Advances in Computational Logistics and Supply Chain Analytics

Häftad, Engelska, 2025

AvIbraheem Alharbi,Chiheb-Eddine Ben Ncir,Bader Alyoubi,Hajer Ben-Romdhane

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The authors present recent computational logistic methods and supply chain analytics techniques designed and applied to support managers in improving such complex processes. This book broadly covers recent computational methods and techniques applied to ensure continuous improvement of transport, logistic, and supply chain management processes.

Produktinformation

Utgivningsdatum2025-03-22
Mått155 x 235 x 12 mm
Vikt330 g
FormatHäftad
SpråkEngelska
SerieUnsupervised and Semi-Supervised Learning
Antal sidor196
FörlagSpringer International Publishing AG
ISBN9783031500381

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Ibraheem Alharbi is currently the dean of the College of Business at the University of Jeddah. He serves as Associate Professor in the MIS Department, College of Business, University of Jeddah. His research interests include business and information ethics, information privacy and electronic commerce.Chiheb-Eddine Ben Ncir is currently Associate Professor at the University of Jeddah and a member of LARODEC laboratory, University of Tunis. His research interests concern machine learning methods with a special emphasis on Big data clustering. Bader Alyoubi is currently the dean of the College of Sports Sciences at the University of Jeddah and serves as Professor of Management Information Systems at the same university. His research focuses on decision support systems and knowledge management techniques. Hajer Ben-Romdhane is an Assistant Professor in the Department of Computer Science at Institut Supérieur de Gestion,University of Tunis, Tunisia, and a member of LARODC laboratory. Her research interests include modeling of complex problems and the design of decision support systems.

Introduction.- Innovative logistic techniques and Tools in Industry 4.0.- Predictive analytics for quality control of logistic processes.- Artificial intelligence systems for smart logistics in the medicine sector.- Supply-Chain Management: Automating the purchase process based on machine learning techniques.- Multi Criteria Decision Making applications in Supply Chain Management.- Consumers’ Acceptance of Drones for last-mile delivery in emerging economy.- Evaluation methods to mitigate the risks of price fluctuations on inventory in contemporary economies.- Overview of using augmented reality techniques in logistics.- Computational methods for scheduling problems.- Digitalization and automation of supply chain processes.- Reverse Logistics: Evaluation of practices in hospitals in Saudi Arabia.- Combining Global Optimization Algorithms with Live Google Maps for Solving the Vehicle Routing Problem.- Conclusion.