Logistics Chain Optimization and Scheduling of Hospital Pharmacy Drugs Using Genetic Algorithms: Morocco Case

Autor/inn/en	El Midaoui, Marouane; Qbadou, Mohammed; Mansour, Khalifa
Titel	Logistics Chain Optimization and Scheduling of Hospital Pharmacy Drugs Using Genetic Algorithms: Morocco Case
Quelle	In: International Journal of Web-Based Learning and Teaching Technologies, 16 (2021) 2, S.54-64, Artikel 4 (11 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (El Midaoui, Marouane) ORCID (Qbadou, Mohammed)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1548-1093
Schlagwörter	Foreign Countries; Health Services; Hospitals; Pharmacy; Drug Therapy; Delivery Systems; Mathematics; Geographic Regions; Transportation; Simulation; Proximity; Morocco + Suchen Sie Ihr Suchwort? Ausland; Health service; Gesundheitsdienst; Gesundheitswesen; Krankengymnast; Krankenhaus; Apotheke; Auslieferung; Mathematik; Verkehrswesen; Simulation program; Simulationsprogramm; Lebensnähe; Marokko
Abstract	In recent years, the health sector has faced increasingly important challenges. Due to the economic crisis and competitions, hospitals are facing many issues affecting the supply chain, such as budget cuts or lack thereof as well as insufficient human resources. Although essential for an excellent service, logistics take up a considerable part of the budget as challenges need to be addressed such as delays in drugs delivery, transportation and storage conditions, routing and scheduling. As to governance, each hospital is assigned to a specific region, which cannot be defined due to political, demographic, or geographic issues. This paper focuses on multi-depot vehicle routing problem (MDVRP) in healthcare logistics to feed the hospital pharmacies. The idea is to apply MDVRP's approach to the health sector, specifically hospital pharmacies. In this projection, hospitals are considered to present clients, and central pharmacies present deposits. This problem (the MDVRP) is known by this nature NP-hard. For that, the heuristic method was used as genetic algorithm to solve the problem. The paper is organized as follows, the first section discusses, compares, and proposes clustering methods for healthcare facilities with applying them on Moroccan hospitals case; the second section proposes a genetic algorithm to resolve the MDVRP with a simulation. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01