Design of shared unit-dose drug distribution network using multi-level particle swarm optimization View Full Text


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Article Info

DATE

2018-03-01

AUTHORS

Linjie Chen, Thibaud Monteiro, Tao Wang, Eric Marcon

ABSTRACT

Unit-dose drug distribution systems provide optimal choices in terms of medication security and efficiency for organizing the drug-use process in large hospitals. As small hospitals have to share such automatic systems for economic reasons, the structure of their logistic organization becomes a very sensitive issue. In the research reported here, we develop a generalized multi-level optimization method - multi-level particle swarm optimization (MLPSO) - to design a shared unit-dose drug distribution network. Structurally, the problem studied can be considered as a type of capacitated location-routing problem (CLRP) with new constraints related to specific production planning. This kind of problem implies that a multi-level optimization should be performed in order to minimize logistic operating costs. Our results show that with the proposed algorithm, a more suitable modeling framework, as well as computational time savings and better optimization performance are obtained than that reported in the literature on this subject. More... »

PAGES

1-14

References to SciGraph publications

  • 2010. Heterogeneous Particle Swarm Optimization in SWARM INTELLIGENCE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10729-018-9438-6

    DOI

    http://dx.doi.org/10.1007/s10729-018-9438-6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1101291312

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/29497913


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