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dc.contributor.authorLadera Mejia, Alexandra Gianella
dc.contributor.authorPun Gutierrez, Xiomara Stephanie
dc.contributor.authorQuiroz Flores, Juan Carlos
dc.contributor.authorFlores Pérez, Alberto Enrique
dc.contributor.otherQuiroz Flores, Juan Carlos
dc.contributor.otherFlores Pérez, Alberto Enrique
dc.date.accessioned2023-03-21T19:53:03Z
dc.date.available2023-03-21T19:53:03Z
dc.date.issued2022
dc.identifier.citationLadera-Mejia, A. G., Pun-Gutierrez, X. S., Quiroz-Flores, J. C. & Flores-Perez, A. E. (2022). Digital Transformation Model Based on Business Process Management and Lean Manufacturing to Increase the Productivity of the Administrative Area of a Peruvian Aeronautical Company. In Proceedings of the 8th International Conference on Industrial and Business Engineering, ICIBE 2022, Macau, China, September 2022, 145-153. https://doi.org/10.1145/3568834.3568852es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12724/17953
dc.description.abstractThe aviation sector has suffered the effects of the pandemic as the industry's problems have become more evident due to operational constraints. The challenging and uncertain scenario has made the airline industry adapt its business to innovative alternatives based on efficient and digital strategies associated with the sector's low productivity and the efficiency of each process. According to the reports, a series of failures were observed in the Maintenance Administrative Area, which is in charge of managing the work shifts of each technician in charge of aircraft maintenance, identifying that the most significant productivity problem in the area is based on the inefficient attention of requests to technical personnel. Therefore, a new model based on digital transformation was established by applying Business Process Management and Lean Manufacturing, in which the implementation of an ERP system connected to a self-service digital platform stands out. The main objective of this research is to increase productivity through the proposed new model and reduce unproductive times. Initially, the current case was analyzed, the improvements were identified, and the simulation was performed in the Arena software version 16; giving as a result of the validation, the increase of attention rate by 26.4%, the reduction of the rejection rate by 2.09%, the increase of the registration efficiency by 32.59%, and a significant reduction of the cycle time by 87.37%; obtaining as a key result the increase of productivity by 18.62%, achieving a precedent that contributes to the optimization of the processes in the aeronautical sector.es_PE
dc.formatapplication/pdf
dc.language.isoeng
dc.publisherAssociation for Computing Machineryes_PE
dc.relation.ispartofurn:isbn: 978-145039758-2
dc.rightsinfo:eu-repo/semantics/restrictedAccess*
dc.sourceRepositorio Institucional Ulimaes_PE
dc.sourceUniversidad de Limaes_PE
dc.subjectProductividades_PE
dc.subjectProducción eficientees_PE
dc.subjectLíneas aéreases_PE
dc.subjectProductivityes_PE
dc.subjectLean manufacturinges_PE
dc.subjectAirlineses_PE
dc.subjectPerúes_PE
dc.titleDigital Transformation Model Based on Business Process Management and Lean Manufacturing to Increase the Productivity of the Administrative Area of a Peruvian Aeronautical Companyes_PE
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.otherArtículo de conferencia en Scopus
ulima.areas.lineasdeinvestigacionCalidad de vida y bienestar / Transporte y comunicaciónes_PE
dc.publisher.countryUSes_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.11.04
dc.identifier.doihttps://doi.org/10.1145/3568834.3568852
dc.contributor.studentLadera Mejia, Alexandra Gianella (Ingeniería Industrial)
dc.contributor.studentPun Gutierrez, Xiomara Stephanie (Ingeniería Industrial)
ulima.cat9
ulima.autor.afiliacionQuiroz Flores, Juan Carlos (Facultad de Ingeniería y Arquitectura, Universidad de Lima)es_PE
ulima.autor.afiliacionFlores Perez, Alberto Enrique (Facultad de Ingeniería y Arquitectura, Universidad de Lima)es_PE
ulima.autor.carreraQuiroz Flores, Juan Carlos (Ingeniería Industrial)es_PE
ulima.autor.carreraFlores Pérez, Alberto Enrique (Ingeniería Industrial)es_PE
dc.identifier.scopusid2-s2.0-85147442038
dc.identifier.eventACM International Conference Proceeding Series


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