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Combinatorial evaluation of six dispatching rules in a dynamic two-machine flow shop

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  • Sarper, H.
  • Henry, M. C.

Abstract

The paper applies permutations of six dispatching rules to a two-machine dynamic flow shop operating as a Poisson process. The size of the second queue is later limited to study the effect of limited buffer space. The performance measures examined are mean and maximum flow times, mean tardiness, and the mean absolute lateness. The best permutations for each case are determined statistically.

Suggested Citation

  • Sarper, H. & Henry, M. C., 1996. "Combinatorial evaluation of six dispatching rules in a dynamic two-machine flow shop," Omega, Elsevier, vol. 24(1), pages 73-81, February.
    • Handle: RePEc:eee:jomega:v:24:y:1996:i:1:p:73-81
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    References listed on IDEAS

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    1. Ramasesh, R, 1990. "Dynamic job shop scheduling: A survey of simulation research," Omega, Elsevier, vol. 18(1), pages 43-57.
    2. Suresh, V. & Chaudhuri, Dipak, 1993. "Dynamic scheduling--a survey of research," International Journal of Production Economics, Elsevier, vol. 32(1), pages 53-63, August.
    3. Hunsucker, J. L. & Shah, J. R., 1994. "Comparative performance analysis of priority rules in a constrained flow shop with multiple processors environment," European Journal of Operational Research, Elsevier, vol. 72(1), pages 102-114, January.
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    6. Lau, Hon-Shiang, 1994. "Allocating work to a two-stage production system with interstage buffer," International Journal of Production Economics, Elsevier, vol. 36(3), pages 281-289, October.
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    8. Kenneth R. Baker, 1984. "Sequencing Rules and Due-Date Assignments in a Job Shop," Management Science, INFORMS, vol. 30(9), pages 1093-1104, September.
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    Cited by:

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    2. Kuo, Yiyo & Yang, Taho & Cho, Chiwoon & Tseng, Yao-Ching, 2008. "Using simulation and multi-criteria methods to provide robust solutions to dispatching problems in a flow shop with multiple processors," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(1), pages 40-56.
    3. Yang, Taho & Kuo, Yiyo & Cho, Chiwoon, 2007. "A genetic algorithms simulation approach for the multi-attribute combinatorial dispatching decision problem," European Journal of Operational Research, Elsevier, vol. 176(3), pages 1859-1873, February.
    4. Yunna Tian & Dongni Li & Pengyu Zhou & Rongtao Guo & Zhaohe Liu, 2018. "An ACO-based hyperheuristic with dynamic decision blocks for intercell scheduling," Journal of Intelligent Manufacturing, Springer, vol. 29(8), pages 1905-1921, December.

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