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Minimizing flow time in a flow-line manufacturing cell with family setup times

Author

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  • J N D Gupta

    (University of Alabama in Huntsville)

  • J E Schaller

    (Eastern Connecticut State University)

Abstract

This paper considers the problem of scheduling part families and jobs within each part family in a flowline manufacturing cell with independent family setup times where parts (jobs) in each family are processed together. The objective is to minimize total flow time. A branch-and-bound algorithm capable of solving moderate sized problems is developed. Several heuristic algorithms are proposed and empirically evaluated as to their effectiveness and efficiency in finding optimal permutation schedules. These results show that several heuristic algorithms generate solutions that are better than those generated by an existing genetic algorithm.

Suggested Citation

  • J N D Gupta & J E Schaller, 2006. "Minimizing flow time in a flow-line manufacturing cell with family setup times," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(2), pages 163-176, February.
    • Handle: RePEc:pal:jorsoc:v:57:y:2006:i:2:d:10.1057_palgrave.jors.2601971
    DOI: 10.1057/palgrave.jors.2601971
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    References listed on IDEAS

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    1. Allahverdi, Ali & Gupta, Jatinder N. D. & Aldowaisan, Tariq, 1999. "A review of scheduling research involving setup considerations," Omega, Elsevier, vol. 27(2), pages 219-239, April.
    2. Taillard, E., 1990. "Some efficient heuristic methods for the flow shop sequencing problem," European Journal of Operational Research, Elsevier, vol. 47(1), pages 65-74, July.
    3. O Etiler & B Toklu & M Atak & J Wilson, 2004. "A genetic algorithm for flow shop scheduling problems," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(8), pages 830-835, August.
    4. S I Brown & R G McGarvey & J A Ventura, 2004. "Total flowtime and makespan for a no-wait m-machine flowshop with set-up times separated," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(6), pages 614-621, June.
    5. Nawaz, Muhammad & Enscore Jr, E Emory & Ham, Inyong, 1983. "A heuristic algorithm for the m-machine, n-job flow-shop sequencing problem," Omega, Elsevier, vol. 11(1), pages 91-95.
    6. 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.
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    Citations

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    Cited by:

    1. Lin, Shih-Wei & Ying, Kuo-Ching & Lu, Chung-Cheng & Gupta, Jatinder N.D., 2011. "Applying multi-start simulated annealing to schedule a flowline manufacturing cell with sequence dependent family setup times," International Journal of Production Economics, Elsevier, vol. 130(2), pages 246-254, April.
    2. Hamed Hendizadeh, S. & Faramarzi, Hamidreza & Mansouri, S.Afshin & Gupta, Jatinder N.D. & Y ElMekkawy, Tarek, 2008. "Meta-heuristics for scheduling a flowline manufacturing cell with sequence dependent family setup times," International Journal of Production Economics, Elsevier, vol. 111(2), pages 593-605, February.
    3. Allahverdi, Ali & Ng, C.T. & Cheng, T.C.E. & Kovalyov, Mikhail Y., 2008. "A survey of scheduling problems with setup times or costs," European Journal of Operational Research, Elsevier, vol. 187(3), pages 985-1032, June.
    4. Zhuang Huang & Jianjun Yang, 2020. "Scheduling Optimization in Flowline Manufacturing Cell Considering Intercell Movement with Harmony Search Approach," Mathematics, MDPI, vol. 8(12), pages 1-21, December.
    5. Dongni Li & Xianwen Meng & Miao Li & Yunna Tian, 2016. "An ACO-based intercell scheduling approach for job shop cells with multiple single processing machines and one batch processing machine," Journal of Intelligent Manufacturing, Springer, vol. 27(2), pages 283-296, April.
    6. R Bhatnagar & V Saddikuti, 2010. "Models for cellular manufacturing systems design: matching processing requirements and operator capabilities," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(5), pages 827-839, May.

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