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A hybrid algorithm for the one machine sequencing problem to minimize total tardiness

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  • V. Srinivasan

Abstract

In a recent paper, Hamilton Emmons has established theorems relating to the order in which pairs of jobs are to be processed in an optimal schedule to minimize the total tardiness of performing n jobs on one machine. Using these theorems, the algorithm of this paper determines the precedence relationships among pairs of jobs (whenever possible) and eliminates the first and the last few jobs in an optimal sequence. The remaining jobs are then ordered by incorporating the precedence relationships in a dynamic programming framework. Propositions are proved which considerably reduce the total computation involved in the dynamic programming phase. Computational results indicate that the solution time goes up less than linearly with the size (n) of the problem. The median solution time for solving 50 job problems was 0.36 second on UNIVAC 1108 computer.

Suggested Citation

  • V. Srinivasan, 1971. "A hybrid algorithm for the one machine sequencing problem to minimize total tardiness," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 18(3), pages 317-327, September.
    • Handle: RePEc:wly:navlog:v:18:y:1971:i:3:p:317-327
    DOI: 10.1002/nav.3800180304
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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. Ricardo Soto & Broderick Crawford & Rodrigo Olivares & César Carrasco & Eduardo Rodriguez-Tello & Carlos Castro & Fernando Paredes & Hanns de la Fuente-Mella, 2020. "A Reactive Population Approach on the Dolphin Echolocation Algorithm for Solving Cell Manufacturing Systems," Mathematics, MDPI, vol. 8(9), pages 1-25, August.

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