Collaborative model based on ARIMA forecasting for reducing inventory costs at footwear SMEs

Alejandra Angulo-Baca, Michael Bernal-Bazalar, Juan Sotelo-Raffo, Carlos Raymundo-Ibañez, Moises Perez

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

2 Citas (Scopus)

Resumen

This study addresses inadequate inventory management issues arising from poor demand management and insufficient inventory movement record communication. Focusing on a footwear retailer, this study determined that the main problem identified is rooted in an improper management of finished products caused by excessive production establishing optimum production quotas coupled with an inadequate optimization of the space used for inventory management. Within this context, the project proposes using the collaborative planning, forecasting, and replenishment (CPFR) methodology supported by ARIMA forecasting, a strategy that centers on maintaining adequate logistics development controls.

Idioma originalInglés
Título de la publicación alojadaIntelligent Human Systems Integration - Proceedings of the 3rd International Conference on Intelligent Human Systems Integration IHSI 2020
Subtítulo de la publicación alojadaIntegrating People and Intelligent Systems
EditoresTareq Ahram, Waldemar Karwowski, Alberto Vergnano, Francesco Leali, Redha Taiar
EditorialSpringer
Páginas697-703
Número de páginas7
ISBN (versión impresa)9783030395117
DOI
EstadoPublicada - 2020
Evento3rd International Conference on Intelligent Human Systems Integration, IHSI 2020 - Modena, Italia
Duración: 19 feb. 202021 feb. 2020

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen1131 AISC
ISSN (versión impresa)2194-5357
ISSN (versión digital)2194-5365

Conferencia

Conferencia3rd International Conference on Intelligent Human Systems Integration, IHSI 2020
País/TerritorioItalia
CiudadModena
Período19/02/2021/02/20

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