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

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.
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https://hal.archives-ouvertes.fr/hal-01723854
Contributor : Thibaud Monteiro <>
Submitted on : Monday, March 5, 2018 - 6:27:45 PM
Last modification on : Wednesday, November 20, 2019 - 3:08:00 AM

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Linjie Chen, Thibaud Monteiro, Tao Wang, Eric Marcon. Design of shared unit-dose drug distribution network using multi-level particle swarm optimization. Health Care Management Science, Springer Verlag, 2019, 22 (2), pp.304-317. ⟨10.1007/s10729-018-9438-6⟩. ⟨hal-01723854⟩

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