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A Case Study of Smart Industry in Uruguay: Grain Production Facility Optimization

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Smart Cities (ICSC-Cities 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1555))

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Abstract

This article presents a Mixed-Integer Linear Programming model for cost optimization in multi-product multi-line production scheduling. The proposed model applies discrete time windows and includes realistic constraints. The model is validated on a specific case study from a real Uruguayan grain production facility. Results of the evaluation indicate that the proposed model improves over the current ad-hoc heuristic planning, reducing up to 10.4% the overall production costs.

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Authors and Affiliations

  1. Universidad de la República, Montevideo, Uruguay

    Gabriel Bayá, Franco Robledo, Eduardo Canale & Sergio Nesmachnow

  2. Universidad de Montevideo, Montevideo, Uruguay

    Pablo Sartor

Authors
  1. Gabriel Bayá
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  2. Pablo Sartor
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  3. Franco Robledo
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  4. Eduardo Canale
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  5. Sergio Nesmachnow
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Corresponding author

Correspondence to Gabriel Bayá .

Editor information

Editors and Affiliations

  1. Universidad de la República, Montevideo, Uruguay

    Sergio Nesmachnow

  2. University of Valladolid, Soria, Spain

    Luis Hernández Callejo

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Bayá, G., Sartor, P., Robledo, F., Canale, E., Nesmachnow, S. (2022). A Case Study of Smart Industry in Uruguay: Grain Production Facility Optimization. In: Nesmachnow, S., Hernández Callejo, L. (eds) Smart Cities. ICSC-Cities 2021. Communications in Computer and Information Science, vol 1555. Springer, Cham. https://doi.org/10.1007/978-3-030-96753-6_8

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  • DOI: https://doi.org/10.1007/978-3-030-96753-6_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-96752-9

  • Online ISBN: 978-3-030-96753-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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