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Development of M -Stage Decision Rule for Scheduling N Jobs Through M Machines

Author

Listed:
  • Richard A. Dudek

    (Texas Technological College, Lubbock)

  • Ottis Foy Teuton

    (Texas Technological College, Lubbock)

Abstract

This paper describes an algorithm that will yield an optimum sequence for n jobs requiring processing through M machines when no passing is allowed. Theoretical development utilizing combinatorial analysis precedes the algorithm and an example problem.

Suggested Citation

  • Richard A. Dudek & Ottis Foy Teuton, 1964. "Development of M -Stage Decision Rule for Scheduling N Jobs Through M Machines," Operations Research, INFORMS, vol. 12(3), pages 471-497, June.
    • Handle: RePEc:inm:oropre:v:12:y:1964:i:3:p:471-497
    DOI: 10.1287/opre.12.3.471
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    Citations

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    Cited by:

    1. Mitra, Manipushpak, 2005. "Incomplete information and multiple machine queueing problems," European Journal of Operational Research, Elsevier, vol. 165(1), pages 251-266, August.
    2. J M Framinan & J N D Gupta & R Leisten, 2004. "A review and classification of heuristics for permutation flow-shop scheduling with makespan objective," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(12), pages 1243-1255, December.
    3. Ruiz, Ruben & Maroto, Concepcion, 2005. "A comprehensive review and evaluation of permutation flowshop heuristics," European Journal of Operational Research, Elsevier, vol. 165(2), pages 479-494, September.
    4. Gupta, Jatinder N.D. & Stafford, Edward Jr., 2006. "Flowshop scheduling research after five decades," European Journal of Operational Research, Elsevier, vol. 169(3), pages 699-711, March.
    5. Zegordi, Seyed Hessameddin & Itoh, Kenji & Enkawa, Takao, 1995. "Minimizing makespan for flow shop scheduling by combining simulated annealing with sequencing knowledge," European Journal of Operational Research, Elsevier, vol. 85(3), pages 515-531, September.
    6. Jinliang Cheng & Hiroshi Kise & Hironori Matsumoto, 1997. "A branch-and-bound algorithm with fuzzy inference for a permutation flowshop scheduling problem," European Journal of Operational Research, Elsevier, vol. 96(3), pages 578-590, February.
    7. Framinan, Jose M. & Leisten, Rainer, 2006. "A heuristic for scheduling a permutation flowshop with makespan objective subject to maximum tardiness," International Journal of Production Economics, Elsevier, vol. 99(1-2), pages 28-40, February.
    8. Fernando Luis Rossi & Marcelo Seido Nagano, 2022. "Beam search-based heuristics for the mixed no-idle flowshop with total flowtime criterion," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(4), pages 1311-1346, December.
    9. F T Tseng & E F Stafford, 2008. "New MILP models for the permutation flowshop problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(10), pages 1373-1386, October.

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