Skip to main content
Log in

Approximation algorithms for maximizing the weighted number of early jobs on a single machine with non-availability intervals

  • Published:
Journal of Combinatorial Optimization Aims and scope Submit manuscript

Abstract

In this paper we consider the maximization of the weighted number of early jobs on a single machine with non-availability constraints. We deal with the resumable and the non-resumable cases. We show that the resumable version of this problem has a fully polynomial time approximation scheme (FPTAS) even if the number of the non-availability intervals is variable and a subset of jobs has deadlines instead of due dates. For the non-resumable version we remark that the problem cannot admit an FPTAS even if all due dates are equal and only one non-availability interval occurs. Nevertheless, we show in this case that it admits a polynomial time approximation scheme (PTAS) for a constant number of non-availability intervals and arbitrary due dates.

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

  • Gens GV, Levner EV (1978) Approximation algorithms for certain universal problems in scheduling theory. Eng Cybern 16:31–36

    MATH  Google Scholar 

  • Gens GV, Levner EV (1981) Fast approximation algorithms for job sequencing with deadlines. Discrete Appl Math 3:313–318

    Article  MATH  Google Scholar 

  • Kacem I, Kellerer H (2011) Fast approximation algorithms to minimize a special weighted flow-time criterion on a single machine with a non-availability interval and release dates. J Sched 14:257–265

    Article  MathSciNet  MATH  Google Scholar 

  • Kellerer H, Strusevich VA (2006) A fully polynomial approximation scheme for the single machine weighted total tardiness problem with a common due date. Theoret Comput Sci 369:230–238

    Article  MathSciNet  MATH  Google Scholar 

  • Lawler EL, Moore JM (1969) A functional equation and its application to resource scheduling and sequencing problems. Manage Sci 16:77–84

    Article  MATH  Google Scholar 

  • Lee C-Y (1996) Machine scheduling with an availability constraint. J Global Optim 9:363–382

    Article  Google Scholar 

  • Lee C-Y (2004) Machine scheduling with availability constraints. In: Leung JY-T (ed) Handbook of scheduling: algorithms, models and performance analysis. Chapman & Hall/CRC, London, pp 22-1–22-13

    Google Scholar 

  • Ma Y, Chu C, Zuo C (2010) A survey of scheduling with deterministic machine availability constraints. Comput Ind Eng 58:199–211

    Article  Google Scholar 

  • Pinedo M (2012) Scheduling: theory, algorithms and systems, 4th edn. Springer, New York

    Book  Google Scholar 

  • Potts CN, van Wassenhove LN (1992) Approximation algorithms for scheduling a single machine to minimize total late work. Oper Res Lett 11:261–266

    Article  MathSciNet  MATH  Google Scholar 

  • Sahni S (1976) Algorithms for scheduling independent tasks. J Assoc Comput Mach 23:116–127

    Article  MathSciNet  MATH  Google Scholar 

  • Sahni S (1977) General techniques for combinatorial approximation. Oper Res 25:920–936

    Article  MathSciNet  Google Scholar 

  • Schmidt G (2000) Scheduling with limited machine availability. Eur J Oper Res 121:1–15

    Article  MATH  Google Scholar 

Download references

Acknowledgments

This work has been supported by Programme PHC AMADEUS 2012 (Project No. 25086PL).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Imed Kacem.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kacem, I., Kellerer, H. & Lanuel, Y. Approximation algorithms for maximizing the weighted number of early jobs on a single machine with non-availability intervals. J Comb Optim 30, 403–412 (2015). https://doi.org/10.1007/s10878-013-9643-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10878-013-9643-7

Keywords

Navigation