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Soft Computing Applied to the Supply Chain Management: A Method for Daily Sales Classification and Forecasting

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Practical Applications of Intelligent Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 279))

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Abstract

The supply chain management is a vast field of study where intelligent techniques can be applied to obtain better results than other approaches. Resource planning, route optimizations, stock and ordering strategies amongst others are common problems in this field of study. In this paper we will focus on how to solve the problems related to making accurate daily sales forecasting in the retail sector. Solutions to this problem must deal with two inherent complexities: the huge amount of data involved in it and the selection of accurate forecasting models. Due to the first complexity, one of the main features of the solution has to be the independence of the system from user interaction.

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Author information

Authors and Affiliations

  1. Group of Analysis, Security and Systems (GASS), Department of Software Engineering and Artificial Intelligence (DISIA), School of Computer Science, Office 431, Universidad Complutense de Madrid (UCM), Calle Profesor José García Santesmases s/n, Ciudad Universitaria, 28040, Madrid, Spain

    Fernando Turrado García & Luis Javier García Villalba

  2. Department of Computer Architecture, School of Computer Science, Universidad Complutense de Madrid (UCM), Calle Profesor José García Santesmases s/n, Ciudad Universitaria, 28040, Madrid, Spain

    Victoria López

Authors
  1. Fernando Turrado García
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  2. Luis Javier García Villalba
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  3. Victoria López
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Corresponding author

Correspondence to Luis Javier García Villalba .

Editor information

Editors and Affiliations

  1. College of Computer and Software Engineering, Shenzhen University, Shenzhen, China

    Zhenkun Wen

  2. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China

    Tianrui Li

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© 2014 Springer-Verlag Berlin Heidelberg

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García, F.T., Villalba, L.J.G., López, V. (2014). Soft Computing Applied to the Supply Chain Management: A Method for Daily Sales Classification and Forecasting. In: Wen, Z., Li, T. (eds) Practical Applications of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54927-4_37

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  • DOI: https://doi.org/10.1007/978-3-642-54927-4_37

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54926-7

  • Online ISBN: 978-3-642-54927-4

  • eBook Packages: EngineeringEngineering (R0)

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