Artificial Intelligence in Supply Chain Management
ISBN:
978-3-7369-7881-2
Verlag:
Cuvillier Verlag
Land des Verlags:
Deutschland
Erscheinungsdatum:
06.10.2023
Reihe:
Künstliche Intelligenz & Digitalisierung
Format:
Buch
Seitenanzahl:
98
Lieferung in 3-4 Werktagen
Versandkostenfrei ab 40 Euro in Österreich
https://cuvillier.de/de/shop/publications/8910-artificial-intelligence-in-supply-chain-management
As Artificial Intelligence (AI) continues to revolutionize industries worldwide, its omnipresence becomes increasingly evident in Supply Chain Management (SCM).
This Consortium Study, conducted by the Institute of Supply Chain Management (ISCMHSG) at the University of St.Gallen and its promotional association, examines the integration of AI in SCM and aims to address the gap between expectations and reality.
The study provides a knowledge foundation to assist supply chain managers in developingrealistic expectations of this technology. Considering the rapid advancement of AI technologies and their potential impact on SCM, this study explores the current state of
AI in SCM and analyzes the disparity between expectations and reality. Through a comprehensive market analysis of AI solutions offered in SCM, opportunities for improvement are identified.
The study focuses on aligning expectations and reality by fostering a better understanding of the capabilities of AI in SCM.
Additionally, the study investigates obstacles to successful AI integration, including data quality, integration challenges, and unrealistic expectations of potential benefits.
Through the collaborative efforts of the participating organizations, this Consortium Study offers a collective understanding of the current state of AI in SCM. It serves as a
valuable resource for industry professionals, and academia facilitating the successful integration of AI and driving operational excellence in SCM.
Schlagwörter
Künstliche Intelligenz
Artificial Intelligence
Supply Chain Management
Machine Learning
Maschinelles Lernen
Kundenbeziehungsmanagement
Deep Learning
Internet der Dinge
Enterprise Resource Planning
Natural Language Processing
Künstliche Neuronale Netze
Multi-Agent Systems
Artificial Neural Networks
Fuzzy Systems
Key Performance Indicator
Kapitalrendite
Künstliche allgemeine Intelligenz
Tiefes Lernen
Natürliche Sprachverarbeitung
Risikomanagement in der Lieferkette
Institut für Supply Chain Management an der Universität St. Gallen
Transportmanagement-Software
Management der Lieferkette
Unscharfe Systeme
Unternehmensressourcenplanung
Transportation Management Software
Return on Invest
Institute of Supply Chain Management at the University of St. Gallen









