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Explainable Artificial Intelligence in Supply Chain Management

Methodology, System Architecture, and Applications

  • Book
  • May 2026

Overview

Authors:
  1. Tin-Chih Toly Chen

    1. Department of Industrial Engineering and Management, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

  • Introduces Explainable Artificial Intelligence (XAI)for supply chain management (SCM)
  • Reviews XAI techniques and introduces how these XAI techniques can be systematically applied to SCM
  • Includes methodology, system architecture, applications, and includes case studies

Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)

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About this book

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This book systematically reviews XAI techniques and introduces how these XAI techniques can be systematically applied to SCM, including methodology, system architecture, and applications. Relevant references, examples, or cases are also used as supporting evidence.

So far, artificial intelligence (AI) technologies have been widely used in the field of supply chain management (SCM) for supply chain design, production and transportation planning, demand and sales forecasting, cell manufacturing, just-in-time (JIT) control, etc. Some applications of AI technologies in SCM are not easy to understand or communicate, especially for supply chain stakeholders with insufficient background knowledge of AI, which undoubtedly limits the practicality and credibility of these applications. To solve this problem, explainable artificial intelligence (XAI) is considered as a feasible strategy. However, most of the relevant research results are scattered in various journals or conference proceedings, and there is an urgent need to systematically integrate these results. In addition, although there have been many reviews on the possible applications of XAI in SCM, there are few systematic introductions, including methodology, system architecture, and case studies. This book answers this need.

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Authors and Affiliations

  • Department of Industrial Engineering and Management, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

    Tin-Chih Toly Chen

About the author

Dr. Chen has published papers on XAI applications in journals such as Expert Systems and Applications, Applied Soft Computing, International Journal of Advanced Manufacturing Technology, Complex & Intelligent Systems, Digital Health, etc. He also authored several books on XAI, including “Explainable Ambient Intelligence (XAmI)—Explainable Artificial Intelligence Applications in Smart Life”, “Explainable Artificial Intelligence in Manufacturing: Methodology, Tools, and Applications,” “Explainable and Customizable Job Sequencing and Scheduling: Advancing Production Control and Management with XAI” for Springer. Dr. Chen is the co-editor of Supply Chain Analytics, an Elsevier journal. He is also an IET fellow and AIAT fellow.

Accessibility Information

PDF accessibility summary

This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation, keyboard-friendly links and forms and searchable, selectable text. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at [email protected]. Please note that a more accessible version of this eBook is available as ePub.

EPUB accessibility summary

This ebook is designed with accessibility in mind, aiming to meet the ePub Accessibility 1.0 AA and WCAG 2.2 Level AA standards. It features a navigable table of contents, structured headings, and alternative text for images, ensuring smooth, intuitive navigation and comprehension. The text is reflowable and resizable, with sufficient contrast. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at [email protected].

Bibliographic Information

  • Book Title: Explainable Artificial Intelligence in Supply Chain Management

  • Book Subtitle: Methodology, System Architecture, and Applications

  • Authors: Tin-Chih Toly Chen

  • Series Title: SpringerBriefs in Applied Sciences and Technology

  • Publisher: Springer Cham

  • eBook Packages: Mechanical Engineering (R0)

  • Copyright Information: The Author(s), under exclusive license to Springer Nature Switzerland AG 2026

  • Softcover ISBN: 978-3-032-22563-4Due: 24 May 2026

  • eBook ISBN: 978-3-032-22564-1Due: 24 May 2026

  • Series ISSN: 2191-530X

  • Series E-ISSN: 2191-5318

  • Edition Number: 1

  • Number of Pages: II, 110

Keywords

  • Supply Chain Management
  • Explainable Artificial Intelligence
  • Production Control and Management
  • Operations Research
  • Human System Interaction
  • Deep Learning

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