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Location and Logistics

In: Location Science

Author

Listed:
  • Sibel A. Alumur

    (University of Waterloo)

  • Bahar Y. Kara

    (Bilkent University)

  • M. Teresa Melo

    (Saarland University of Applied Sciences)

Abstract

Facility location decisions play a critical role in designing logistics networks. This chapter provides some guidelines on how location decisions and logistics functions can be integrated into a single mathematical model to optimize the configuration of a logistics network. This will be illustrated by two generic models, one supporting the design of a forward logistics network and the other addressing the specific requirements of a reverse logistics network. Several special cases and extensions of the two models are discussed and their relation with the scientific literature is described. In addition, some interesting applications are outlined that demonstrate the interaction of location and logistics decisions. Finally, new research directions and emerging trends in logistics network design are provided.

Suggested Citation

  • Sibel A. Alumur & Bahar Y. Kara & M. Teresa Melo, 2015. "Location and Logistics," Springer Books, in: Gilbert Laporte & Stefan Nickel & Francisco Saldanha da Gama (ed.), Location Science, edition 127, chapter 0, pages 419-441, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-13111-5_16
    DOI: 10.1007/978-3-319-13111-5_16
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    Citations

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    Cited by:

    1. Martins, C.L. & Melo, M.T. & Pato, M.V., 2019. "Redesigning a food bank supply chain network in a triple bottom line context," International Journal of Production Economics, Elsevier, vol. 214(C), pages 234-247.
    2. Yılmaz, Seren Bilge & Yücel, Eda, 2021. "Optimizing onboard catering loading locations and plans for airlines," Omega, Elsevier, vol. 99(C).
    3. Martins, C. L. & Melo, Teresa & Pato, Margarida Vaz, 2016. "Redesigning a food bank supply chain network, Part I: Background and mathematical formulation," Technical Reports on Logistics of the Saarland Business School 10, Saarland University of Applied Sciences (htw saar), Saarland Business School.
    4. Correia, Isabel & Melo, Teresa, 2016. "Multi-period capacitated facility location under delayed demand satisfaction," European Journal of Operational Research, Elsevier, vol. 255(3), pages 729-746.
    5. Cortinhal, M. J. & Lopes, M. J. & Melo, M. T., 2018. "Impact of partial product outsourcing, transportation mode selection, and single-assignment requirements on the design of a multi-stage supply chain network," Technical Reports on Logistics of the Saarland Business School 15, Saarland University of Applied Sciences (htw saar), Saarland Business School.
    6. Alejandro Moya-Martínez & Mercedes Landete & Juan Francisco Monge, 2021. "Close-Enough Facility Location," Mathematics, MDPI, vol. 9(6), pages 1-17, March.
    7. Dunke, Fabian & Heckmann, Iris & Nickel, Stefan & Saldanha-da-Gama, Francisco, 2018. "Time traps in supply chains: Is optimal still good enough?," European Journal of Operational Research, Elsevier, vol. 264(3), pages 813-829.
    8. Aldrighetti, Riccardo & Battini, Daria & Ivanov, Dmitry & Zennaro, Ilenia, 2021. "Costs of resilience and disruptions in supply chain network design models: A review and future research directions," International Journal of Production Economics, Elsevier, vol. 235(C).

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