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Computational Logistics

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Cover of 'Computational Logistics'

Table of Contents

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    Book Overview
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    Chapter 1 Developments in City Logistics - The Path Between Expectations and Reality
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    Chapter 2 Using Advanced Information Systems to Improve Freight Efficiency: Results from a Pilot Program in Colombia
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    Chapter 3 Alternative Scenarios in Analyzing Florida’s Freight Imbalance
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    Chapter 4 Measuring Environmental Impact of Collaborative Urban Transport Networks: A Case Study
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    Chapter 5 Math-Heuristic for a Territory Design Problem
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    Chapter 6 A Decomposed Fourier-Motzkin Elimination Framework to Derive Vessel Capacity Models
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    Chapter 7 A Note on Alternative Objectives for the Blocks Relocation Problem
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    Chapter 8 Estimating Discharge Time of Cargo Units – A Case of Ro-Ro Shipping
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    Chapter 9 Port Community System Adoption: Game Theoretic Framework for an Emerging Economy Case Study
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    Chapter 10 Caribbean Ports, Inland Logistics, and the Panama Canal Expansion: A Mode and Port Choice Analysis
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    Chapter 11 Towards a Semantic Intelligence to Support Seaport Governance in Environmental and Ecological Sustainability
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    Chapter 12 Optimal Solutions for the Vehicle Routing Problem with Split Demands
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    Chapter 13 A MILP Model and a GRASP Algorithm for the Helicopter Routing Problem with Multi-Trips and Time Windows
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    Chapter 14 Metaheuristics for the Generalised Periodic Electric Vehicle Routing Problem
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    Chapter 15 Electric Bus Scheduling and Optimal Charging
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    Chapter 16 A Two-Pheromone Trail Ant Colony System Approach for the Heterogeneous Vehicle Routing Problem with Time Windows, Multiple Products and Product Incompatibility
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    Chapter 17 A Greedy Heuristic for the Vehicle Routing Problem with Time Windows, Synchronization Constraints and Heterogeneous Fleet
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    Chapter 18 A Facility Allocation-Location Approach to Analyze the Capability of the State-Owned Mexican Petroleum Company to Respond to the Closure of Pipelines
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    Chapter 19 Developing an Effective Decomposition-Based Procedure for Solving the Quadratic Assignment Problem
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    Chapter 20 A Stochastic, Multi-Commodity Multi-Period Inventory-Location Problem: Modeling and Solving an Industrial Application
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    Chapter 21 Integrated Production Lot Size and Distribution Planning with Shared Warehouses
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    Chapter 22 Optimization of the p-Hub Median Problem via Artificial Immune Systems
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    Chapter 23 IoT Cargo Weight Tracking System for Supply Chains
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    Chapter 24 Developing Logistic Software Platforms: E-Market Place, a Case Study
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    Chapter 25 A Decision Support Tool for Energy-Optimising Railway Timetables Based on Behavioural Data
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    Chapter 26 Evaluation of Bottom-Up and Top-Down Strategies for Aggregated Forecasts: State Space Models and ARIMA Applications
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    Chapter 27 Multi-Stage Recovery Resilience: A Case Study of the Dique Canal
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Title
Computational Logistics
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-31140-7
ISBNs
978-3-03-031139-1, 978-3-03-031140-7
Editors

Carlos Paternina-Arboleda, Stefan Voß

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 40%
Student > Ph. D. Student 1 20%
Researcher 1 20%
Unknown 1 20%
Readers by discipline Count As %
Engineering 3 60%
Mathematics 1 20%
Unknown 1 20%