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An MILP model for planning of batch plants operating in a campaign-mode

Author

Listed:
  • Yanina Fumero

    (INGAR - Instituto de Desarrollo y Diseño (CONICET-UTN))

  • Gabriela Corsano

    (INGAR - Instituto de Desarrollo y Diseño (CONICET-UTN))

  • Jorge M. Montagna

    (INGAR - Instituto de Desarrollo y Diseño (CONICET-UTN))

Abstract

A mixed integer linear programming (MILP) for the detailed production planning of multiproduct batch plants is presented in this work. New timing decisions are incorporated to the model taking into account that an operation mode based in campaigns is adopted. This operation mode assures a more efficient production management adjusted to the specific context conditions of the considered time horizon. In addition, special considerations as sequence-dependent changeover times and different unit sizes for parallel units in each stage are taken into account. The problem consists of determining the amount of each product to be produced, stored and sold over the given time horizon, the composition of the production campaign (number of batches and their sizes), the assignment, sequencing and timing of batches, and the number of repetitions of the campaign, for a given plant with known product recipes. The objective is to maximize the net profit fulfilling the minimum and maximum product demands. The proposed model provides a useful tool for solving the optimal campaign planning of installed facilities in reasonable computation time, taking different decisions about the operations management.

Suggested Citation

  • Yanina Fumero & Gabriela Corsano & Jorge M. Montagna, 2017. "An MILP model for planning of batch plants operating in a campaign-mode," Annals of Operations Research, Springer, vol. 258(2), pages 415-435, November.
    • Handle: RePEc:spr:annopr:v:258:y:2017:i:2:d:10.1007_s10479-016-2301-6
    DOI: 10.1007/s10479-016-2301-6
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    References listed on IDEAS

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    1. Bilge Bilgen & Yelda Çelebi, 2013. "Integrated production scheduling and distribution planning in dairy supply chain by hybrid modelling," Annals of Operations Research, Springer, vol. 211(1), pages 55-82, December.
    2. Songsong Liu & Jose Pinto & Lazaros Papageorgiou, 2010. "MILP-based approaches for medium-term planning of single-stage continuous multiproduct plants with parallel units," Computational Management Science, Springer, vol. 7(4), pages 407-435, October.
    3. Fred Glover, 1975. "Improved Linear Integer Programming Formulations of Nonlinear Integer Problems," Management Science, INFORMS, vol. 22(4), pages 455-460, December.
    4. Yanina Fumero & Gabriela Corsano & Jorge Montagna, 2012. "Planning and scheduling of multistage multiproduct batch plants operating under production campaigns," Annals of Operations Research, Springer, vol. 199(1), pages 249-268, October.
    5. Elvin Coban & J. Hooker, 2013. "Single-facility scheduling by logic-based Benders decomposition," Annals of Operations Research, Springer, vol. 210(1), pages 245-272, November.
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