CONTENTS -- Preface -- Regional Developments and Performance Analysis -- Ports and Liners Operations -- Concluding Remarks -- Part 1: Regional Developments and Performance Analysis -- 1. Maritime Trade Evolutions and Port City Developments In Asia -- 1. Introduction -- 2. Evolution of Asia'sMaritime Trade -- 2.1. Ancient maritime trade between India and China, 1200-1450 -- 2.2. Maritime networks in colony times, 1500-1950 -- 2.3. Asia's maritime trade under globalization -- 3. Asia Port Developments in the 1990s and Beyond -- 3.1. Northeast Asia -- 3.1.1. Greater China region -- 3.1.2. Korea -- 3.1.3. Japan -- 3.2. Southeast Asia -- 3.2.1. Singapore -- 3.2.2. Malaysia -- 3.2.3. Indonesia -- 3.2.4. Philippines -- 3.2.5. Thailand -- 3.3. South Asia ports -- 3.3.1. India ports -- 3.3.2. Sri Lanka ports -- 4. Factors of Port Competitiveness and Development -- 4.1. Port location -- 4.2. Port efficiency -- 4.3. Multimodal network -- 4.4. Maritime trade strategy and institutional settings -- 5. Lessons to be Learnt -- 6. Conclusions -- 7. References -- 2. Recent Development of Maritime Logistics -- 1. Development Trends on Global Container Shipping -- 1.1. Global economic condition and industry perspective -- 1.2. Recent trends in container shipping industry -- 2. Liner Shipping -- 2.1. Container liners -- 2.1.1. Liner market developments -- 2.1.2. Increase in liner ship size -- 2.1.3. Liner productivity -- 2.2. Freight rates -- 3. Ports -- 3.1. Global container terminal operators -- 3.2. Leading terminal operators -- 3.3. Development in transshipment activities -- 3.4. Improvement in port performance -- 3.5. UNCTAD liner shipping connectivity index 2009 -- 4. Conclusions -- 5. References -- 3. Scenario Analysis for Hong Kong Port Development Under Changing Business Environment -- 1. Introduction -- 2. Literature Review.

3. Changing Business Environment for HKP -- 3.1. Changing business environment in the PRD region -- 3.2. Potential processing trade relocation trends -- 4. A MIP Model -- Parameters -- Decision variables and convenience variables -- Objective function -- Constraints -- 5. Experimental Design -- 5.1. Experimental scenarios -- 5.2. Experimental data -- 6. Results, Analysis and Findings -- 6.1. Modeling results at base scenario -- 6.2. Sensitivity analysis -- 6.3. Scenario analysis and findings -- 7. Conclusions and Future Work -- 8. References -- 4. Models for Port Competitive Analysis in Asia-Pacific Region -- 1. Introduction -- 2. Literature Review -- 3. Port Benchmarking Models -- 3.1. Port efficiency -- 3.1.1. Case study -- 3.2. Port connectivity -- 3.2.1. Case study -- 3.3. Impact of factors on individual ports -- Assumptions -- Parameters -- MCNFM -- 3.3.1. Case study -- Singapore port -- Busan port -- 4. Conclusion and Discussion -- 5. References -- 5. Is Port Throughput a Port Output? -- 1. Introduction -- 2. Port Production Function -- 3. Port Operating Options -- 4. Port Resource Function -- 5. Container Port Output -- 5.1. TEU Throughput and the port production function -- 5.2. TEU Throughput and port cost functions -- 5.2.1. Long-run total cost function -- 5.2.2. Short-run variable cost function -- 5.2.3. Port cost function estimates -- 6. Port Interchange ServiceMeasures -- 6.1. Port revenue -- 6.2. Port throughput ratio -- 7. Conclusion -- 8. References -- 6. A Framework for Modelling and Benchmarking Maritime Clusters: An Application to the Maritime Cluster of Piraeus -- 1. Introduction -- 2. Conceptual Definition: Cluster Theory and Maritime Clusters -- 3. The Concept of Maritime Clusters -- 4. Spatial Paradigm: The Greater Area of Piraeus -- 4.1. The structure of the Piraeus maritime cluster.

4.2. The economic footprint of the maritime industry in the region -- 4.3. SWOT analysis -- 5. Methods for Evaluating and Benchmarking Maritime Clusters -- 5.1. General cluster sizing indicators -- Cluster Structure Indicators -- Economic Performance Indicators -- 5.2. Intra-cluster performance indicators -- Innovation & Research Indicators -- Knowledge Diffusion -- 5.3 On the use of data and analysis for measuring performance of maritime clusters -- Cluster Mapping -- Cluster Database -- Survey/Interviews -- 6. Computational Methods for Simulation and Life-Cycle Management of Maritime Clusters -- 6.1. Agent-based modeling and simulation -- 6.2. Modeling case study: the maritime cluster of Piraeus -- 6.3. Agent-based modeling toolkit -- 7. Conclusions -- 8. References -- 7. A Performance Evaluation Strategy Towards Dealers in the Automotive Supply Chain -- 1. Introduction -- 2. Problems of Dealer Evaluation -- 3. Indicators Definition for Dealers' Performance Evaluation -- 3.1. Balanced scorecard method -- 3.2. Evaluation indicators definition -- 4. Dealers' Performance Evaluation via ANP -- 4.1. Analytic network process (ANP) -- 4.2. Enabling factors of dealers' performance -- 4.3. Procedure of dealers' performance evaluation -- 4.4. Method for dealers' performance evaluation -- 5. Case Study -- 6. Conclusions -- Acknowledgments -- 7. References -- Part 2: Ports and liners operations -- 8. A Yard Allocation Strategy for Export Containers Via Simulation and Optimization -- 1. Introduction -- 2. Related Work -- 2.1. Yard allocation for import containers -- 2.2. Yard allocation for export containers -- 2.3. Combined yard allocation -- 3. Yard Allocation Modeling for Export Containers -- 3.1. Problem description -- 3.2. Yard allocation modeling -- (i) Assumptions -- (ii) Notation -- (iii) Decision Variables -- (iv) Mathematical Models.

4. Yard Allocation Algorithm for Export Containers -- 4.1. Heuristic algorithm for feasible solution -- 4.2. Procedure of genetic algorithm -- 5. Simulation Model -- 5.1. Simulation framework -- 5.2. Input parameters -- 5.3. Simulation process -- 5.4. Statistical simulation indices -- 6. Case Study -- 7. Conclusions -- Acknowledgments -- 8. References -- 9. Integration of AGVS in Intermodal Rail Operations at Deep Sea Terminals -- 1. Introduction -- 2. Earlier Attempts to Address the Problem -- 2.1. Fixed rail mounted gantry cranes linking ship to shore crane with stacking area and hinterland modes rail and road -- 2.2. NOELL - an approach by K.-P. FRANKE -- 3. The AGV-solution to Integrate Railway Operations in Deep Sea Terminals -- 4. Conclusion -- 5. References -- 10. On the Ongoing Increase of Containership Size -- 1. Introduction -- 2. Economies of Ship Size -- 2.1. Modeling ship size economies -- 2.2. Capital related costs -- 2.3. Labour related costs -- Fuel related Costs -- Conclusions on Economies of Ship Size for Daily Costs -- 3. Shipping Costs of Post Panamax Containerships -- 3.1. Fixed annual costs -- 3.2. Fuel costs -- 3.3. Shipping costs per roundtrip -- Conclusions on Economies of Ship Size on Long Distance Trade -- 4. The Ongoing Increase of Containership Size -- 4.1. Development of ship size and trade -- 4.2. Factors limiting economies of ship size -- 4.2.1. Structural design, engine and cavitation problems -- 4.2.2. Trading draft -- 4.2.3. The New Panama Canal -- 4.3. A balance between user and producer costs -- 4.4. Factors affecting development of user costs -- 4.4.1. Numbers of ports being connected -- 4.4.2. Development of transhipment -- 5. Conclusions -- 6. References -- 11. A Linearized Approach for Liner Ship Fleet Planning with Demand Uncertainty -- 1. Introduction -- 1.1. Background -- 1.2. Literature review.

1.3. Randomness -- 1.4. Contributions -- 2. Problem Description, Assumptions and Notations -- 2.1. Itinerary -- 2.2. Charter strategies -- 2.3. Chance constraints -- 2.4. Notations -- Sets -- Deterministic Parameters -- Random Data -- Decision variables -- 3. A Mixed Integer Nonlinear Programming Model with Chance Constraints -- 4. A Linearized Approach -- 5. Numerical Example -- 6. Summary and Conclusion -- Acknowledgement -- 7. References -- 12. Ship Emissions, Costs and Their Tradeoffs -- 1. Introduction -- 2. Background -- 3. Some Basics: Algebra of Emissions and Fuel Cost -- 4. A Simple Logistical Scenario: Factors and Tradeoffs -- Example 1 - Aframax Tanker Fleet -- Example 2 - Panamax Containership Fleet -- 5. The Cost to Avert One Tonne of CO -- 6. The Port Time Factor -- 7. Speed Reduction at SECAs -- 8. SECAs Continued: Effect on Modal Split -- 9. Conclusions -- Acknowledgments -- 10. References -- 13. Exploring Tanker Market Elasticity with Respect to Oil Production Using Foresim -- 1. Introduction -- 2. Methodology -- 3. Simulation Results -- 4. Conclusions -- 5. References.