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Production planning and scheduling optimization model: a case of study for a glass container company

Author

Listed:
  • Laura Hervert-Escobar

    (Instituto Tecnológico de Estudios Superiores de Monterrey
    SINTEC)

  • Jesus Fabián López-Pérez

    (SINTEC)

Abstract

Based on a case study, this paper deals with the production planning and scheduling problem of the glass container industry. This is a facility production system that has a set of furnaces where the glass is produced in order to meet the demand, being afterwards distributed to a set of parallel molding machines. Due to huge setup times involved in a color changeover, manufacturers adopt their own mix of furnaces and machines to meet the needs of their customers as flexibly and efficiently as possible. In this paper we proposed an optimization model that maximizes the fulfillment of the demand considering typical constraints from the planning production formulation as well as real case production constraints such as the limited product changeovers and the minimum run length in a machine. The complexity of the proposed model is assessed by means of an industrial real instance.

Suggested Citation

  • Laura Hervert-Escobar & Jesus Fabián López-Pérez, 2020. "Production planning and scheduling optimization model: a case of study for a glass container company," Annals of Operations Research, Springer, vol. 286(1), pages 529-543, March.
  • Handle: RePEc:spr:annopr:v:286:y:2020:i:1:d:10.1007_s10479-018-3099-1
    DOI: 10.1007/s10479-018-3099-1
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    References listed on IDEAS

    as
    1. R. J. Paul, 1979. "A Production Scheduling Problem in the Glass-Container Industry," Operations Research, INFORMS, vol. 27(2), pages 290-302, April.
    2. Karina Copil & Martin Wörbelauer & Herbert Meyr & Horst Tempelmeier, 2017. "Simultaneous lotsizing and scheduling problems: a classification and review of models," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(1), pages 1-64, January.
    3. Wei, Wenchao & Guimarães, Luis & Amorim, Pedro & Almada-Lobo, Bernardo, 2017. "Tactical production and distribution planning with dependency issues on the production process," Omega, Elsevier, vol. 67(C), pages 99-114.
    4. Bernardo Almada-Lobo & Diego Klabjan & Maria Carravilla & José Oliveira, 2010. "Multiple machine continuous setup lotsizing with sequence-dependent setups," Computational Optimization and Applications, Springer, vol. 47(3), pages 529-552, November.
    5. Camargo, Victor C.B. & Toledo, Franklina M.B. & Almada-Lobo, Bernardo, 2014. "HOPS – Hamming-Oriented Partition Search for production planning in the spinning industry," European Journal of Operational Research, Elsevier, vol. 234(1), pages 266-277.
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    Cited by:

    1. Wen-Hsien Tsai & Shang-Yu Lai & Chu-Lun Hsieh, 2023. "Exploring the impact of different carbon emission cost models on corporate profitability," Annals of Operations Research, Springer, vol. 322(1), pages 41-74, March.

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