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dc.contributor.authorParedes-Torres, Franco
dc.contributor.authorAlmeyda-Crisostomo, Genesis
dc.contributor.authorViacava-Campos, Gino
dc.contributor.authorAderhold, Daniel
dc.date.accessioned2021-05-18T12:21:13Z
dc.date.available2021-05-18T12:21:13Z
dc.date.issued2021-01-01
dc.identifier.issn21945357
dc.identifier.doi10.1007/978-3-030-55307-4_81
dc.identifier.urihttp://hdl.handle.net/10757/656030
dc.descriptionEl texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.en_US
dc.description.abstractThe retail sector is a growing industry, however with serious problems associated with inventories such as stock breakage. This article proposes a collaborative model applying the S&OP methodology to reduce stock breakages in a Peruvian company in the retail sector through a purchasing plan designed by the interaction and participation of different actors in charge of the process. The results of the model are measured by the percentage of stock breaks, the demand forecast error and the increase in sales. In the diagnosis of the problem two factors were identified that cause the stock breaks. The first is caused by the delay that exists in the replenishment of inventories, due to the bad programming of delivery of products between the distribution center and the stores. The second is related to the insufficient amount of purchases caused by not properly categorizing the products, poor forecast and not having safety inventory policies. A simulation resulted in a 17% stock breakage reduction, a 17% forecast error decrease, and a 15% sales increase.en_US
dc.formatapplication/htmlen_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.urlhttps://www.springerprofessional.de/en/collaborative-model-to-reduce-stock-breaks-in-the-peruvian-retai/18251804en_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.sourceUniversidad Peruana de Ciencias Aplicadas (UPC)es_PE
dc.sourceRepositorio Académico - UPCes_PE
dc.subjectForecasten_US
dc.subjectInventoriesen_US
dc.subjectProcessesen_US
dc.subjectRetailen_US
dc.subjectS&OPen_US
dc.titleCollaborative model to reduce stock breaks in the peruvian retail sector by applying the s&op methodologyen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.identifier.eissn21945365
dc.identifier.journalAdvances in Intelligent Systems and Computingen_US
dc.identifier.eid2-s2.0-85089621625
dc.identifier.scopusidSCOPUS_ID:85089621625
dc.source.journaltitleAdvances in Intelligent Systems and Computing
dc.source.volume1253 AISC
dc.source.beginpage532
dc.source.endpage538
dc.identifier.isni0000 0001 2196 144X


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