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International Conference on the Applications of Evolutionary Computation (Part of EvoStar)

EvoApplications 2021: Applications of Evolutionary Computation pp 388–403Cite as

A Multi-objective Multi-type Facility Location Problem for the Delivery of Personalised Medicine

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12694))

Abstract

Advances in personalised medicine targeting specific sub-populations and individuals pose a challenge to the traditional pharmaceutical industry. With a higher level of personalisation, an already critical supply chain is facing additional demands added by the very sensitive nature of its products. Nevertheless, studies concerned with the efficient development and delivery of these products are scarce. Thus, this paper presents the case of personalised medicine and the challenges imposed by its mass delivery. We propose a multi-objective mathematical model for the location-allocation problem with two interdependent facility types in the case of personalised medicine products. We show its practical application through a cell and gene therapy case study. A multi-objective genetic algorithm with a novel population initialisation procedure is used as solution method.

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Notes

  1. 1.

    A temperature-controlled supply chain that maintains a product viable through decreases in temperature.

  2. 2.

    Code for both MOO algorithms is available at doi: 10.5281/zenodo.4495163.

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Acknowledgements

We thank Biopharm Services for their assistance with this project. Biopharm provided us with extensive datasets and invaluable feedback on the research. Their contribution has significantly increased the quality and accuracy of this paper. M. López-Ibáñez is a “Beatriz Galindo” Senior Distinguished Researcher (BEAGAL 18/00053) funded by the Ministry of Science and Innovation of the Spanish Government.

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Authors and Affiliations

  1. Alliance Manchester Business School, University of Manchester, Manchester, M15 6PB, UK

    Andreea Avramescu, Richard Allmendinger & Manuel López-Ibáñez

  2. School of Computer Science, University of Málaga, 29071, Málaga, Spain

    Manuel López-Ibáñez

Authors
  1. Andreea Avramescu
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  2. Richard Allmendinger
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  3. Manuel López-Ibáñez
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Correspondence to Andreea Avramescu .

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Editors and Affiliations

  1. ETSIIT-CITIC, University of Granada, Granada, Spain

    Pedro A. Castillo

  2. Université Le Havre Normandie, Le Havre, France

    Juan Luis Jiménez Laredo

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Avramescu, A., Allmendinger, R., López-Ibáñez, M. (2021). A Multi-objective Multi-type Facility Location Problem for the Delivery of Personalised Medicine. In: Castillo, P.A., Jiménez Laredo, J.L. (eds) Applications of Evolutionary Computation. EvoApplications 2021. Lecture Notes in Computer Science(), vol 12694. Springer, Cham. https://doi.org/10.1007/978-3-030-72699-7_25

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  • DOI: https://doi.org/10.1007/978-3-030-72699-7_25

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