Liner ship fleet planning : models and algorithms /
Clasificación: | Libro Electrónico |
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Autores principales: | , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Amsterdam, Netherlands :
Elsevier,
2017.
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Edición: | First edition. |
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Title page; Table of Contents; Copyright; About the Authors; Preface; Acknowledgments; Part One: Introduction; Chapter One: Introduction to Shipping Services; Abstract; Seaborne Trade; Container Ports; Maritime Transportation; Chapter Two: Liner Ship Fleet Planning; Abstract; Introduction; Fleet Size and Mix; Fleet Deployment; Fleet Planning; Research Limitations and Gaps; Summary; Part Two: Mathematical Modeling; Chapter Three: Introduction to Stochastic Programming; Abstract; Motivation; Examples; Summary; Chapter Four: Chance-Constrained Programming; Abstract; Introduction.
- Selected ApplicationsSummary; Chapter Five: Two-Stage Stochastic Model; Abstract; Introduction; Selected Applications; Summary; Part Three: Solution Algorithms; Chapter Six: Sample Average Approximation; Abstract; Introduction; Theoretical Background; Convergence; Lower bound; Feasible Solutions; Examples; Summary; Chapter Seven: Dual Decomposition and Lagrangian Relaxation; Abstract; Introduction; Lagrangian Relaxation; Dual Decomposition; Summary; Part Four: Case Studies; Chapter Eight: Liner Ship Fleet Planning Problem With an Individual Chance-Constrained Service Level; Abstract.
- IntroductionProblem Description, Assumptions, and Notations; Model Development; Numerical Example; Summary; Chapter Nine: Liner Ship Fleet Planning Problem With a Joint Chance-Constrained Service Level; Abstract; Introduction; Model Development; Solution Algorithm; Numerical Example; Summary; Chapter Ten: Liner Ship Fleet Planning with Expected Profit Maximization; Abstract; Introduction; Model Development; Solution Algorithm; Numerical Example; Summary; Chapter Eleven: Multiperiod Liner Ship Fleet Planning; Abstract; Introduction; Problem Statement; Model Development; Solution Algorithm.
- Computational ResultsSummary; Part Five: Conclusion; Chapter Twelve: Conclusions and Future Outlook; Abstract; Conclusions; Outlook; Index.