Liner Ship Fleet Planning

Liner Ship Fleet Planning : Models and Algorithms

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Description

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.show more

Product details

  • Paperback | 204 pages
  • 152 x 229 x 19.05mm | 320g
  • Elsevier Science Publishing Co Inc
  • United States
  • English
  • 0128115025
  • 9780128115022

About Qiang Meng

Tingsong Wang is an Associate Professor in the Department of Economics and Management at Wuhan University (China). His research interests include maritime transportation, network design and optimization, with a focus on modelling and algorithm design for liner ship fleet planning problems. Shuaian Wang is an Associate Professor in the Department of Logistics and Maritime Studies at Hong Kong Polytechnic University. His research interests include maritime transportation, container shipping and port operations, and transportation network modelling and analysis. Qiang Meng is a Professor in the Department of Civil and Environmental Engineering at National University of Singapore, and track leader on Shipping & Logistics Transportation in the Centre for Maritime Studies of National University of Singapore. His research expertise includes transportation network modelling and optimization, shipping network analysis and quantitative risk analysis.show more

Table of contents

Part I: Introduction 1. Introduction to Shipping Services 2. Liner Ship Fleet Planning Part II: Mathematical Modelling 3. Introduction to Stochastic Programming 4. Chance Constrained Programming 5. Two-Stage Stochastic Model Part III: Solution Algorithms 6. Sample Average Approximation 7. Dual Decomposition and Lagrangian Relaxation Part IV: Case Studies 8. Liner Ship Fleet Planning Problem with Individual Chance-Constrained Service Level 9. Liner Ship Fleet Planning Problem with Joint Chance-Constrained Service Level 10. Liner Ship Fleet Planning with Expected-Profit Maximization 11. Multi-Period Liner Ship Fleet Planning Part V: Conclusion 12. Conclusions and Future Outlookshow more