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Demand Forecasting Method Using Artificial Neural Networks

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Dependability in Sensor, Cloud, and Big Data Systems and Applications (DependSys 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1123))

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Abstract

Based on a forecast, the decision maker can determine the capacity required to meet a certain forecast demand, as well as carry out in advance the balance of capacities in order to avoid underusing or bottlenecks. This article proposes a procedure for forecasting demand through Artificial Neural Networks. In order to carry out the validation, the procedure proposed was applied in a Soda Trading and Distribution Company where three types of products were selected.

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Author information

Authors and Affiliations

  1. Universidad de La Costa, St. 58 #66, Barranquilla, Atlántico, Colombia

    Amelec Viloria

  2. Universidad Simón Bolívar, Barranquilla, Colombia

    Luisa Fernanda Arrieta Matos

  3. Corporación Universitaria Empresarial de Salamanca – CUES, Barranquilla, Colombia

    Mercedes Gaitán

  4. Corporación Universitaria Latinoamericana, Barranquilla, Colombia

    Hugo Hernández Palma, Luis Cabas Vásquez & Carlos Vargas Mercado

  5. Corporación Universitaria Minuto de Dios – UNIMINUTO, Barranquilla, Colombia

    Yasmin Flórez Guzmán

  6. Universidad Tecnológica Centroamericana (UNITEC), San Pedro Sula, Honduras

    Omar Bonerge Pineda Lezama

Authors
  1. Amelec Viloria
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  2. Luisa Fernanda Arrieta Matos
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  3. Mercedes Gaitán
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  4. Hugo Hernández Palma
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  5. Yasmin Flórez Guzmán
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  6. Luis Cabas Vásquez
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  7. Carlos Vargas Mercado
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  8. Omar Bonerge Pineda Lezama
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Corresponding author

Correspondence to Amelec Viloria .

Editor information

Editors and Affiliations

  1. Guangzhou University, Guangzhou, China

    Guojun Wang

  2. Fordham University, New York, USA

    Md Zakirul Alam Bhuiyan

  3. Università degli Studi di Milano, Milan, Italy

    Sabrina De Capitani di Vimercati

  4. Hangzhou Dianzi University, Hangzhou, China

    Yizhi Ren

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Viloria, A. et al. (2019). Demand Forecasting Method Using Artificial Neural Networks. In: Wang, G., Bhuiyan, M.Z.A., De Capitani di Vimercati, S., Ren, Y. (eds) Dependability in Sensor, Cloud, and Big Data Systems and Applications. DependSys 2019. Communications in Computer and Information Science, vol 1123. Springer, Singapore. https://doi.org/10.1007/978-981-15-1304-6_30

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  • DOI: https://doi.org/10.1007/978-981-15-1304-6_30

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-1303-9

  • Online ISBN: 978-981-15-1304-6

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