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Modeling Strategy for Supply Chain Design Considering Multiple Periods and Backlogging

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Applied Computer Sciences in Engineering (WEA 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 916))

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Abstract

This paper presents a mathematical model to optimize the supply chain design considering a planning horizon with multiple periods and backlogging. The objective function aims to minimize the sum of transportation, inventory holding and backlogging costs. The model is represented in a graph, generalizing a minimum cost flow problem. A study case for a manufacturing company is presented and results are analyzed.

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Author information

Authors and Affiliations

  1. Universidad Distrital Francisco José de Caldas, Bogotá, Colombia

    César Amilcar López Bello & José Ignacio Rodríguez Molano

  2. Faculty of Engineering, Universidad de La Sabana, Chía, Colombia

    César Amilcar López Bello & William J. Guerrero

Authors
  1. César Amilcar López Bello
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  2. William J. Guerrero
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  3. José Ignacio Rodríguez Molano
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Corresponding author

Correspondence to William J. Guerrero .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Universidad Distrital Francisco José de Caldas, Bogotá, Colombia

    Juan Carlos Figueroa-García

  2. Department of Industrial Engineering, University of Antioquia, Medellín, Colombia

    Juan G. Villegas

  3. Department of Electronics and Telecomunications Engineering, University of Antioquia, Medellín, Colombia

    Juan Rafael Orozco-Arroyave

  4. Department of Industrial Engineering, University of Antioquia, Medellín, Colombia

    Pablo Andres Maya Duque

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López Bello, C.A., Guerrero, W.J., Rodríguez Molano, J.I. (2018). Modeling Strategy for Supply Chain Design Considering Multiple Periods and Backlogging. In: Figueroa-García, J., Villegas, J., Orozco-Arroyave, J., Maya Duque, P. (eds) Applied Computer Sciences in Engineering. WEA 2018. Communications in Computer and Information Science, vol 916. Springer, Cham. https://doi.org/10.1007/978-3-030-00353-1_8

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  • DOI: https://doi.org/10.1007/978-3-030-00353-1_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00352-4

  • Online ISBN: 978-3-030-00353-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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