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An experimental comparison of solution algorithms for the single‐machine tardiness problem

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  • Kenneth R. Baker
  • James B. Martin

Abstract

A basic problem in scheduling involves the sequencing of a set of independent tasks at a single facility with the objective of minimizing mean tardiness. Although the problem is relatively simple, the determination of an optimal sequence remains a challenging combinatorial problem. A number of algorithms have been developed for finding solutions, and this paper reports a comparative evaluation of these procedures. Computer programs for five separate algorithms were written and all were run on a data base designed to highlight computational differences. Optimizing algorithms developed by Emmons and by Srinivasan appeared to be particularly efficient in the comparative study.

Suggested Citation

  • Kenneth R. Baker & James B. Martin, 1974. "An experimental comparison of solution algorithms for the single‐machine tardiness problem," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 21(1), pages 187-199, March.
    • Handle: RePEc:wly:navlog:v:21:y:1974:i:1:p:187-199
    DOI: 10.1002/nav.3800210114
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    Cited by:

    1. Johnny C. Ho & Yih‐Long Chang, 1991. "Heuristics for minimizing mean tardiness for m parallel machines," Naval Research Logistics (NRL), John Wiley & Sons, vol. 38(3), pages 367-381, June.
    2. J. Steve Davis & John J. Kanet, 1993. "Single‐machine scheduling with early and tardy completion costs," Naval Research Logistics (NRL), John Wiley & Sons, vol. 40(1), pages 85-101, February.
    3. Shiwei Chang & Hirofumi Matsuo & Guochun Tang, 1990. "Worst‐case analysis of local search heuristics for the one‐machine total tardiness problem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 37(1), pages 111-121, February.

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