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Single Machine Scheduling to Minimize Total Late Work

Author

Listed:
  • C. N. Potts

    (University of Southampton, Southampton, United Kingdom)

  • L. N. Van Wassenhove

    (INSEAD, Fontainebleau, France)

Abstract

In the problem of scheduling a single machine to minimize total late work, there are n jobs to be processed for which each has an integer processing time and a due date. The objective is to minimize the total late work, where the late work for a job is the amount of processing of this job that is performed after its due date. For the preemptive total late work problem, an O ( n log n ) algorithm is derived. The nonpreemptive total late work problem is shown to be NP-hard, although efficient algorithms are derived for the special cases in which all processing times are equal and all due dates are equal. A pseudopolynomial dynamic programming algorithm is presented for the general nonpreemptive total late work problem; it requires O ( n UB) time, where UB is any upper bound on the total late work. Computational results for problems with up to 10,000 jobs are given.

Suggested Citation

  • C. N. Potts & L. N. Van Wassenhove, 1992. "Single Machine Scheduling to Minimize Total Late Work," Operations Research, INFORMS, vol. 40(3), pages 586-595, June.
  • Handle: RePEc:inm:oropre:v:40:y:1992:i:3:p:586-595
    DOI: 10.1287/opre.40.3.586
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