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Single machine scheduling to minimize total weighted earliness subject to minimal number of tardy jobs

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  • Wan, Guohua
  • Yen, Benjamin P.-C.
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    Abstract

    Motivated by just-in-time manufacturing, we consider a single machine scheduling problem with dual criteria, i.e., the minimization of the total weighted earliness subject to minimum number of tardy jobs. We discuss several dominance properties of optimal solutions. We then develop a heuristic algorithm with time complexity O(n3) and a branch and bound algorithm to solve the problem. The computational experiments show that the heuristic algorithm is effective in terms of solution quality in many instances while the branch and bound algorithm is efficient for medium-size problems.

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    Bibliographic Info

    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 195 (2009)
    Issue (Month): 1 (May)
    Pages: 89-97

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    Handle: RePEc:eee:ejores:v:195:y:2009:i:1:p:89-97

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    Web page: http://www.elsevier.com/locate/eor

    Related research

    Keywords: Scheduling Single machine Dual criteria Earliness Number of tardy jobs;

    References

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    1. Wan, Guohua & Yen, Benjamin P. -C., 2002. "Tabu search for single machine scheduling with distinct due windows and weighted earliness/tardiness penalties," European Journal of Operational Research, Elsevier, vol. 142(2), pages 271-281, October.
    2. Koksalan, Murat & Burak Keha, Ahmet, 2003. "Using genetic algorithms for single-machine bicriteria scheduling problems," European Journal of Operational Research, Elsevier, vol. 145(3), pages 543-556, March.
    3. Sridharan, V. & Zhou, Z., 1996. "A decision theory based scheduling procedure for single-machine weighted earliness and tardiness problems," European Journal of Operational Research, Elsevier, vol. 94(2), pages 292-301, October.
    4. Mazzini, Renata & Armentano, Vinicius A., 2001. "A heuristic for single machine scheduling with early and tardy costs," European Journal of Operational Research, Elsevier, vol. 128(1), pages 129-146, January.
    5. Chen, Chuen-Lung & Bulfin, Robert L., 1993. "Complexity of single machine, multi-criteria scheduling problems," European Journal of Operational Research, Elsevier, vol. 70(1), pages 115-125, October.
    6. Pathumnakul, Supachai & Egbelu, Pius J., 2005. "Algorithm for minimizing weighted earliness penalty in single-machine problem," European Journal of Operational Research, Elsevier, vol. 161(3), pages 780-796, March.
    7. Chand, Suresh & Schneeberger, Hans, 1988. "Single machine scheduling to minimize weighted earliness subject to no tardy jobs," European Journal of Operational Research, Elsevier, vol. 34(2), pages 221-230, March.
    8. Nagar, Amit & Haddock, Jorge & Heragu, Sunderesh, 1995. "Multiple and bicriteria scheduling: A literature survey," European Journal of Operational Research, Elsevier, vol. 81(1), pages 88-104, February.
    9. Hino, Celso M. & Ronconi, Debora P. & Mendes, Andre B., 2005. "Minimizing earliness and tardiness penalties in a single-machine problem with a common due date," European Journal of Operational Research, Elsevier, vol. 160(1), pages 190-201, January.
    10. Guner, Ertan & Erol, Serpil & Tani, Kazuo, 1998. "One machine scheduling to minimize the maximum earliness with minimum number of tardy jobs," International Journal of Production Economics, Elsevier, vol. 55(2), pages 213-219, July.
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    Cited by:
    1. Grundel, Soesja & Çiftçi, Barış & Borm, Peter & Hamers, Herbert, 2013. "Family sequencing and cooperation," European Journal of Operational Research, Elsevier, vol. 226(3), pages 414-424.

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