Cover image for Advances in maritime logistics and supply chain systems
Title:
Advances in maritime logistics and supply chain systems
Publication Information:
Singapore, SI. : World Scientific, c2011
Physical Description:
xvi, 315 p. : ill., maps ; 24 cm.
ISBN:
9789814329859

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30000010283656 HE571 A38 2011 Open Access Book Book
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Summary

Summary

This timely book discusses the recent developments in maritime logistics, an important specialized area for the global economy. It includes issues such as the recent economic crisis, port competition and development, and provides insights and trends relating to these issues. Consisting of renowned researchers worldwide, the primary objective of the book identifies some of the new problems and challenges faced and innovative solutions to address these problems.


Table of Contents

Prefacep. xiii
Part 1 Regional Developments and Performance Analysisp. 1
1 Maritime Trade Evolutions and Port City Developments In Asiap. 3
1 Introductionp. 3
2 Evolution of Asia's Maritime Tradep. 7
2.1 Ancient maritime trade between India and China, 1200-1450p. 8
2.2 Maritime networks in colony times, 1500-1950p. 9
2.3 Asia's maritime trade under globalizationp. 12
3 Asia Port Developments in the 1990s and Beyondp. 14
3.1 Northeast Asiap. 15
3.2 Southeast Asiap. 23
3.3 South Asia portsp. 30
4 Factors of Port Competitiveness and Developmentp. 32
4.1 Port locationp. 32
4.2 Port efficiencyp. 35
4.3 Multimodal networkp. 37
4.4 Maritime trade strategy and institutional settingsp. 39
5 Lessons to be Learntp. 41
6 Conclusionsp. 44
7 Referencesp. 45
2 Recent Development of Maritime Logisticsp. 49
1 Development Trends on Global Container Shippingp. 49
1.1 Global economic condition and industry perspectivep. 49
1.2 Recent trends in container shipping industryp. 53
2 Liner Shippingp. 54
2.1 Container linersp. 54
2.2 Freight ratesp. 57
3 Portsp. 58
3.1 Global container terminal operatorsp. 58
3.2 Leading terminal operatorsp. 60
3.3 Development in transshipment activitiesp. 64
3.4 Improvement in port performancep. 65
3.5 UNCTAD liner shipping connectivity index 2009p. 65
4 Conclusionsp. 66
5 Referencesp. 67
3 Scenario Analysis for Hong Kong Port Development Under Changing Business Environmentp. 69
1 Introductionp. 69
2 Literature Reviewp. 72
3 Changing Business Environment for HKPp. 74
3.1 Changing business environment in the PRD regionp. 74
3.2 Potential processing trade relocation trendsp. 75
4 A MIP Modelp. 78
5 Experimental Designp. 81
5.1 Experimental scenariosp. 81
5.2 Experimental datap. 81
6 Results, Analysis and Findingsp. 82
6.1 Modeling results at base scenariop. 82
6.2 Sensitivity analysisp. 83
6.3 Scenario analysis and findingsp. 85
7 Conclusions and Future Workp. 87
8 Referencesp. 88
4 Models for Port Competitive Analysis in Asia-Pacific Regionp. 91
1 Introductionp. 92
2 Literature Reviewp. 93
3 Port Benchmarking Modelsp. 95
3.1 Port efficiencyp. 96
3.2 Port connectivityp. 100
3.3 Impact of factors on individual portsp. 105
4 Conclusion and Discussionp. 111
5 Referencesp. 112
5 Is Port Throughput a Port Output?p. 117
1 Introductionp. 117
2 Port Production Functionp. 118
3 Port Operating Optionsp. 120
4 Port Resource Functionp. 120
5 Container Port Outputp. 121
5.1 TEU Throughput and the port production functionp. 121
5.2 TEU Throughput and port cost functionsp. 122
6 Port Interchange Service Measuresp. 126
6.1 Port revenuep. 126
6.2 Port throughput ratiop. 127
7 Conclusionp. 127
8 Referencesp. 128
6 A Framework for Modelling and Benchmarking Maritime Clusters: An Application to the Maritime Cluster of Piraeusp. 131
1 Introductionp. 132
2 Conceptual Definition: Cluster Theory and Maritime Clustersp. 132
3 The Concept of Maritime Clustersp. 133
4 Spatial Paradigm: The Greater Area of Piraeusp. 137
4.1 The structure of the Piraeus maritime clusterp. 138
4.2 The economic footprint of the maritime industry in the regionp. 140
4.3 SWOT analysisp. 141
5 Methods for Evaluating and Benchmarking Maritime Clustersp. 143
5.1 General cluster sizing indicatorsp. 145
5.2 Intra-cluster performance indicatorsp. 147
5.3 On the use of data and analysis for measuring performance of maritime clustersp. 149
6 Computational Methods for Simulation and Life-Cycle Management of Maritime Clustersp. 151
6.1 Agent-based modeling and simulationp. 151
6.2 Modeling case study: the maritime cluster of Piraeusp. 152
6.3 Agent-based modeling toolkitp. 154
7 Conclusionsp. 154
8 Referencesp. 156
7 A Performance Evaluation Strategy Towards Dealers in the Automotive Supply Chainp. 157
1 Introductionp. 157
2 Problems of Dealer Evaluationp. 158
3 Indicators Definition for Dealers' Performance Evaluationp. 160
3.1 Balanced scorecard methodp. 160
3.2 Evaluation indicators definitionp. 160
4 Dealers' Performance Evaluation via ANPp. 162
4.1 Analytic network process (ANP)p. 162
4.2 Enabling factors of dealers' performancep. 162
4.3 Procedure of dealers' performance evaluationp. 163
4.4 Method for dealers' performance evaluationp. 167
5 Case Studyp. 168
6 Conclusionsp. 169
7 Referencesp. 169
Part 2 Ports and liners operationsp. 171
8 A Yard Allocation Strategy for Export Containers Via Simulation and Optimizationp. 173
1 Introductionp. 173
2 Related Workp. 174
2.1 Yard allocation for import containersp. 174
2.2 Yard allocation for export containersp. 175
2.3 Combined yard allocationp. 175
3 Yard Allocation Modeling for Export Containersp. 176
3.1 Problem descriptionp. 176
3.2 Yard allocation modelingp. 176
4 Yard Allocation Algorithm for Export Containersp. 181
4.1 Heuristic algorithm for feasible solutionp. 182
4.2 Procedure of genetic algorithmp. 183
5 Simulation Modelp. 185
5.1 Simulation frameworkp. 185
5.2 Input parametersp. 186
5.3 Simulation processp. 186
5.4 Statistical simulation indicesp. 187
6 Case Studyp. 188
7 Conclusionsp. 190
8 Referencesp. 191
9 Integration of AGVS in Intermodal Rail Operations at Deep Sea Terminalsp. 193
1 Introductionp. 193
2 Earlier Attempts to Address the Problemp. 195
2.1 Fixed rail mounted gantry cranes linking ship to shore crane with stacking area and hinterland modes rail and roadp. 195
2.2 NOELL - an approach by K.-P. FRANKEp. 195
3 The AGV-solution to Integrate Railway Operations in Deep Sea Terminalsp. 198
4 Conclusionp. 200
5 Referencesp. 200
10 On the Ongoing Increase of Containership Sizep. 201
1 Introductionp. 201
2 Economies of Ship Sizep. 203
2.1 Modeling ship size economiesp. 203
2.2 Capital related costsp. 203
2.3 Labour related costsp. 207
3 Shipping Costs of Post Panamax Containershipsp. 209
3.1 Fixed annual costsp. 210
3.2 Fuel costsp. 210
3.3 Shipping costs per roundtripp. 211
4 The Ongoing Increase of Containership Sizep. 216
4.1 Development of ship size and tradep. 216
4.2 Factors limiting economies of ship sizep. 218
4.3 A balance between user and producer costsp. 221
4.4 Factors affecting development of user costsp. 223
5 Conclusionsp. 225
6 Referencesp. 227
11 A Linearized Approach for Liner Ship Fleet Planning with Demand Uncertaintyp. 229
1 Introductionp. 229
1.1 Backgroundp. 229
1.2 Literature reviewp. 230
1.3 Randomnessp. 232
1.4 Contributionsp. 233
2 Problem Description, Assumptions and Notationsp. 234
2.1 Itineraryp. 234
2.2 Charter strategiesp. 235
2.3 Chance constraintsp. 236
2.4 Notationsp. 238
3 A Mixed Integer Nonlinear Programming Model with Chance Constraintsp. 239
4 A Linearized Approachp. 243
5 Numerical Examplep. 247
6 Summary and Conclusionp. 254
7 Referencesp. 254
12 Ship Emissions, Costs and Their Tradeoffsp. 257
1 Introductionp. 257
2 Backgroundp. 260
3 Some Basics: Algebra of Emissions and Fuel Costp. 267
4 A Simple Logistical Scenario: Factors and Tradeoffsp. 268
5 The Cost to Avert One Tonne of CO2p. 281
6 The Port Time Factorp. 283
7 Speed Reduction at SECAsp. 287
8 SECAs Continued: Effect on Modal Splitp. 290
9 Conclusionsp. 292
10 Referencesp. 293
13 Exploring Tanker Market Elasticity with Respect to Oil Production Using Foresimp. 297
1 Introductionp. 297
2 Methodologyp. 300
3 Simulation Resultsp. 308
4 Conclusionsp. 311
5 Referencesp. 313