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dc.contributor.authorChávez Ugaz, Rafael
dc.contributor.authorNuñez Silva, Valeria Vanessa
dc.contributor.authorPaz Bernedo, Jean Roberto
dc.contributor.otherChávez Ugaz, Rafael
dc.date.accessioned2025-04-30T16:35:48Z
dc.date.available2025-04-30T16:35:48Z
dc.date.issued2024
dc.identifier.issn2539-4320
dc.identifier.urihttps://hdl.handle.net/20.500.12724/22520
dc.description.abstractThe metalworking sector contributes 11.2% to the manufacturing sector and represents 1.4% of the national GDP. The trade within this sector grew by 21.6% in 2022; for this reason, the following article is based on the import and commercialization of metallurgical products by U.S. ITEM S.A., located in Lima, Peru. The importance of the service level is crucial for generating optimal profitability as it reduces costs associated with non-compliance; therefore, it is essential to properly plan requirements, warehouse order, and correct execution in order preparation. For this reason, the study was conducted in the warehouse area of the Chesterton product line. The application of 5S, SLP, ABC Classification, EOQ, and MRP tools was proposed to improve the on-time delivery (OTD) indicator, which due to insufficient warehouse management stands at 64.53%. By implementing a pilot plan and performing a simulation in Arena, in addition to generating a simulated model applying hypothesis analysis, the improvement of the OTD indicator by 12.58% was verified with the proposed model. © 2024 IEEE.
dc.formatapplication/html
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofurn:issn: 2539-4320
dc.sourceRepositorio Institucional - Ulima
dc.sourceUniversidad de Lima
dc.subjectPendiente
dc.titleIntegrated Lean Warehouse - DDMRP Model to Reduce Non-Fulfillment of On-Time Deliveries at the Metalworking Company U.S. ITEM S.Aen_EN
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.publisher.countryUS
dc.type.otherArtículo de conferencia en Scopus
dc.identifier.isni121541816
dc.contributor.studentNuñez Silva, Valeria Vanessa (Ingeniería Industrial)
dc.contributor.studentPaz Bernedo, Jean Roberto(Ingeniería Industrial)
dc.identifier.eventCongreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI
dc.subject.ocdePendiente
dc.identifier.doihttps://doi.org/10.1109/CONIITI64189.2024.10854852
dc.identifier.scopusid2-s2.0-105001659712


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