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

doi:10.1007/978-3-030-39512-4_107

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

Faculty of Engineering

Universidad Peruana de Ciencias Aplicadas
Universidad Rey Juan Carlos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Intelligent Human Systems Integration - Proceedings of the 3rd International Conference on Intelligent Human Systems Integration IHSI 2020
Subtitle of host publication	Integrating People and Intelligent Systems
Editors	Tareq Ahram, Waldemar Karwowski, Alberto Vergnano, Francesco Leali, Redha Taiar
Publisher	Springer
Pages	697-703
Number of pages	7
ISBN (Print)	9783030395117
DOIs	https://doi.org/10.1007/978-3-030-39512-4_107
State	Published - 2020
Event	3rd International Conference on Intelligent Human Systems Integration, IHSI 2020 - Modena, Italy Duration: 19 Feb 2020 → 21 Feb 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1131 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	3rd International Conference on Intelligent Human Systems Integration, IHSI 2020
Country/Territory	Italy
City	Modena
Period	19/02/20 → 21/02/20

Keywords

ARIMA forecast
CPFR
Change management
Footwear
Inventory management

Access to Document

10.1007/978-3-030-39512-4_107

Cite this

Angulo-Baca, A., Bernal-Bazalar, M., Sotelo-Raffo, J., Raymundo-Ibañez, C., & Perez, M. (2020). Collaborative model based on ARIMA forecasting for reducing inventory costs at footwear SMEs. In T. Ahram, W. Karwowski, A. Vergnano, F. Leali, & R. Taiar (Eds.), Intelligent Human Systems Integration - Proceedings of the 3rd International Conference on Intelligent Human Systems Integration IHSI 2020: Integrating People and Intelligent Systems (pp. 697-703). (Advances in Intelligent Systems and Computing; Vol. 1131 AISC). Springer. https://doi.org/10.1007/978-3-030-39512-4_107

Angulo-Baca, Alejandra ; Bernal-Bazalar, Michael ; Sotelo-Raffo, Juan et al. / Collaborative model based on ARIMA forecasting for reducing inventory costs at footwear SMEs. Intelligent Human Systems Integration - Proceedings of the 3rd International Conference on Intelligent Human Systems Integration IHSI 2020: Integrating People and Intelligent Systems. editor / Tareq Ahram ; Waldemar Karwowski ; Alberto Vergnano ; Francesco Leali ; Redha Taiar. Springer, 2020. pp. 697-703 (Advances in Intelligent Systems and Computing).

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abstract = "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.",

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author = "Alejandra Angulo-Baca and Michael Bernal-Bazalar and Juan Sotelo-Raffo and Carlos Raymundo-Iba{\~n}ez and Moises Perez",

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Angulo-Baca, A, Bernal-Bazalar, M, Sotelo-Raffo, J , Raymundo-Ibañez, C & Perez, M 2020, Collaborative model based on ARIMA forecasting for reducing inventory costs at footwear SMEs. in T Ahram, W Karwowski, A Vergnano, F Leali & R Taiar (eds), Intelligent Human Systems Integration - Proceedings of the 3rd International Conference on Intelligent Human Systems Integration IHSI 2020: Integrating People and Intelligent Systems. Advances in Intelligent Systems and Computing, vol. 1131 AISC, Springer, pp. 697-703, 3rd International Conference on Intelligent Human Systems Integration, IHSI 2020, Modena, Italy, 19/02/20. https://doi.org/10.1007/978-3-030-39512-4_107

Collaborative model based on ARIMA forecasting for reducing inventory costs at footwear SMEs. / Angulo-Baca, Alejandra; Bernal-Bazalar, Michael; Sotelo-Raffo, Juan et al.
Intelligent Human Systems Integration - Proceedings of the 3rd International Conference on Intelligent Human Systems Integration IHSI 2020: Integrating People and Intelligent Systems. ed. / Tareq Ahram; Waldemar Karwowski; Alberto Vergnano; Francesco Leali; Redha Taiar. Springer, 2020. p. 697-703 (Advances in Intelligent Systems and Computing; Vol. 1131 AISC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Bernal-Bazalar, Michael

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AU - Raymundo-Ibañez, Carlos

AU - Perez, Moises

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2020.

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Y1 - 2020

N2 - 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.

AB - 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.

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KW - Change management

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Angulo-Baca A, Bernal-Bazalar M, Sotelo-Raffo J , Raymundo-Ibañez C, Perez M. Collaborative model based on ARIMA forecasting for reducing inventory costs at footwear SMEs. In Ahram T, Karwowski W, Vergnano A, Leali F, Taiar R, editors, Intelligent Human Systems Integration - Proceedings of the 3rd International Conference on Intelligent Human Systems Integration IHSI 2020: Integrating People and Intelligent Systems. Springer. 2020. p. 697-703. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-39512-4_107

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

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