TY - BOOK ID - 118396535 TI - Optimisation in Synchromodal Logistics AU - Phillipson, Frank AU - SpringerLink (Online service) PY - 2023 SN - 9783031156557 PB - Cham Springer International Publishing :Imprint: Springer DB - UniCat KW - Operations research. KW - Business logistics. KW - Management science. KW - Mathematical optimization. KW - Stochastic processes. KW - Operations Research and Decision Theory. KW - Logistics. KW - Operations Research, Management Science . KW - Optimization. KW - Discrete Optimization. KW - Stochastic Processes. KW - Random processes KW - Probabilities KW - Optimization (Mathematics) KW - Optimization techniques KW - Optimization theory KW - Systems optimization KW - Mathematical analysis KW - Maxima and minima KW - Operations research KW - Simulation methods KW - System analysis KW - Quantitative business analysis KW - Management KW - Problem solving KW - Statistical decision KW - Supply chain management KW - Industrial management KW - Logistics KW - Operational analysis KW - Operational research KW - Industrial engineering KW - Management science KW - Research KW - System theory UR - https://www.unicat.be/uniCat?func=search&query=sysid:118396535 AB - 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. ER -