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2023 | OriginalPaper | Chapter

The Role of Machine Learning in Supply Chain Management

Authors : Thais Carreira Pfutzenreuter, Edson Pinheiro de Lima, Sergio Eduardo Gouvêa da Costa, Fernando Deschamps

Published in: Intelligent and Transformative Production in Pandemic Times

Publisher: Springer International Publishing

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Abstract

The world experienced historic challenges in global demand management as a result of the covid-19 pandemic. Supply chains were abruptly interrupted with new traffic rules among countries and organizations confronted hard moments of absolute uncertainty with an extreme complex planning scenario while customers demanded resources on time in order to stay safe at home during confinement. For this reason, supply chain risk management and demand forecasting with artificial intelligence has become even more explored by the scientific community. In this context, this paper proposes an investigation of machine-learning projects’ contribution for supply chain management in organizations, not only during the pandemic crisis, but during the last recent years. PRISMA approach was applied for a systematic literature review, limiting English written articles indexed at Scopus and complementary sources, such as Science Direct and IEEE. Results have defended the increasingly important role of machine-learning projects in supporting organizations to plan their operational demands and activities, improving operational efficiency and strengthening strategic supplier selection even in challenging pandemic times. The main contribution is focused on examining theoretical relationships among recent approaches and address mutual strategic achievements through a diagram. Results presented by a summarized diagram exposed machine learning strategic value for demand forecasting, supply risk mitigation, lead-time reduction, greener operations and strategic supplier selection. Some common best practices observed revealed training and test segmentation, feature importance analysis and dimensionality reduction. Limitations are linked to further research suggestions, increasing the present bibliographic portfolio selection along with case-study implementations in order to extend connections between theory and practice.

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Title: The Role of Machine Learning in Supply Chain Management
Authors: Thais Carreira Pfutzenreuter
Edson Pinheiro de Lima
Sergio Eduardo Gouvêa da Costa
Fernando Deschamps
Publisher: Springer International Publishing
Book: Intelligent and Transformative Production in Pandemic Times
Print ISBN: 978-3-031-18640-0

Electronic ISBN: 978-3-031-18641-7

Copyright Year: 2023
DOI: https://doi.org/10.1007/978-3-031-18641-7_31

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