Mixed integer programming model for reverse logistics in the management of Covid vaccination waste in health facilities located in marginal areas: Case study of North Lima - Peru

dc.contributorTaquía Gutiérrez, José Antonio
dc.contributorBonilla Orrillo, Diego Alexis (Ingeniería Industrial)
dc.contributorLaureano Adriano, Carla (Ingeniería Industrial)
dc.creatorTaquía Gutiérrez, José Antonio
dc.creatorBonilla Orrillo, Diego Alexis
dc.creatorLaureano Adriano, Carla
dc.date.accessioned2023-07-12T20:23:26Z
dc.date.accessioned2024-05-08T13:19:03Z
dc.date.available2023-07-12T20:23:26Z
dc.date.available2024-05-08T13:19:03Z
dc.date.created2023-07-12T20:23:26Z
dc.date.issued2023
dc.identifierBonilla Orrillo, D. A., Laureano Adriano, C., & Taquía Gutiérrez, J. A. (2023, January). Mixed integer programming model for reverse logistics in the management of Covid vaccination waste in health facilities located in marginal areas: Case study of North Lima-Peru. In Proceedings of the 2023 10th International Conference on Industrial Engineering and Applications (pp. 35-40). https://doi.org/10.1145/3587889.3587963
dc.identifierhttps://hdl.handle.net/20.500.12724/18514
dc.identifierACM International Conference Proceeding Series
dc.identifierhttps://doi.org/10.1145/3587889.3587963
dc.identifier0000000121541816
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9355658
dc.description.abstractThe public health policies applied to mitigate the effect of the Covid 19 pandemic posed a logistical challenge due to their complexity as well as having to be implemented in the shortest possible time. In this paper we present a model applied in a low-income area in Lima, Peru. A mixed integer optimization model was designed for 32 health centers geographically distributed in areas far from the waste disposal centers and the sequence and route of waste collection was determined to minimize the cost of travel and meet the largest possible amount of vaccine waste.
dc.languageeng
dc.publisherAssociation for Computing Machinery
dc.publisherUS
dc.relationurn:isbn: 978-145039852-7
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceRepositorio Institucional - Ulima
dc.sourceUniversidad de Lima
dc.subjectVacunación
dc.subjectGestión de residuos
dc.subjectResiduos sanitarios
dc.subjectLogística
dc.subjectVaccination
dc.subjectRefuse and refuse disposal
dc.subjectMedical wastes
dc.subjectLogistics
dc.subjectCOVID-19
dc.subjectLima (Perú)
dc.titleMixed integer programming model for reverse logistics in the management of Covid vaccination waste in health facilities located in marginal areas: Case study of North Lima - Peru
dc.typeinfo:eu-repo/semantics/conferenceObject


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