Design of shared unit-dose drug distribution network using multi-level particle swarm optimization
| Autor: | Tao Wang, Eric Marcon, Linjie Chen, Thibaud Monteiro |
|---|---|
| Přispěvatelé: | Laboratoire d'Analyse des Signaux et des Processus Industriels (LASPI), Université Jean Monnet [Saint-Étienne] (UJM), Décision et Information pour les Systèmes de Production (DISP), Université Lumière - Lyon 2 (UL2)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA), Central University of Finance and Economics [Beijing], Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA) |
| Rok vydání: | 2018 |
| Předmět: |
Meta-heuristic
Medication Systems Hospital Mathematical optimization Computer science Process (engineering) Medicine (miscellaneous) Time saving Unit (housing) Automation 03 medical and health sciences Capacitated location routing problem 0302 clinical medicine Order (exchange) Logistic management Facility location Humans 030212 general & internal medicine Structure (mathematical logic) Particle swarm optimization 030503 health policy & services [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO] Models Theoretical Facility location problem Patient safety Production planning General Health Professions Multi-level optimization France Pharmacy Service Hospital 0305 other medical science Algorithms Process improvement |
| Zdroj: | Health Care Management Science Health Care Management Science, Springer Verlag, 2019, 22 (2), pp.304-317. ⟨10.1007/s10729-018-9438-6⟩ |
| ISSN: | 1572-9389 1386-9620 |
| DOI: | 10.1007/s10729-018-9438-6 |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
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