dc.creatorTardillo, Mijail
dc.creatorTorres, Jorge
dc.creatorRamos, Edgar
dc.creatorSotelo, Fernando
dc.creatorDien, Steven
dc.date.accessioned2021-05-20T11:59:14Z
dc.date.accessioned2024-05-07T02:05:44Z
dc.date.available2021-05-20T11:59:14Z
dc.date.available2024-05-07T02:05:44Z
dc.date.created2021-05-20T11:59:14Z
dc.date.issued2021-01-01
dc.identifier21945357
dc.identifier10.1007/978-3-030-51328-3_65
dc.identifierhttp://hdl.handle.net/10757/656090
dc.identifier21945365
dc.identifierAdvances in Intelligent Systems and Computing
dc.identifier2-s2.0-85088505371
dc.identifierSCOPUS_ID:85088505371
dc.identifier0000 0001 2196 144X
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9325119
dc.description.abstractThis research describes the viability of the processes in the logistics industry of the cold chain of raspberries in Peru. The cultivation of raspberries is in the stage of potential growth opportunities for agribusiness. Output logistics is an essential part of the management of the food supply chain; this improves performance and quality in the fresh product. The cold chain and proper practice techniques preserve quality and reduce raspberry production losses by 15%. This model is based on scientific articles that are the theoretical pillars for the process methodology that develops the competitiveness of the product.
dc.languageeng
dc.publisherSpringer
dc.relationhttps://link.springer.com/chapter/10.1007%2F978-3-030-51328-3_65
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.sourceUniversidad Peruana de Ciencias Aplicadas (UPC)
dc.sourceRepositorio Académico - UPC
dc.sourceAdvances in Intelligent Systems and Computing
dc.source1213 AISC
dc.source473
dc.source480
dc.subjectAgribusiness
dc.subjectCold supply chain
dc.subjectFood supply chain
dc.subjectLogistics
dc.subjectRaspberry
dc.subjectSupply chain
dc.titleCold Supply Chain Logistics Model Applied in Raspberry: An Investigation in Perú
dc.typeinfo:eu-repo/semantics/article


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