events for diagnosis and prediction in dynamic domains. Appl Intell 23:77–86

    Article  Google Scholar 

  22. Li H, Li Z, Li L, Hu B (2000) A production rescheduling expert simulation system. Eur J Oper Res 124(2):283–293

    Article  MATH  Google Scholar 

  23. Liao C, Chen W (2004) Scheduling under machine breakdown in a continuous process industry. Comput Oper Res 31(3):415–428

    Article  MATH  MathSciNet  Google Scholar 

  24. Duron C, Proth J, Wardi Y (2005) Insertion of a random task in a schedule: a real-time approach. Eur J Oper Res 164(1):52–63

    Article  MATH  MathSciNet  Google Scholar 

  25. Bean J, Birge J (1986) Match-up real-time scheduling. In: Proceedings of the symposium on real-time optimization in automated manufacturing facilities, national bureau of standards, special publication 724, pp 197–212

  26. Birge J, Dempster M (1992) Optimality conditions for match-up strategies in stochastic scheduling. Technical Report 92-58, Department of Industrial and Operations Engineering, The University of Michigan

  27. Birge J, Dempster M (1995) Optimal match-up strategies in stochastic scheduling. Discrete Appl Math 57(2–3):105–120

    Article  MATH  MathSciNet  Google Scholar 

  28. Bean J, Birge J, Mittenthal J, Noon C (1991) Matchup scheduling with multiple resources, release dates and disruptions. Oper Res 39(3):470–483

    Article  MATH  Google Scholar 

  29. Akturk M, Gorgulu E (1999) Match-up scheduling under a machine breakdown. Eur J Oper Res 112(1):81–97

    Article  MATH  Google Scholar 

  30. Smith S, Muscettola N, Matthys D, Ow P, Potvin J (1990) Opis: an opportunistic factory scheduling system. In: IEA/AIE ’90: Proceedings of the 3rd international conference on industrial and engineering applications of artificial intelligence and expert systems. ACM, New York, pp 268–274

    Chapter  Google Scholar 

  31. Abumaizar R, Svestka J (1997) Rescheduling job shops under random disruptions. Int J Prod Res 35(7):2065–2082

    Article  MATH  Google Scholar 

  32. Wu S, Storer R, Chang P (1993) One-machine rescheduling heuristics with efficiency and stability as criteria. Comput Oper Res 20(1):1–14

    Article  MATH  Google Scholar 

  33. Petrovic S, Fayad C, Petrovic D, Burke E, Kendall G (2008) Fuzzy job shop scheduling with lot-sizing. Ann Oper Res 159(1):275–292

    Article  MATH  MathSciNet  Google Scholar 

  34. Miller R (1991) Simultaneous statistical inference. Springer, New York

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Patrick Moratori.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Moratori, P., Petrovic, S. & Vázquez-Rodríguez, J.A. Integrating rush orders into existent schedules for a complex job shop problem. Appl Intell 32, 205–215 (2010). https://doi.org/10.1007/s10489-010-0215-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10489-010-0215-6

Keywords

Navigation