This book introduces readers to the latest advances in synchromodal logistics and presents a framework for classifying various optimisation problems in this field. In turn, it explores how the framework can be used to solve a broad range of problems, such as those with and without a central decision-maker, those with and without full information, deterministic problems, problems involving uncertainty, and the optimisation of a full network design problem. It covers a variety of essential theoretical constructs, such as discrete optimisation, robust optimisation, optimisation under uncertainty, multi-objective optimisation and agent-based equilibrium models. Moreover, it includes practical elaborated use cases to deepen readers' understanding.

The book offers a good overview of the field of synchromodal optimisation problems for researchers and practitioners alike, together with practical modelling and problem-solving methods.

Autorentext

Frank Phillipson is Senior Scientist at TNO and Professor of Operations Research at Maastricht University, The Netherlands. In addition to solving optimization issues for logistics, telecommunications and military applications, he is responsible for research on algorithms for and applications of quantum computers in the field of optimization and machine learning within TNO.