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001461537 001__ 1461537
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001461537 019__ $$a1373337213
001461537 020__ $$a9783031156557$$q(electronic bk.)
001461537 020__ $$a3031156552$$q(electronic bk.)
001461537 020__ $$z3031156544
001461537 020__ $$z9783031156540
001461537 0247_ $$a10.1007/978-3-031-15655-7$$2doi
001461537 035__ $$aSP(OCoLC)1373343900
001461537 040__ $$aEBLCP$$beng$$cEBLCP$$dGW5XE$$dEBLCP$$dYDX$$dOCLCF
001461537 049__ $$aISEA
001461537 050_4 $$aHD38.5
001461537 08204 $$a658.5001/5118$$223/eng/20230324
001461537 24500 $$aOptimisation in synchromodal logistics :$$bfrom theory to practice /$$cFrank Phillipson, editor.
001461537 260__ $$aCham :$$bSpringer,$$c2023.
001461537 300__ $$a1 online resource (297 p.).
001461537 4901_ $$aLecture notes in operations research
001461537 500__ $$aVariable Reductions
001461537 5050_ $$aIntro -- Preface -- References -- Acknowledgements -- Contents -- Acronyms -- Part I Introduction -- 1 Categorisations of Optimisation Problems in Synchromodal Logistics -- Introduction -- Context of Synchromodal Logistics -- Literature -- Optimisation Framework -- Changing Position in the Framework -- Complexity and Self-Organisation -- Uncertainty and Scope of Optimisation -- Conclusion -- References -- 2 Framework of Synchromodal Transportation Problems -- Introduction -- Literature -- Framework Identifiers and Elements -- Identifiers -- Elements -- Notation -- Six-Field Notation
001461537 5058_ $$aTwo-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
001461537 5058_ $$aDiscussion -- Added Value -- Conclusion -- References -- 4 Stochastic Container-to-Mode Assignment -- Introduction -- Concepts and Definitions -- Transit Ideas and Transit Instances -- Request Ideas and Request Instances -- Omnifutures -- Finite Window Methods and Rolling Window Methods -- Locked Futures and Future Trees -- Demifutures -- Solving to Optimality -- Two-Stage Stochastic Programming -- Multistage Stochastic Programming: An Illustrative Example -- Why Multistage Stochastic Programming Is Not Used -- Markov Decision Processes -- Single Future Iteration Heuristics
001461537 5058_ $$aExpected 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
001461537 5058_ $$a6 Alternative Performance Indicators for Optimising Container Assignment in a Synchromodal TransportationNetwork -- Introduction -- Attributes -- Robustness -- Flexibility -- Definitions -- Customer Satisfaction -- Conclusions -- References -- 7 Decision Making in a Dynamic Transportation Network: A Multi-Objective Approach -- Introduction -- Multi-Objective Analysis -- Multi-Objective Approach -- Proposed Approach -- Example -- Conclusions and Future Work -- Reference -- 8 Reduction of Variables for Solving Logistic Flow Problems -- Introduction -- Multi-Commodity Network Design Problem
001461537 506__ $$aAccess limited to authorized users.
001461537 520__ $$aThis book introduces readers to the latest advances in synchromodal logistics and presents a framework for classifying various optimisation problems in this field. In turn, it explores how the framework can be used to solve a broad range of problems, such as those with and without a central decision-maker, those with and without full information, deterministic problems, problems involving uncertainty, and the optimisation of a full network design problem. It covers a variety of essential theoretical constructs, such as discrete optimisation, robust optimisation, optimisation under uncertainty, multi-objective optimisation and agent-based equilibrium models. Moreover, it includes practical elaborated use cases to deepen readers understanding. The book offers a good overview of the field of synchromodal optimisation problems for researchers and practitioners alike, together with practical modelling and problem-solving methods.
001461537 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 24, 2023).
001461537 650_0 $$aBusiness logistics$$xMathematical models.
001461537 650_0 $$aMathematical optimization.
001461537 655_0 $$aElectronic books.
001461537 7001_ $$aPhillipson, Frank,$$eeditor.
001461537 77608 $$iPrint version:$$aPhillipson, Frank$$tOptimisation in Synchromodal Logistics$$dCham : Springer International Publishing AG,c2023$$z9783031156540
001461537 830_0 $$aLecture notes in operations research.
001461537 852__ $$bebk
001461537 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-15655-7$$zOnline Access$$91397441.1
001461537 909CO $$ooai:library.usi.edu:1461537$$pGLOBAL_SET
001461537 980__ $$aBIB
001461537 980__ $$aEBOOK
001461537 982__ $$aEbook
001461537 983__ $$aOnline
001461537 994__ $$a92$$bISE