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Sustainable Warehouse Management and AI: An Alliance for a Sustainable Future

  • 2025
  • OriginalPaper
  • Chapter
Published in:
Authors
Eya Ben Amor
Hager Triki
Mounir Benaissa
Published in
Advances in Integrated Design and Production III
Publisher
Springer Nature Switzerland

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Abstract

This chapter delves into the transformative impact of AI on warehouse management, focusing on sustainability, efficiency, and worker safety. It explores various AI technologies such as machine learning, computer vision, and natural language processing, and their applications in order picking, inventory control, and task assignment. The text also discusses the challenges of implementing AI, including data dependency, model interpretability, and scalability. Additionally, it highlights the economic, environmental, and social dimensions of sustainable warehouse management. The conclusion emphasizes the need for scalable and accessible AI tools to overcome current barriers and enable the development of smart and sustainable warehouses.
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previous chapter Fault Detection in Rotating Machinery Based on Machine Learning
next chapter Microstructural Optimization of Polyurethane Foams for Acoustic Performance in Double-Wall Systems Using Genetic Algorithms
Title
Sustainable Warehouse Management and AI: An Alliance for a Sustainable Future
Authors
Eya Ben Amor
Hager Triki
Mounir Benaissa
Copyright Year
2025
Book
Advances in Integrated Design and Production III

Print ISBN: 978-3-032-04741-0

Electronic ISBN: 978-3-032-04742-7

Copyright Year: 2025

DOI
https://doi.org/10.1007/978-3-032-04742-7_9
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