Dynamics in Logistics

This book reports on interdisciplinary research and developments in logistics and supply chain management. It discusses new strategies and methods allowing automation in different kind of industries and businesses, and adapting to their digital and sustainable transformation. It highlights issues relating to human-centric logistics, transport efficiency and safety, maintenance 5. 0, fuel consuption and emissions, and more. All in all, this book offers a timely and practice-oriented guide to a multidisciplinary audience of engineering researchers, system developers, AI scientists and industrial managers.

Shared Resources, Reduced Risks: The Role of Resource Sharing as Pathway to Production Resilience. - Evaluating Machine Learning and Deep Learning Approaches for Spare Parts Demand Forecast-ing . - Discrete event simulation as an enabler for resilient production planning. - A Multi-LLM Approach for Supply Chain Risk Assessment.