Optimisation in Synchromodal Logistics: From Theory to Practice

Author:   Frank Phillipson
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2023
ISBN:  

9783031156571


Pages:   296
Publication Date:   16 March 2024
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Optimisation in Synchromodal Logistics: From Theory to Practice


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Author:   Frank Phillipson
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2023
ISBN:  

9783031156571


ISBN 10:   3031156579
Pages:   296
Publication Date:   16 March 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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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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.

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