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Titolo: |
Optimisation in Synchromodal Logistics : From Theory to Practice / / edited by Frank Phillipson
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Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
Edizione: | 1st ed. 2023. |
Descrizione fisica: | 1 online resource (297 pages) |
Disciplina: | 780 |
Soggetto topico: | Operations research |
Business logistics | |
Management science | |
Mathematical optimization | |
Stochastic processes | |
Operations Research and Decision Theory | |
Logistics | |
Operations Research, Management Science | |
Optimization | |
Discrete Optimization | |
Stochastic Processes | |
Persona (resp. second.): | PhillipsonFrank |
Nota di bibliografia: | Includes bibliographical references and index. |
Nota di contenuto: | Intro -- Preface -- References -- Acknowledgements -- Contents -- Acronyms -- Part I Introduction -- 1 Categorisations of Optimisation Problems in Synchromodal Logistics -- Introduction -- Context of Synchromodal Logistics -- Literature -- Optimisation Framework -- Changing Position in the Framework -- Complexity and Self-Organisation -- Uncertainty and Scope of Optimisation -- Conclusion -- References -- 2 Framework of Synchromodal Transportation Problems -- Introduction -- Literature -- Framework Identifiers and Elements -- Identifiers -- Elements -- Notation -- Six-Field Notation -- Two-Column Notation -- On the Two Notations -- Examples -- Solution Method Mapping -- Relationship to VRP Terminology -- Discussion -- References -- Part II Solving MCMCF Problems -- 3 Deterministic Container-to-Mode Assignment -- Introduction -- Modelling the Problem as a MCMC Flow Problem on a Space-Time Network -- Space-Time Networks -- Minimum-Cost Multi-Commodity Flow -- Allowing Lateness with Virtual Sinks -- Solving to Optimality -- Infinite Resource Models and the Corresponding Graph Reductions -- Double Matrix Infinite Resources -- Other Or No Infinite Resources -- Numerical Results -- Discussion -- Added Value -- Conclusion -- References -- 4 Stochastic Container-to-Mode Assignment -- Introduction -- Concepts and Definitions -- Transit Ideas and Transit Instances -- Request Ideas and Request Instances -- Omnifutures -- Finite Window Methods and Rolling Window Methods -- Locked Futures and Future Trees -- Demifutures -- Solving to Optimality -- Two-Stage Stochastic Programming -- Multistage Stochastic Programming: An Illustrative Example -- Why Multistage Stochastic Programming Is Not Used -- Markov Decision Processes -- Single Future Iteration Heuristics -- Expected Future Iteration -- Partially Pessimistic Future Iteration -- Numerical Results. |
Discussion -- Added Value -- Conclusion -- References -- 5 Deterministic Operational Freight Planning -- Introduction -- Notation of Variables and Parameters -- Problem Features -- A Note on Labour Conditions -- Solving to Optimality -- ILP Formulation -- Speed-up from Additional Constraints -- Greedy Gain Heuristic -- Compatibility Clustering Heuristic -- Used Metrics -- Description of Algorithm -- Numerical Results -- Discussion -- Added Value -- Conclusion -- References -- 6 Alternative Performance Indicators for Optimising Container Assignment in a Synchromodal TransportationNetwork -- Introduction -- Attributes -- Robustness -- Flexibility -- Definitions -- Customer Satisfaction -- Conclusions -- References -- 7 Decision Making in a Dynamic Transportation Network: A Multi-Objective Approach -- Introduction -- Multi-Objective Analysis -- Multi-Objective Approach -- Proposed Approach -- Example -- Conclusions and Future Work -- Reference -- 8 Reduction of Variables for Solving Logistic Flow Problems -- Introduction -- Multi-Commodity Network Design Problem -- Variable Reductions -- Commodity Reductions -- Vehicle Reductions -- Arc Reductions -- Location Reductions -- Time Reductions -- Results -- Conclusion -- References -- 9 Cutting Planes for Solving Logistic Flow Problems -- Introduction -- Cutting Planes -- General Cuts -- Symmetry Breaking Cut -- Arc Residual Capacity Cut -- Cutset Cut -- Strong Cut -- Results and Conclusions -- References -- Part III Synchromodal Logistics as Selfish Systems -- 10 Optimising Routing in an Agent-Centric Synchromodal Network with Shared Information -- Introduction -- Literature Review -- Models -- Assumptions -- Description of Simulation -- Public Information Models -- Model 1: Minimum-Cost Routing Without Rerouting -- Model 2: Minimum-Cost Routing with Rerouting -- Full Information Model. | |
Model 3: Full Information, User Equilibrium Routing -- Results -- Conclusions -- References -- 11 User Equilibrium in a Transportation Space-Time Network -- Introduction -- Literature Review -- User Equilibrium in STN -- Numerical Examples -- Conclusions -- References -- 12 Fair User Equilibrium in a Transportation Space-Time Network -- Introduction -- Fair User Equilibrium in STN -- Finding Connected Components in STN -- Tolls on Orders -- Finding a User Equilibrium -- Existence of Solutions -- Path Tolls Based on Order Fairness -- Finding a User Equilibrium -- Existence of Solutions -- Conclusions and Future Research -- References -- Part IV Applications -- 13 Simulation Approach for Container Assignment underUncertainty -- Introduction -- Problem Description -- Simulation Approach -- Start of the Algorithm -- Decision Space -- Trivial Decisions -- Decision (ta, TRot) to (ta + 1, TRot) -- Decision (ta, Origin) to (ta + 7, TRot) -- Remaining Decisions -- Solving the ILP -- Results -- Design of Experiments -- Benchmark Solution Methods -- Numerical Results -- Conclusions and Further Research -- References -- 14 Optimising and Recognising 2-Stage Delivery Chains with Time Windows -- Introduction -- Optimisation -- Problem Description -- First Stage -- Fixed Penalty -- Penalty as Function of Delay -- Penalty is Random Variable, Independent of X -- Second Stage -- Second Time Slot Without Penalty in the First Time Slot -- Propagation of Penalty: Second Time Slot with Penalty -- Case -- Recognising Time Windows in Data -- Analysis -- Limitations -- Conclusions -- References -- 15 Two-Step Approach for the Multi-Objective Container Assignment Problem with Barge Scheduling -- Introduction -- Schedule Construction -- Methodology -- Illustrative Example -- Container Assignment -- Conclusion -- References. | |
16 A Robust Optimisation Approach to Synchromodal Container Transportation -- Introduction -- Use Case -- Practical Setting -- Base Instance -- Deterministic Problem Formulation -- Deterministic Model -- Additional Remarks -- Robust Problem Formulation -- Robust Optimisation Paradigm -- The Robust Counterpart -- Adjustable Robust Optimisation -- Robust Optimisation for Mixed Integer Programs -- Robust Model -- Computational Results -- Instance Generation -- Results of Deterministic Model -- Results of Robust Model -- High Lateness Penalties -- Low Lateness Penalties -- Discussion -- References -- Index. | |
Sommario/riassunto: | 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. |
Titolo autorizzato: | Optimisation in Synchromodal Logistics ![]() |
ISBN: | 9783031156557 |
9783031156540 | |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910682562003321 |
Lo trovi qui: | Univ. Federico II |
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