This book introduces the advances in synchromodal logistics and provides a framework to classify various optimisation problems in this field. It explores the application of this framework to solve a broad range of problems, such as problems with and without a central decision-maker, problems with and without full information, deterministic problems, problems coping with uncertainty, optimisation of a full network design problem. It covers theoretical constructs, such as discrete optimisation, robust optimisation, optimisation under uncertainty, multi-objective optimisation and agent based equilibrium models. Moreover, practical elaborated use cases are presented to deepen understanding.
The book gives both researchers and practitioners a good overview of the field of synchromodal optimisation problems and offers the reader practical methods for modelling and problem-solving.
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It explores the application of this framework to solve a broad range of problems, such as problems with and without a central decision-maker, problems with and without full information, deterministic problems, problems coping with uncertainty, optimisation of a full network design problem.
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Chapter 01- Categorisations of Optimisation Problems in Synchromodal Logistics, Chapter 02- Framework of Synchromodal Transportation Problems, Chapter 03- Stochastic container-to-mode assignment, Chapter 04 - Stochastic container-to-mode assignment, Chapter 05 - Deterministic operational freight planning, Chapter 6- Alternative Performance Indicators for Optimizing Container Assignment in a Synchromodal Transportation Network, Chapter 07- Decision making in a Dynamic Transportation Network: a Multi-Objective Approach ., Chapter 08- Reduction of Variables for Solving Logistic Flow Problems, Chapter 09 - Cutting Planes for Solving Logistic Flow Problems, Chapter 10- Optimising Routing in an Agent-Centric Synchromodal Network with Shared Information, Chapter 11- User Equilibrium in a Transportation Space-Time Network, Chapter 12- Fair User Equilibrium in a Transportation Space-Time Network. Chapter 13- Simulation Approach for Container Assignment under Uncertainty, Chapter 14- Optimising and Recognising 2-Stage Delivery Chains with Time Windows.
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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.
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Provides an overview of the synchromodal logistic optimisation framework Includes both theoretical and practical contributions Introduces a broad range of application of methods from discrete optimization to agent based user equilibrium models
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Produktdetaljer
ISBN
9783031156540
Publisert
2023-03-16
Utgiver
Vendor
Springer International Publishing AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Redaktør
Om bidragsyterne
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.