Skip to main content
Log in

Makespan minimization of a flowshop sequence-dependent group scheduling problem

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

The flowshop sequence dependent group scheduling problem with minimization of makespan as the objective (F m |fmls, S plk, prmu|C max ) is considered in this paper. It is assumed that several groups with different number of jobs are assigned to a flow shop cell that has m machines. The goal is to find the best sequence of processing the jobs in each group and the groups themselves with minimization of makespan as the objective. A mathematical model for the research problem is developed in this paper. As the research problem is shown to be NP-hard, a hybrid ant colony optimization (HACO) algorithm is developed to solve the problem. A lower bounding technique based on relaxing a few constraints of the mathematical model developed for the original problem is proposed to evaluate the quality of the HACO algorithm. Three different problem structures, with two, three, and six machines, are used in the generation of the test problems to test the performance of the algorithm and the lower bounding technique developed. The results obtained from the HACO algorithm and those that have appeared in the published literature are also compared. The comparative results show that the HACO algorithm has a superior performance compared to the best available algorithm based on memetic algorithm with an average percentage deviation of around 1.0% from the lower bound.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Allahverdi A, Gupta JND, Aldowaisian T (1999) A review of scheduling research involving setup considerations. Int J Manag Sci Omega 27:219–239

    Article  Google Scholar 

  2. Panwalker SS, Dudek RA, Smith ML (1973) Sequencing research and the industrial scheduling problem. Symposium on the theory of scheduling and its applications. Springer, New York, pp 29–38

    Google Scholar 

  3. Wortman DB (1992) Managing capacity: getting the most from your Firm’s assets. Ind Eng 24:47–49

    Google Scholar 

  4. Schaller JE, Gupta JND, Vakharia AJ (2000) Scheduling a flowline manufacturing cell with sequence dependent family setup times. Eur J Oper Res 125:324–339

    Article  MATH  Google Scholar 

  5. Cheng TCE, Gupta JND, Wang G (2000) A review of flowshop scheduling research with setup times. Prod Oper Manag 9(3):262–282

    Article  Google Scholar 

  6. Zhu X, Wilhelm WE (2006) Scheduling and lot sizing with sequence-dependent setups: a literature review. IIE Trans 38:987–1007

    Article  Google Scholar 

  7. Allahverdi A, Ng CT, Cheng TCE, Kovalyov MY (2008) A survey of scheduling problems with setup times or costs. Eur J Oper Res 187:985–1032

    Article  MathSciNet  MATH  Google Scholar 

  8. Hejazi SR, Saghafian S (2005) Flowshop-scheduling problems with makespan criterion: a review. Int J Prod Res 43(14):2895–2929

    Article  MATH  Google Scholar 

  9. Jordan C (1996) Batching and scheduling: models and methods for several problem classes. Springer, Berlin

    MATH  Google Scholar 

  10. Franca PM, Gupta JND, Mendes AS, Moscato P, Veltink KJ (2005) Evolutionary algorithms for scheduling a flowshop manufacturing cell with sequence dependent family setups. Comput Ind Eng 48(3):491–506

    Article  Google Scholar 

  11. Logendran R, Salmasi N, Sriskandarajah C (2006) Two-machine group scheduling problems in discrete parts manufacturing with sequence-dependent setups. J Comput Oper Res 33:158–180

    Article  MathSciNet  MATH  Google Scholar 

  12. Hendizadeh H, Faramarzi H, Mansouri SA, Gupta JND, Elmekkawy TY (2008) Meta-heuristics for scheduling a flowshop manufacturing cell with sequence dependent family setup times. Int J Prod Econ 111:593–605

    Article  Google Scholar 

  13. Salmasi N, Logendran R (2008) A heuristic approach for multi-stage sequence-dependent group scheduling problems. J Ind Eng Int 4(7):48–58

    Google Scholar 

  14. Pinedo M (2008) Scheduling theory algorithms and systems, Third Edition, Prentice Hall

  15. Gajpal Y, Rajendran C (2006) An ant-colony optimization algorithm for minimizing the completion-time variance of jobs in flowshops. Int J Prod Econ 101:259–272

    Article  Google Scholar 

  16. Gajpal Y, Rajendran C, Ziegler H (2006) An ant colony algorithm for scheduling in flowshops, with sequence-dependent setup times of jobs. Int J Adv Manuf Technol 30:416–424

    Article  Google Scholar 

  17. Nawaz M, Enscore E, Ham I (1983) A heuristic algorithm for the m-machine, n-job flow-shop sequencing problem, omega. Int J Manag Sci 11(1):91–95

    Google Scholar 

  18. Dorigo M (1992) Optimization, learning, and natural algorithms, PhD thesis, Politecnico di Milano

  19. Dorigo M, Gambardella LM (1997) Ant colonies for the traveling salesman problem. BioSystems 43(2):73–81

    Article  Google Scholar 

  20. ILOG, CPLEX (2003) Release 9.0, Paris, France

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rasaratnam Logendran.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Salmasi, N., Logendran, R. & Skandari, M.R. Makespan minimization of a flowshop sequence-dependent group scheduling problem. Int J Adv Manuf Technol 56, 699–710 (2011). https://doi.org/10.1007/s00170-011-3206-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-011-3206-9

Keywords

Navigation