Explainable Artificial Intelligence in Supply Chain Management

Introduction to XAI in SCM

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

AI Technologies in SCM

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.

Challenges in AI Applications

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 limits the practicality and credibility of these applications.

Role of XAI

To solve this problem, explainable artificial intelligence (XAI) is considered 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.

Need for Systematic Reviews

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.