Liner Ship Fleet Planning: Models and Algorithms systematically introduces the latest research on modeling and optimization for liner ship fleet planning with demand uncertainty. Container shipping companies have struggled since the financial crisis of 2007-2008, making it critical for them to make informed decisions about their fleet planning and development.
Current and future shipping professionals require systematic approaches for investigating and solving their fleet planning problems, as well as methodologies for addressing their other shipping responsibilities. Liner Ship Fleet Planning addresses these needs, providing the most recent quantitative research of liner shipping in maritime transportation. The research and methods provided assist those tasked with optimizing shipping efficiency and fleet deployment in the face of uncertain demand. Suitable for those with any level of quantitative background, the book serves as a valuable resource for both maritime academics, and shipping professionals involved in planning and scheduling departments.
1. Part One: Introduction - p. xiii 2. Chapter One: Introduction to Shipping Services - p. xiii 3. Chapter Two: Liner Ship Fleet Planning - p. 14 4. Part Two: Mathematical Modeling - p. 38 5. Chapter Three: Introduction to Stochastic Programming - p. 38 6. Chapter Four: Chance-Constrained Programming - p. 48 7. Chapter Five: Two-Stage Stochastic Model - p. 59 8. Part Three: Solution Algorithms - p. 72 9. Chapter Six: Sample Average Approximation - p. 72 10. Chapter Seven: Dual Decomposition and Lagrangian Relaxation - p. 84 11. Part Four: Case Studies - p. 92 12. Chapter Eight: Liner Ship Fleet Planning Problem With an Individual Chance-Constrained Service Level - p. 92 13. Chapter Nine: Liner Ship Fleet Planning Problem With a Joint Chance-Constrained Service Level - p. 112 14. Chapter Ten: Liner Ship Fleet Planning with Expected Profit Maximization - p. 126 15. Chapter Eleven: Multiperiod Liner Ship Fleet Planning - p. 148 16. Part Five: Conclusion - p. 175 17. Chapter Twelve: Conclusions and Future Outlook - p. 175 18. Index - p. 185
Liner Ship Fleet Planning: Models and Algorithms systematically introduces the latest research on modeling and optimization for liner ship fleet planning with demand uncertainty. Container shipping companies have struggled since the financial crisis of 2007-2008, making it critical for them to make informed decisions about their fleet planning and development.
Current and future shipping professionals require systematic approaches for investigating and solving their fleet planning problems, as well as methodologies for addressing their other shipping responsibilities. Liner Ship Fleet Planning addresses these needs, providing the most recent quantitative research of liner shipping in maritime transportation. The research and methods provided assist those tasked with optimizing shipping efficiency and fleet deployment in the face of uncertain demand. Suitable for those with any level of quantitative background, the book serves as a valuable resource for both maritime academics, and shipping professionals involved in planning and scheduling departments.
1. Part One: Introduction - p. xiii 2. Chapter One: Introduction to Shipping Services - p. xiii 3. Chapter Two: Liner Ship Fleet Planning - p. 14 4. Part Two: Mathematical Modeling - p. 38 5. Chapter Three: Introduction to Stochastic Programming - p. 38 6. Chapter Four: Chance-Constrained Programming - p. 48 7. Chapter Five: Two-Stage Stochastic Model - p. 59 8. Part Three: Solution Algorithms - p. 72 9. Chapter Six: Sample Average Approximation - p. 72 10. Chapter Seven: Dual Decomposition and Lagrangian Relaxation - p. 84 11. Part Four: Case Studies - p. 92 12. Chapter Eight: Liner Ship Fleet Planning Problem With an Individual Chance-Constrained Service Level - p. 92 13. Chapter Nine: Liner Ship Fleet Planning Problem With a Joint Chance-Constrained Service Level - p. 112 14. Chapter Ten: Liner Ship Fleet Planning with Expected Profit Maximization - p. 126 15. Chapter Eleven: Multiperiod Liner Ship Fleet Planning - p. 148 16. Part Five: Conclusion - p. 175 17. Chapter Twelve: Conclusions and Future Outlook - p. 175 18. Index - p. 185
