Solving Transport Problems: Towards Green Logistics

Cover......Page 1
Half-Title Page......Page 3
Title Page......Page 5
Copyright Page......Page 6
Contents......Page 7
Preface: Optimization of Green Transportation Problems: Fundamentals and Applications......Page 13
Acknowledgments......Page 17
 1.1. Introduction......Page 19
 1.2. Literature review......Page 21
  1.2.1. The Dial-a-Ride Problem......Page 22
 1.3. Problem definition......Page 23
 1.4. An Adaptive Large Neighborhood Search for the G-DARP......Page 28
  1.4.1. Adaptive weight adjustment procedure......Page 29
  1.4.3. Local search operators......Page 30
  1.5.1. Data and experimental setting......Page 31
  1.5.2. Parameters setting......Page 32
  1.5.3. Computational analysis......Page 34
 1.7. References......Page 41
 2.1. Introduction......Page 45
 2.2. Alternative Fuel-Powered vehicles market......Page 47
 2.3. Electric vehicles – options and features......Page 48
  2.3.1. Battery relevance......Page 54
  2.3.2. Charging implications......Page 58
  2.3.4. Emissions......Page 62
 2.4. UK transport emissions and the impact of BEVs......Page 65
 2.5. Cost implications......Page 73
 2.6. Conclusion......Page 74
 2.7. References......Page 75
 3.1. Introduction......Page 81
  3.2.1. Definitions and issues......Page 83
  3.2.2. Forms of logistical collaboration......Page 84
 3.3. Pooling of physical flows between organizations......Page 86
  3.4.1. Choice of articles......Page 87
  3.4.2. Analysis and discussion of the results......Page 90
 3.5. Proposal of pooling scenarios for the urban distribution of goods......Page 93
  3.6.1. Distances traveled......Page 99
  3.6.2. Greenhouse gas emissions......Page 101
  3.6.3. Distribution cost......Page 102
  3.6.4. Delivery time......Page 103
  3.6.5. Best scenario......Page 104
 3.7. Proposal for a shared long-distance distribution model......Page 105
 3.9. References......Page 108
 4.1. Introduction......Page 115
 4.2. Literature review......Page 117
 4.3. Considered problem......Page 119
 4.4. Lexicographic approach......Page 121
 4.5. Solution method......Page 122
 4.6. Results......Page 125
  4.6.1. Walking......Page 126
  4.6.2. Electric kick scooter......Page 129
 4.7. Conclusion and future work......Page 130
 4.8. References......Page 131
 5.1. Introduction......Page 133
  5.2.1. The Green-VRP......Page 134
  5.2.2. The Pollution-Routing Problem......Page 137
  5.3.1. Exact methods......Page 138
  5.3.2. Metaheuristics......Page 141
  5.3.3. Heuristics......Page 146
 5.4. Conclusion......Page 147
 5.5. References......Page 148
 6.1. Introduction......Page 153
  6.2.1. Hazardous materials transportation integrated location and routing problem......Page 155
  6.2.2. Hazardous materials transportation risk assessment problem......Page 156
  6.2.3. Hazardous materials transportation network design problem......Page 157
 6.3. Real case: choice of crude oil transportation modal from the Sfax region to the Skhira port......Page 160
  6.3.2. Method for Measuring Attractiveness by a Categorical-Based Evaluation Technique (MACBETH)......Page 161
  6.3.3. Research methodology: MACBETH application......Page 162
  6.3.4. Results and discussions......Page 168
 6.4. Conclusion......Page 175
 6.5. References......Page 176
 7.1. Introduction and significance......Page 179
  7.2.3. VRP variants......Page 182
  7.3.2. The VRP with Simultaneous Deliveries and Pickups......Page 184
  7.3.3. The VRP with Backhauls......Page 185
  7.3.4. The Multiple-Trip Vehicle Routing Problem with Backhauls......Page 186
 7.4. Studies in VRPB-related areas......Page 187
  7.4.1. Significance of the VRP models with delivery and collection demands......Page 188
  7.4.2. Ecological relevance of the VRP models......Page 189
  7.4.3. Computation of freight transport greenhouse gas emissions......Page 190
  7.4.4. Vehicle routing models directly focused on green transportation......Page 192
  7.4.5. Green VRP models......Page 193
  7.4.6. Electric vehicles modeling......Page 194
 7.5. Conclusion......Page 195
 7.6. References......Page 196
 8.1. Introduction......Page 203
 8.2. Several components of EV motor drive......Page 205
 8.3. An overview of induction motor control strategies......Page 206
  8.4.1. Conventional DTC fundamentals......Page 207
  8.4.2. An improvement of DTC strategy: fixed torque switching frequency......Page 211
  8.5.1. Steady-state and transient behavior analysis......Page 213
  8.5.2. Performance criteria......Page 215
  8.5.3. Discussion......Page 216
 8.7. References......Page 217
 9.1. Introduction......Page 221
 9.2. Transportation problems with electric vehicles......Page 224
  9.2.1. Multilevel formulations......Page 225
  9.2.2. Summary review of the literature......Page 227
 9.3. Search techniques......Page 229
  9.3.1. Exact optimization techniques......Page 230
  9.3.2. Genetic algorithms......Page 231
  9.3.3. Imperialism competitive algorithm......Page 232
  9.3.4. Particle Swarm Optimization......Page 234
  9.3.5. Simulated annealing......Page 235
  9.3.6. Neighborhood search......Page 236
  9.3.7. Summary review of the literature......Page 237
 9.4. Tendencies and challenges......Page 241
 9.5. Concluding remarks......Page 243
 9.6. References......Page 244
List of Authors......Page 247
Index......Page 249
Other titles from iSTE in Computer Engineering......Page 251
EULA......Page 261