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Machine Learning Applications in Supply Chains: Long Short-Term Memory for Demand Forecasting

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Cloud Computing and Big Data: Technologies, Applications and Security (CloudTech 2017)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 49))

Abstract

Due to the rapid technological advances, machine Learning or the ability of a machine to learn automatically has found applications in various fields. It has proven to be a valuable tool for aiding decision makers and improving the productivity of enterprise processes, due to its ability to learn and find interesting patterns in the data. Thereby, it is possible to improve supply chains processes by using Machine Learning which generates in general better forecasts than the traditional approaches.

As such, this chapter examines multiple Machine Learning algorithms, explores their applications in the various supply chain processes, and presents a long short-term memory model for predicting the daily demand in a Moroccan supermarket.

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Author information

Authors and Affiliations

  1. National Higher School for Computer Science and System Analysis (ENSIAS), Mohammed V University, Rabat, Morocco

    Halima Bousqaoui & Said Achchab

  2. Mines National Higher School (ENSMR), Rabat, Morocco

    Kawtar Tikito

Authors
  1. Halima Bousqaoui
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  2. Said Achchab
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  3. Kawtar Tikito
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Corresponding author

Correspondence to Halima Bousqaoui .

Editor information

Editors and Affiliations

  1. ENSIAS College of Engineering, Mohammed V University, Agdal, Rabat, Morocco

    Mostapha Zbakh

  2. ENSIAS College of Engineering, Mohammed V University, Agdal, Rabat, Morocco

    Mohammed Essaaidi

  3. Department of Computer Science, Polytechnic of Mons, Mons, Belgium

    Pierre Manneback

  4. Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway

    Chunming Rong

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Bousqaoui, H., Achchab, S., Tikito, K. (2019). Machine Learning Applications in Supply Chains: Long Short-Term Memory for Demand Forecasting. In: Zbakh, M., Essaaidi, M., Manneback, P., Rong, C. (eds) Cloud Computing and Big Data: Technologies, Applications and Security. CloudTech 2017. Lecture Notes in Networks and Systems, vol 49. Springer, Cham. https://doi.org/10.1007/978-3-319-97719-5_19

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