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MILP models for the optimization of real production lines

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  • Tamás Hajba
  • Zoltán Horváth

Abstract

A special class of the permutation flow shop problems (PFSPs) with makespan minimization which contains repeated jobs, limited buffer sizes between the machines and fixed number of palettes that carry the jobs on the production line is introduced in this paper. We define the related PB-R-PFSP, the Permutation with Repetition Flow Shop Problem with Palettes and Buffers, and construct new mixed integer linear programming (MILP) models for this problem. The effectiveness of the MILP models and the influence of the number of palettes and buffers on the problems are investigated experimentally. Copyright Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Tamás Hajba & Zoltán Horváth, 2015. "MILP models for the optimization of real production lines," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(4), pages 899-912, December.
    • Handle: RePEc:spr:cejnor:v:23:y:2015:i:4:p:899-912
    DOI: 10.1007/s10100-014-0337-8
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    References listed on IDEAS

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    1. Débora P. Ronconi & Ernesto G. Birgin, 2012. "Mixed-Integer Programming Models for Flowshop Scheduling Problems Minimizing the Total Earliness and Tardiness," Springer Optimization and Its Applications, in: Roger Z. Ríos-Mercado & Yasmín A. Ríos-Solís (ed.), Just-in-Time Systems, chapter 0, pages 91-105, Springer.
    2. Tseng, Fan T. & Stafford, Edward F. & Gupta, Jatinder N. D., 2004. "An empirical analysis of integer programming formulations for the permutation flowshop," Omega, Elsevier, vol. 32(4), pages 285-293, August.
    3. Stafford, Edward F. & Tseng, Fan T., 2002. "Two models for a family of flowshop sequencing problems," European Journal of Operational Research, Elsevier, vol. 142(2), pages 282-293, October.
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    5. 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.
    6. E F Stafford & F T Tseng & J N D Gupta, 2005. "Comparative evaluation of MILP flowshop models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(1), pages 88-101, January.
    7. Tamás Hajba & Zoltán Horváth, 2013. "New effective MILP models for PFSPs arising from real applications," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 21(4), pages 729-744, December.
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    Cited by:

    1. Michał Ćwik & Jerzy Józefczyk, 2018. "Heuristic algorithms for the minmax regret flow-shop problem with interval processing times," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(1), pages 215-238, March.
    2. Botond Bertók & Tibor Csendes & Tibor Illés, 2015. "Editorial," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(4), pages 811-813, December.

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