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Liner ship fleet planning/Планирование лайнерных переходов

Артикул: 00-01012001
в желания В наличии
Автор: Tingsong Wang, Shuaian Wang, Qiang Meng
Издательство: Elsevier Science (все книги издательства)
Место издания: UK
ISBN: 978-0-12-811502-2
Год: 2017
Переплет: Мягкая обложка
Страниц: 184
Вес: 463 г
3800 P

Книга на английском языке.
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.

Liner Ship Fleet Planning
About the Authors
Chapter 1. Introduction to Shipping Services
Chapter 2. Liner Ship Fleet Planning
Chapter 3. Introduction to Stochastic Programming
Chapter 4. Chance-Constrained Programming
Chapter 5. Two-Stage Stochastic Model
Chapter 6. Sample Average Approximation
Chapter 7. Dual Decomposition and Lagrangian Relaxation
Chapter 8. Liner Ship Fleet Planning Problem With an Individual Chance-Constrained Service Level
Chapter 9. Liner Ship Fleet Planning Problem With a Joint Chance-Constrained Service Level
Chapter 10. Liner Ship Fleet Planning with Expected Profit Maximization
Chapter 11. Multiperiod Liner Ship Fleet Planning
Chapter 12. Conclusions and Future Outlook

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