Solving Transport Problems E-Book
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- Herausgeber: John Wiley & Sons
- Kategorie: Wissenschaft und neue Technologien
- Sprache: Englisch
Solving Transport Problems establishes fundamental points and good practice in resolving matters regarding green transportation. This is to prompt further research in conveyance issues by providing readers with new knowledge and grounds for integrated models and solution methods. Focusing on green transportation, this book covers various sub-topics and thus consists of diverse content. Traditionally, academia and transport practitioners have mainly concentrated on efficient fleet management to achieve economic benefits and better-quality service. More recently, due to growing public environmental concerns and the industry understanding of the issue, the academic community has started to address environmental issues. The studies of green transportation compiled in this book have identified certain areas of interest, such as references, viewpoints, algorithms and ideas. Solving Transport Problems is for researchers, environmental decision-makers and other concerned parties, to start discussion on developing optimized technology and alternative fuel-based integrated models for environmentally cleaner transport systems.
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Seitenzahl: 398
Veröffentlichungsjahr: 2019
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Table of Contents
Cover
Preface
Acknowledgments
1 An Adaptive Large Neighborhood Search Heuristic for the Green Dial-a-Ride Problem
1.1. Introduction
1.2. Literature review
1.3. Problem definition
1.4. An Adaptive Large Neighborhood Search for the G-DARP
1.5. Computational experiments
1.6. Conclusion
1.7. References
2 Role of Green Technology Vehicles in Road Transportation Emissions – Case of the UK
2.1. Introduction
2.2. Alternative Fuel-Powered vehicles market
2.3. Electric vehicles – options and features
2.4. UK transport emissions and the impact of BEVs
2.5. Cost implications
2.6. Conclusion
2.7. References
3 Transport Pooling: Moving Toward Green Distribution
3.1. Introduction
3.2. Concepts of collaborative logistics
3.3. Pooling of physical flows between organizations
3.4. Literature review
3.5. Proposal of pooling scenarios for the urban distribution of goods
3.6. Comparison of scenarios
3.7. Proposal for a shared long-distance distribution model
3.8. Conclusion
3.9. References
4 A Ruin and Recreate Solution Method for a Lexicographic Vehicle Routing Problem Integrating Park-and-Loop and Car Sharing
4.1. Introduction
4.2. Literature review
4.3. Considered problem
4.4. Lexicographic approach
4.5. Solution method
4.6. Results
4.7. Conclusion and future work
4.8. References
5 An Overview of the Recent Solution Approaches in the Green Vehicle Routing Problem
5.1. Introduction
5.2. Chronological progress of the literature on the GVRP
5.3. Solution methodologies for the GVRP
5.4. Conclusion
5.5. References
6 Multi-Criteria Decision Aid for Green Modes of Crude Oil Transportation Using MACBETH: The Sfax Region Case
6.1. Introduction
6.2. State-of-the-art
6.3. Real case: choice of crude oil transportation modal from the Sfax region to the Skhira port
6.4. Conclusion
6.5. References
7 Green Reverse Logistics: Case of the Vehicle Routing Problem with Delivery and Collection Demands
7.1. Introduction and significance
7.2. The Vehicle Routing Problem and its variants
7.3. The VRP with delivery and collection demand models
7.4. Studies in VRPB-related areas
7.5. Conclusion
7.6. References
8 An Improved DTC Induction Motor for Electric Vehicle Propulsion: An Intention to Provide a Comfortable Ride
8.1. Introduction
8.2. Several components of EV motor drive
8.3. An overview of induction motor control strategies
8.4. DTC strategies
8.5. Comparative study based on simulation results
8.6. Conclusion
8.7. References
9 Optimization in Multilevel Green Transportation Problems with Electrical Vehicles
9.1. Introduction
9.2. Transportation problems with electric vehicles
9.3. Search techniques
9.4. Tendencies and challenges
9.5. Concluding remarks
9.6. References
List of Authors
Index
End User License Agreement
List of Illustrations
Chapter 2
Figure 2.1. EV uptake in the UK over the last 5 years (Data acquired from the So...
Figure 2.2. Conventional layouts for the typical electric vehicles in the curren...
Figure 2.3. Conventional layouts for Hybrids Vehicles (Onewedge 2018). For a col...
Figure 2.4. Layout of the Fuel-Cell Electric Vehicle (Onewedge 2018). For a colo...
Figure 2.5. Thermal management for Li-ion batteries in an EV. (This graph was cr...
Figure 2.6. Average new car CO
2
emissions and registrations (New Car CO
2
Report ...
Figure 2.7. How policies will change the total GHG emissions (Road Transport and...
Figure 2.8. The Indigenous Fuel Mix for the UK in 2015 and 2017 (Energy Trends 2...
Figure 2.9. Varying energy demand throughout the day dependent on seasons. For a...
Chapter 3
Figure 3.1. Types of logistical collaboration (Destouches and Gaide 2011). For a...
Figure 3.2. Opportunities for transport pooling
Figure 3.3. Analysis tools and methods used. For a color version of this figure,...
Figure 3.4. Scenario 0 without urban pooling. For a color version of this figure...
Figure 3.5. Scenario 1 of urban pooling. For a color version of this figure, see...
Figure 3.6. Exchange of products in the warehouse. For a color version of this f...
Figure 3.7. Scenario 2 of urban pooling. For a color version of this figure, see...
Figure 3.8. Scenario 3 of urban pooling. For a color version of this figure, see...
Figure 3.9. Scenario 4 of urban pooling. For a color version of this figure, see...
Figure 3.10. Transfer of products to B. For a color version of this figure, see ...
Figure 3.11. Scenario 5 of urban pooling. For a color version of this figure, se...
Figure 3.12. Scenario 6 of urban pooling. For a color version of this figure, se...
Figure 3.13. Scenario 7 of urban pooling. For a color version of this figure, se...
Figure 3.14. Distances between different organizations. For a color version of t...
Figure 3.15. Travel distances of the scenarios. For a color version of this figu...
Figure 3.16. EqCO2 for the different scenarios
Figure 3.17. Distribution costs for the different scenarios. For a color version...
Figure 3.18. Delivery times for the different scenarios
Figure 3.19. Comparison of the different scenarios. For a color version of this ...
Figure 3.20. Scenario 1. For a color version of this figure, see www.iste.co.uk/...
Figure 3.21. Scenario 2. For a color version of this figure, see www.iste.co.uk/...
Figure 3.22. Urban and interurban pooling models. For a color version of this fi...
Chapter 4
Figure 4.1. Solution exhibiting coordination between light and heavy transportat...
Figure 4.2. Best solutions for formulations (A), (B), and (P) for the most clust...
Chapter 6
Figure 6.1. Matrix of attractiveness differences (specific infrastructure cost c...
Figure 6.2. Matrix of attractiveness differences (variable cost criterion)
Figure 6.3. Matrix of attractiveness differences (loss of control criterion)
Figure 6.4. Matrix of attractiveness differences (inappropriate parking criterio...
Figure 6.5. Matrix of attractiveness differences (occupational disease criterion...
Figure 6.6. Matrix of attractiveness differences (passage by a high risk area cr...
Figure 6.7. Matrix of attractiveness differences (damage of product transported ...
Figure 6.8. Matrix of attractiveness differences (mechanical breakdown criterion...
Figure 6.9. Matrix of attractiveness differences (explosion wheel criterion)
Figure 6.10. Matrix of attractiveness differences (overflowing of the dangerous ...
Figure 6.11. Matrix of attractiveness differences (rupture within the tank degas...
Figure 6.12. Matrix of attractiveness differences (terrorism risk criterion)
Figure 6.13. Criteria weight matrix based on attractiveness differences
Figure 6.14. Aggregation matrix of performance expressions
Figure 6.15. Tanker Truck Profile related to all criteria
Figure 6.16. Pipeline Profile related to all criteria
Figure 6.17. Criteria weight based on attractiveness differences between criteri...
Figure 6.18. Sensitivity analysis on the weight of the “Cost of Specific Infrast...
Figure 6.19. Sensitivity analysis on the weight of the “Loss of Control (C3)” cr...
Figure 6.20. Sensitivity analysis on the weight of the “Terrorism Risk (C12)” cr...
Figure 6.21. Sensitivity analysis on the weight of the “Rupture within the Tank ...
Figure 6.22. Sensitivity analysis on the weight of the “Overflowing of Dangerous...
Figure 6.23. Sensitivity analysis on the weight of the “Damage to the Product Tr...
Figure 6.24. Sensitivity analysis on the weight of the “Explosion Wheel (C9)” cr...
Chapter 7
Figure 7.1. An illustrative example of the VRP. For a color version of this figu...
Figure 7.2. An illustrative example of the VRPB. For a color version of this fig...
Chapter 8
Figure 8.1. Components of an EV propulsion system. For a color version of this f...
Figure 8.2. Two-level inverter
Figure 8.3. EV-DTC scheme
Figure 8.4. Proposed torque loop
Figure 8.5. Case of centered PWM
Figure 8.6. Transient response during starting, acceleration and deceleration of...
Figure 8.7. Transient response during starting, acceleration, and deceleration o...
Figure 8.8. Rate of the torque ripples. (1) T
RIP,
1
, (2) root-mean-square (RMS) v...
Guide
Cover
Table of Contents
Begin Reading
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Series Editor
Patrick Siarry
Solving Transport Problems
Towards Green Logistics
Edited by
Walid Besbes
Diala Dhouib
Niaz Wassan
Emna Marrekchi
First published 2019 in Great Britain and the United States by ISTE Ltd and John Wiley & Sons, Inc.
Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms and licenses issued by the CLA. Enquiries concerning reproduction outside these terms should be sent to the publishers at the undermentioned address:
ISTE Ltd27-37 St George’s RoadLondon SW19 4EUUK
www.iste.co.uk
John Wiley & Sons, Inc.111 River StreetHoboken, NJ 07030USA
www.wiley.com
© ISTE Ltd 2019
The rights of Walid Besbes, Diala Dhouib, Niaz Wassan and Emna Marrekchi to be identified as the authors of this work have been asserted by them in accordance with the Copyright, Designs and Patents Act 1988.
Library of Congress Control Number: 2019947447
British Library Cataloguing-in-Publication Data
A CIP record for this book is available from the British Library
ISBN 978-1-78630-389-9
Preface
Optimization of Green Transportation Problems: Fundamentals and Applications
Achieving a greener environment is a challenging issue despite recent substantial advancements on the subject from environmental agencies, governments, academics, practitioners, and some other concerned quarters such as civil societies. In recent years, academic research is increasingly motivated by practically transferable applications and managerial implications, inspired by real business operations. Nowadays, it is even more important to address and incorporate green issues in research. These are times in which we must make conscious efforts to bridge the gap between academia and industry. Any advances achieved in academia can directly influence company operations and policy and vice versa, and this can act as a conductor of shared knowledge and experience. As a part of the ongoing greening efforts, we believe this book will positively contribute toward providing new dimensions to all relevant stakeholders (e.g. researchers, governments, transport practitioners, green organizations, etc.) to develop new, better and greener models and make strategies to help achieve a cleaner environment. By highlighting various topics related to greenhouse gases, this book also aims to increase general public awareness about the importance of this issue.
Traditionally, academia and transport practitioners have mainly concentrated on efficient fleet management to achieve economic benefits and better-quality service. The green benefits are perceived as secondary objectives achieved as a by-product in academic studies and industry practices. However, more recently, due to growing environment public concerns and the industry appreciation of the issue, the academic community has started to address the green issues. A good deal of literature is available in the area of green transportation and supply chains. Some interesting books and articles have been published in the subject area. We believe that the published research has contributed to identifying the problem areas, enhanced public awareness, suggested solutions, and helped mobilized pressure on certain governments for green legislations and on companies for corporate social responsibilities. However, despite such ample efforts from various researchers around the globe, the area of optimizing green transportation problems appears to be in its infancy. As a part of continued efforts, this book is oriented toward implanting fundamentals and practice in the optimization of green transportation problems that would trigger incitement for further research in the subject area by providing readers with new knowledge and grounds for integrated models and solution methods. The existing research in this book clearly indicates that incorporating green issues in optimization problems can lead to significant improvements in CO2 emissions and that this is a fruitful emerging area of research with great potential.
Focusing on green transportation, this book is comprised of diverse content. It includes presentations of the green dial-a-ride problem with alternative fuel vehicles for public transportation; the role of green technologies in helping to reduce carbon emissions; a conceptual framework modeling transport pooling in the case of urban and inter-urban distributions and analyzed through various scenarios to minimize traveling distances and greenhouse gases emission; a vehicle routing problem modeling approach with new integrated features such as park-and-loop and car sharing to minimizing adverse environmental impacts by avoiding use of heavy vehicles; an overview of solution approaches used recently for the GVRP and related extensions; a case study based on the MACBETH multi-criteria decision analysis approach using economic, environmental, and social criteria to find the appropriate mode of transport for hazardous materials; a green reverse logistics case of the vehicle routing problem with delivery and collection demands in freight transportation; a synchronized multi-modal transportation model for greener transportation options to decrease the environmental footprint associated with urban logistics; the optimization of multi-level green transportation problems considering aspects such as charging stations and routing; and direct torque control technique approaches suitable for electric vehicle momentum.
As can be seen from the above brief account of the chapters, the studies in this book incorporate diverse aspects related to green transportation. In particular, these studies show the significance of optimization in tackling green transport logistic problems, emphasize the importance of the role of technology and alternative fuel-based transport systems, and provide knowledge for greater environmental awareness.
We believe the studies of green transportation compiled in this edited book have identified certain areas of interest such as references, viewpoints, algorithms, and ideas for researchers, environmental planners, and other concerned quarters to start discussion on developing optimized technology and alternative fuel-based integrated models for environmentally cleaner transport systems.
Walid BESBES
Diala DHOUIB
Niaz WASSAN
Emna MARREKCHI
September 2019
Acknowledgments
The editors of the book would like to thank the reviewers for their useful comments and suggestions that improved the presentation as well as the content of the book chapters. We would also like to thank the publishers ISTE and Wiley for providing a chance to edit a book in the area of green transportation optimization, which is one of the contemporary subjects of interest for researchers and organizations.
