The ever-growing demand for commercial activities at sea has meant that ships are rapidly developing and that the rules governing their construction and operation are changing. "Practical Ship Design" records these changes, their outcomes and the reasoning behind them.

It deals with every aspect of ship design and handles a wide range of both merchant ships and naval ships with authority. It provides coverage of cargo ships and passenger ships, tugs, dredgers and other service craft. It also includes concept design, detail design, structural design, hydrodynamics design, the effect of regulations, the preparation of specifications and matters of costs and economics.

Drawing on the author's extensive practical experience, "Practical Ship Design" is likely to interest everybody involved in the design, construction, repair and operation of ships. Students and the most experienced professionals will all benefit from the book's vast store of design data and its conclusions and recommendations.

Machine learning and data analytics can be used to inform technical, commercial and financial decisions in the maritime industry. Applications of Machine Learning and Data Analytics Models in Maritime Transportation explores the fundamental principles of analysing maritime transportation related practical problems using data-driven models, with a particular focus on machine learning and operations research models. Data-enabled methodologies, technologies, and applications in maritime transportation are clearly and concisely explained, and case studies of typical maritime challenges and solutions are also included. The authors begin with an introduction to maritime transportation, followed by chapters providing an overview of ship inspection by port state control, and the principles of data driven models. Further chapters cover linear regression models, Bayesian networks, support vector machines, artificial neural networks, tree-based models, association rule learning, cluster analysis, classic and emerging approaches to solving practical problems in maritime transport, incorporating shipping domain knowledge into data-driven models, explanation of black-box machine learning models in maritime transport, linear optimization, advanced linear optimization, and integer optimization. A concluding chapter provides an overview of coverage and explores future possibilities in the field. The book will be especially useful to researchers and professionals with expertise in maritime research who wish to learn how to apply data analytics and machine learning to their fields.

This book reveals changing management paradigms with new normal in the maritime sector. Thus, maritime business has once again justified that it's one of the leading and ceaseless sectors of all times during hard times. Amidst the pandemic, employees of the maritime and logistics sector have continued their activities both on shore and on board in order to complete operations and supply continuity of logistics management in hard times. While organizations work on giving the best services to customers, the shipping industry has been affected by the work life changes of the pandemic. Remote work opportunities for employees of onshore maritime organizations has led to sustainable changes for the future of global maritime business. Therefore, changes have been felt in talent management in new shipping, changing maritime ethics and affected maritime industry psychology during Covid19 pandemic, employees' motivation, importance of seafarers, employee rights and responsibilities. The book addresses the future state of maritime organizations, the future of work in the maritime industry, seafarers, onshore employees, employers, definition of remote work amidst changes and new regulations in the new world normal to reveal how such change effected the global maritime industry. This book will shed light on the Leaders and Managers from maritime and logistics industries by sharing experiences, new paradigms, practices and strategies. This provides practical ideas and ways to cope with the consequences of the New Normal in the wake of the pandemic crisis worldwide. Furthermore, the book inspires other people, particularly in the maritime industry as well administrators, employees, leaders and those in senior management positions on how to survive during this period of uncertainties and challenges in operating their business and their human resources management activities.