[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content
Log in

Scheduling unit time jobs with integer release dates to minimize the weighted number of tardy jobs

  • Published:
Annals of Operations Research Aims and scope Submit manuscript

Abstract

Consider a set of n unit time jobs, each one having a release date, a due date, both nonnegative integers, and a weight, a positive real number. Given a set of m parallel machines, we describe an algorithm for finding schedules with minimum weighted number of tardy jobs. The complexity of the proposed algorithm is \(O(n^{2}\frac{(1+\log m)}{m})\) . The best previous algorithm for this problem has complexity O(mn 3) and employs network flow techniques. Our method is based on a characterization for schedules of this type and employs graph theoretic tools.

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

Access this article

Subscribe and save

Springer+ Basic
£29.99 /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 (United Kingdom)

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Baptiste, P. (1999). Polynomial time algorithms for minimizing the weighted number of late jobs on a single machine when processing times are equal. Journal of Scheduling, 2, 245–252.

    Article  Google Scholar 

  • Baptiste, P., Brucker, P., Knust, S., & Timbkovsky, V. (2004). Ten notes on equal-processing-time scheduling: at the frontiers of solvability in polynomial time. Quaterly Journal of the Belgian, French and Italian Operations Research Societies 4OR, 2, 111–127.

    Google Scholar 

  • Brucker, P. (2004). Scheduling algorithms (4rd ed.). New York: Springer.

    Google Scholar 

  • Brucker, P., & Knust, S. (2007). Complexity results for scheduling problems. http://www.mathematik.uni-osnabrueck.de/research/OR/class.

  • Brucker, P., & Kravchenko, S. (2006). Scheduling equal processing time jobs to minimize the weighted number of late jobs. Journal of Mathematical Modelling and Algorithms, 2, 245–252.

    Google Scholar 

  • Brucker, P., Heitmann, S., & Hurink, J. (2003). How useful are preemptive schedules. Operational Research Letters, 31, 129–136.

    Article  Google Scholar 

  • Chrobak, M., Durr, C., Jawor, W., Kowalik, L., & Kurowski, M. (2006). A note on scheduling equal-length jobs to maximize throughput. Journal of Scheduling, 9, 71–73.

    Article  Google Scholar 

  • Graham, R., Lawler, E., Lenstra, J., & Rinnooy-Kan, A. (1979). Optimization and approximation in deterministic sequencing and scheduling: a survey. Annals of Discrete Mathematics, 5, 287–326.

    Article  Google Scholar 

  • Lawler, E., & Moore, J. (1969). A functional equation and its application to resource allocation and sequencing problems. Management Science, 16, 77–84.

    Article  Google Scholar 

  • Leung, J. (ed.) (2004). Handbook of scheduling: algorithms, models, and performance analysis. Computer and Information science series. London: Chapman& Hall.

    Google Scholar 

  • Moore, J. (1968). A n job, one machine sequencing algorithm for minimizing the mumber of late jobs. Management Science, 15, 102–109.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rosiane de Freitas Rodrigues.

Additional information

R.F. Rodrigues was partially supported by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—CAPES, Brazil.

J.L. Szwarcfiter was partially supported by the Conselho Nacional de Desenvolvimento Científico e Tecnológico—CNPq, and Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro—FAPERJ, Brazil.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Dourado, M.C., Rodrigues, R.d.F. & Szwarcfiter, J.L. Scheduling unit time jobs with integer release dates to minimize the weighted number of tardy jobs. Ann Oper Res 169, 81–91 (2009). https://doi.org/10.1007/s10479-008-0479-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10479-008-0479-y

Keywords

Navigation