Management model logistic for the use of planning and inventory tools in a selling company of the automotive sector in Peru

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7 Citas (Scopus)

Resumen

One of the most important problems affecting companies that assemble and market vehicles is stock depletion of finished products. Therefore, many small and medium-sized enterprises (SMEs) have attempted to manage this situation by using tools such as the Q mode, which continuously reviews inventories but does not indicate when and in what quantity a company must supply its sales outlets but requires a more complex level of supplier development and supply chain management efficiency than SMEs can achieve. Likewise, with our proposal we achieved a 50% decrease in stock depletion, based on an analysis of model results, with a confidence level of 95% and a certainty level of 75.30%, projecting a profit of 59000 soles with a return cost of 1.41 and a recovery period of 2 years and 4 months, ensuring both the sustainability and profitability of the proposal.

Idioma originalInglés
Título de la publicación alojadaAdvances in Manufacturing, Production Management and Process Control - Proceedings of the AHFE 2019 International Conference on Human Aspects of Advanced Manufacturing, and the AHFE International Conference on Advanced Production Management and Process Control
EditoresStefan Trzcielinski, Beata Mrugalska, Waldemar Karwowski
EditorialSpringer Verlag
Páginas299-309
Número de páginas11
ISBN (versión impresa)9783030204938
DOI
EstadoPublicada - 2019
EventoAHFE International Conference on Human Aspects of Advanced Manufacturing, 2019 and the AHFE International Conference on Advanced Production Management and Process Control, 2019 - Washington D.C., Estados Unidos
Duración: 24 jul. 201928 jul. 2019

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen971
ISSN (versión impresa)2194-5357

Conferencia

ConferenciaAHFE International Conference on Human Aspects of Advanced Manufacturing, 2019 and the AHFE International Conference on Advanced Production Management and Process Control, 2019
País/TerritorioEstados Unidos
CiudadWashington D.C.
Período24/07/1928/07/19

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