Management Projects Model to Reduce Lead Time of Base Station Telecom Construction in SME Based on Lean Focus and Agility

Christian Iberico-Tafur, Ricardo Sun-Itozu, Maribel Perez-Paredes, Nestor Mamani-Macedo, Carlos Raymundo-Ibañez, Francisco Dominguez

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

3 Citas (Scopus)

Resumen

Sustainable growth in the telecommunications sector has led to many small- and medium-sized enterprises (SMEs) becoming involved in projects that are often not time and cost effective owing to the lack of a project management model that meets the needs of this type of company. In this article, a project management model is proposed based on the continuous improvement of processes under the lean and agility approach, and a medium enterprise from the sector is considered as a case study. A 50% reduction in the lead time of projects was observed, reprocessing and overtime were eliminated by 70%, while quality was ensured and the probability of project success increased. Thus, the application of this model solves the problem under study.

Idioma originalInglés
Título de la publicación alojadaHuman Interaction, Emerging Technologies and Future Applications II - Proceedings of the 2nd International Conference on Human Interaction and Emerging Technologies
Subtítulo de la publicación alojadaFuture Applications, IHIET-AI 2020
EditoresTareq Ahram, Redha Taiar, Vincent Gremeaux-Bader, Kamiar Aminian
EditorialSpringer
Páginas676-682
Número de páginas7
ISBN (versión impresa)9783030442668
DOI
EstadoPublicada - 2020
Evento2nd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET-AI 2020 - Lausanne, Suiza
Duración: 23 abr. 202025 abr. 2020

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen1152 AISC
ISSN (versión impresa)2194-5357
ISSN (versión digital)2194-5365

Conferencia

Conferencia2nd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET-AI 2020
País/TerritorioSuiza
CiudadLausanne
Período23/04/2025/04/20

Huella

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