001449596 000__ 05737cam\a2200649\a\4500 001449596 001__ 1449596 001449596 003__ OCoLC 001449596 005__ 20230310004408.0 001449596 006__ m\\\\\o\\d\\\\\\\\ 001449596 007__ cr\un\nnnunnun 001449596 008__ 220917s2022\\\\sz\\\\\\o\\\\\101\0\eng\d 001449596 019__ $$a1344490674 001449596 020__ $$a9783031165795$$q(electronic bk.) 001449596 020__ $$a3031165799$$q(electronic bk.) 001449596 020__ $$z9783031165788 001449596 020__ $$z3031165780 001449596 0247_ $$a10.1007/978-3-031-16579-5$$2doi 001449596 035__ $$aSP(OCoLC)1344542230 001449596 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dGW5XE$$dEBLCP$$dYDX$$dOCLCQ$$dOCLCF$$dOCLCQ 001449596 049__ $$aISEA 001449596 050_4 $$aHD38.5 001449596 08204 $$a658.500285$$223/eng/20220923 001449596 1112_ $$aICCL (Conference)$$n(13th :$$d2022 :$$cBarcelona, Spain) 001449596 24510 $$aComputational logistics :$$b13th International Conference, ICCL 2022, Barcelona, Spain, September 21-23, 2022, Proceedings /$$cJesica de Armas, Helena Ramalhinho, Stefan Voß (eds.). 001449596 2463_ $$aICCL 2022 001449596 260__ $$aCham :$$bSpringer,$$c2022. 001449596 300__ $$a1 online resource (479 pages) 001449596 336__ $$atext$$btxt$$2rdacontent 001449596 337__ $$acomputer$$bc$$2rdamedia 001449596 338__ $$aonline resource$$bcr$$2rdacarrier 001449596 4901_ $$aLecture Notes in Computer Science ;$$v13557 001449596 500__ $$a3.1 Iterated Local Search Algorithm 001449596 500__ $$aIncludes author index. 001449596 5050_ $$aIntro -- Preface -- Organization -- Contents -- Maritime and Port Logistics -- Hybrid Berth Allocation for Bulk Ports with Unavailability and Stock Level Constraints -- 1 Introduction -- 2 Related Work -- 3 Model Formulation -- 3.1 Problem Description -- 3.2 Notation -- 3.3 Model -- 4 Numerical Experiments -- 4.1 Generation of Instances -- 4.2 Results Analysis and Discussion -- 4.3 Managerial Insights and Policy Implications -- 5 Conclusions -- References -- A Self-adaptive Hybrid Search Technique with Its Application to the Quadratic Semi-assignment and Berth Allocation Problems 001449596 5058_ $$a1 Introduction -- 2 Problem Formulation -- 3 Related Work -- 4 The SACA -- 4.1 Solution Encoding -- 4.2 The Integration of a Best-Improvement and a Regret-Based Construction Method -- 4.3 The Integration of Regret-Based and Ranked-Based Crossover Operators -- 4.4 The Local Search -- 4.5 The Perturbation Method -- 4.6 The Facilitating Heap-Based Module -- 4.7 The Managing Self-adaptive Module -- 5 Computational Experiments -- 6 Concluding Remarks -- References -- The Multi-port Continuous Berth Allocation Problem with Speed Optimization -- 1 Introduction -- 2 Problem Formulation 001449596 5058_ $$a2.1 Network-Flow Formulation -- 2.2 Set Partitioning Formulation -- 3 Solution Method -- 3.1 Branching -- 3.2 Computing Bounds -- 4 Results -- 4.1 Instance Generation -- 4.2 Comparison of Exact Methods -- 5 Conclusion -- References -- Optimization of a Ship-Based Logistics System for Carbon Capture and Storage -- 1 Introduction -- 2 Problem Definition -- 3 Mathematical Model -- 3.1 Modeling Approach and Notation -- 3.2 Model Formulation -- 4 Computational Study -- 4.1 Case Study and Input Data -- 4.2 Results -- 5 Concluding Remarks -- References 001449596 5058_ $$aA Linear Time Algorithm for Optimal Quay Crane Scheduling -- 1 Introduction -- 2 Container Terminals -- 3 Literature Review -- 4 Problem Definition -- 5 Problem Complexity -- 5.1 Makespan Lower Bounds -- 5.2 The CreateSchedule Algorithm -- 5.3 Correctness Proof -- 5.4 Extensions of the QCSP -- 6 Conclusion -- References -- Impact of Rubber-Tired Gantry Crane Dimension on Container Terminal Productivity -- 1 Introduction -- 2 Theoretical Background -- 3 Method -- 3.1 Method to Estimate Stacking Density -- 3.2 Method to Estimate Yard Productivity -- 4 Results and Discussion 001449596 5058_ $$a4.1 Estimated Stacking Density -- 4.2 Estimated Yard Productivity -- 5 Conclusion and Outlook -- References -- Vehicle Routing and Urban Logistics -- Fleet Size Control in First-Mile Ride-Sharing Problems -- 1 Introduction -- 2 Problem Description and Mathematical Model -- 3 Numerical Experiment -- 3.1 Instance Generation -- 3.2 Results -- 3.3 Solution Time -- 4 Conclusion -- References -- ILS-RVND Algorithm for Multi-trip Pickup and Delivery Problem, with Split Loads, Profits and Multiple Time Windows -- 1 Introduction -- 2 Problem Description -- 3 Solution Approaches 001449596 506__ $$aAccess limited to authorized users. 001449596 520__ $$aThis book constitutes the refereed proceedings of the 13th International Conference on Computational Logistics, ICCL 2022, held in Barcelona, Spain, in September 2022. The 31 papers presented in this volume were carefully reviewed and selected from 64 submissions. They were organized in topical sections as follows: Maritime and Port Logistics; Vehicle Routing and Urban Logistics; Warehousing and Location; Supply Chain and Production Management. 001449596 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 23, 2022). 001449596 650_0 $$aBusiness logistics$$xData processing$$vCongresses. 001449596 650_0 $$aManagement information systems$$vCongresses. 001449596 650_0 $$aComputer programs$$xExecution$$xManagement$$vCongresses. 001449596 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001449596 655_0 $$aElectronic books. 001449596 7001_ $$aArmas, Jesica de. 001449596 7001_ $$aRamalhinho, Helena. 001449596 7001_ $$aVoss, Stefan. 001449596 77608 $$iPrint version:$$aDe Armas, Jesica.$$tComputational Logistics.$$dCham : Springer International Publishing AG, ©2022$$z9783031165788 001449596 830_0 $$aLecture notes in computer science ;$$v13557. 001449596 852__ $$bebk 001449596 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-16579-5$$zOnline Access$$91397441.1 001449596 909CO $$ooai:library.usi.edu:1449596$$pGLOBAL_SET 001449596 980__ $$aBIB 001449596 980__ $$aEBOOK 001449596 982__ $$aEbook 001449596 983__ $$aOnline 001449596 994__ $$a92$$bISE