Explainable Artificial Intelligence in Supply Chain Management: Methodology, System Architecture, and Applications - Couverture souple
Livre 469 sur 472: SpringerBriefs in Applied Sciences and Technology
Synopsis
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l'auteur
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Explainable Artificial Intelligence in Supply Chain Management (Paperback)
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ISBN 10 : 3032225639
ISBN 13 : 9783032225634
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Paperback. Etat : new. Paperback. 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. This book systematically reviews XAI techniques and introduces how these XAI techniques can be systematically applied to SCM, including methodology, system architecture, and applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783032225634
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Explainable Artificial Intelligence in Supply Chain Management
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ISBN 13 : 9783032225634
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 115 pp. Englisch. N° de réf. du vendeur 9783032225634
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Explainable Artificial Intelligence In Supply Chain Management: Methodology, System Architecture, And Applications
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 128 pp. Englisch. N° de réf. du vendeur 9783032225634
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Explainable Artificial Intelligence in Supply Chain Management : Methodology, System Architecture, and Applications
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ISBN 13 : 9783032225634
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783032225634
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Explainable Artificial Intelligence in Supply Chain Management | Methodology, System Architecture, and Applications
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Taschenbuch. Etat : Neu. Explainable Artificial Intelligence in Supply Chain Management | Methodology, System Architecture, and Applications | Tin-Chih Toly Chen | Taschenbuch | SpringerBriefs in Applied Sciences and Technology | ix | Englisch | 2026 | Springer | EAN 9783032225634 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 135420879
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