dc.contributor.author | Quiroz Flores, Juan Carlos | |
dc.contributor.author | Canales Huaman, Daniela Steisy | |
dc.contributor.author | Gamio Valdivia, Karina Guiuliana | |
dc.contributor.other | Quiroz Flores, Juan Carlos | |
dc.date.accessioned | 2023-02-13T16:52:56Z | |
dc.date.available | 2023-02-13T16:52:56Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Canales-Huaman, D. S., Gamio-Valdivia, D. S. & Quiroz-Flores, J. C. (2022). Integrated Lean Logistics-Warehousing model to reduce Lead Time in an SME of food sector: A research in Peru. In 2022 The 3rd International Conference on Industrial Engineering and Industrial Management (pp. 182-188). https://doi.org/10.1145/3524338.3524366 | es_PE |
dc.identifier.uri | https://hdl.handle.net/20.500.12724/17617 | |
dc.description.abstract | The food industry represented 2019 3.2% of the Gross Domestic Product (GDP) in Peru, in addition to presenting high employability being that the sector contained 7.4% of the Economically Active Population (EAP) [1]. However, due to the world crisis caused by COVID 19, this sector has been harmed in the year 2020 because the GDP of the accommodation and restaurants sector decreased by 50.2% compared to the previous year [2]. For that reason, strengthening this industry is considered crucial. One of the most critical links in the management of the supply chain of material, this problem results in the late delivery of orders to their customers, which would generate significant monetary losses and a bad reputation. In this sense, the present research proposes an integral improvement model based on the combination of tools such as the 5S ordering of raw material under a multi-criteria ABC approach, FEFO, MRP, Forecasting, and BPM, whose objective is to reduce the lead time. The model was validated through a simulation in Arena 16.1, where a reduction in delivery time and the frequency of extra purchases in 7.2% y 50%. | es_PE |
dc.format | application/pdf | |
dc.language.iso | eng | |
dc.publisher | Association for Computing Machinery | es_PE |
dc.relation.ispartof | urn:isbn:978-145039569-4 | |
dc.rights | info:eu-repo/semantics/restrictedAccess | * |
dc.source | Repositorio Institucional Ulima | es_PE |
dc.source | Universidad de Lima | es_PE |
dc.subject | Industria alimentaria | es_PE |
dc.subject | Producción eficiente | es_PE |
dc.subject | Almacenamiento industrial | es_PE |
dc.subject | Logística empresarial | es_PE |
dc.subject | Food industry | es_PE |
dc.subject | Lean manufacturing | es_PE |
dc.subject | Industrial storage | es_PE |
dc.subject | Business logistics | es_PE |
dc.title | Integrated Lean Logistics - Warehousing model to reduce Lead Time in an SME of food sector: A research in Peru | es_PE |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.type.other | Artículo de conferencia en Scopus | |
ulima.areas.lineasdeinvestigacion | Desarrollo empresarial / Operaciones y logística | es_PE |
dc.publisher.country | US | es_PE |
dc.subject.ocde | https://purl.org/pe-repo/ocde/ford#2.11.04 | |
dc.identifier.doi | https://doi.org/10.1145/3524338.3524366 | |
dc.contributor.student | Canales Huaman, Daniela Steisy (Ingeniería Industrial) | |
dc.contributor.student | Gamio Valdivia, Karina Guiuliana (Ingeniería Industrial) | |
ulima.cat | 9 | |
ulima.autor.afiliacion | Facultad de Ingenieria y Arquitectura, Universidad de Lima | es_PE |
ulima.autor.carrera | Ingeniería Industrial | es_PE |
dc.identifier.scopusid | 2-s2.0-85132025650 | |
dc.identifier.event | ACM International Conference Proceeding Series | |