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Mathematical Programming Models for Sustainable Inventory Management in a Supply Chain

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IoT and Data Science in Engineering Management (CIO 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 160))

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Abstract

Supply chain network design is a systematic approach to determine the best combination of facilities, suppliers and products using mathematical modelling. Inventory management models aim to strike a balance between customer satisfaction and inventory carrying costs based on order size and timing decisions. Demand volatility is the reason for holding inventory. Here four mathematical programming inventory management models that consider some sustainability factors in a green supply chain context are studied.

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Acknowledgment

The research leading to these results received funding from the Regional Department of Innovation, Universities, Science and Digital Society of the Generalitat Valenciana entitled “Industrial Production and Logistics Optimization in Industry 4.0” (i4OPT) (Ref. PROMETEO/2021/065). It was also funded by the National Agency for Research and Development (ANID)/Scholarship Program/Doctorado Becas en el Extranjero/2020 - 72210174.

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Authors and Affiliations

  1. Research Centre on Production Management and Engineering (CIGIP), Universitat Politècnica de València, C/ Alarcón, 1, 03801, Alcoy, Alicante, Spain

    Pablo Becerra, Josefa Mula & Raquel Sanchis

  2. Universidad de Atacama, Copayapu 485, 1530000, Copiapó, Región de Atacama, Chile

    Pablo Becerra

Authors
  1. Pablo Becerra
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  2. Josefa Mula
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  3. Raquel Sanchis
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Corresponding author

Correspondence to Raquel Sanchis .

Editor information

Editors and Affiliations

  1. Ingenium Research Group, University of Castilla-La Mancha, Ciudad Real, Spain

    Fausto Pedro García Márquez

  2. Ingenium Research Group, University of Castilla-La Mancha, Ciudad Real, Spain

    Isaac Segovia Ramírez

  3. Ingenium Research Group, University of Castilla-La Mancha, Ciudad Real, Spain

    Pedro José Bernalte Sánchez

  4. Ingenium Research Group, University of Castilla-La Mancha, Ciudad Real, Spain

    Alba Muñoz del Río

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Becerra, P., Mula, J., Sanchis, R. (2023). Mathematical Programming Models for Sustainable Inventory Management in a Supply Chain. In: García Márquez, F.P., Segovia Ramírez, I., Bernalte Sánchez, P.J., Muñoz del Río, A. (eds) IoT and Data Science in Engineering Management. CIO 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 160. Springer, Cham. https://doi.org/10.1007/978-3-031-27915-7_29

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  • DOI: https://doi.org/10.1007/978-3-031-27915-7_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-27914-0

  • Online ISBN: 978-3-031-27915-7

  • eBook Packages: EngineeringEngineering (R0)

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