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Titlebook: Handbook of Ocean Container Transport Logistics; Making Global Supply Chung-Yee Lee,Qiang Meng Book 2015 Springer International Publishing

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發(fā)表于 2025-3-25 05:24:28 | 只看該作者
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發(fā)表于 2025-3-25 10:29:53 | 只看該作者
Container Port Competition and Competitiveness Analysis: Asian Major Portstomer-centric community ports, so-called the Fifth Generation Ports, of which the concept has been modified for evaluation. The literature of competitiveness of container ports applied a number of methods, among others, including time series analysis, DEA and SFA methods, service quality analysis wi
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發(fā)表于 2025-3-25 13:44:41 | 只看該作者
Choosing a Business Model of Container Terminal Operationsan International Ports Corporation (TIPC)—the former port authority of Kaohsiung, Keelung, Taichung, and Hualien in Taiwan. An analytic hierarchy process approach is employed to assess the relative importance of these criteria and business models. Results indicate that benefit and operational capabi
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發(fā)表于 2025-3-25 21:09:36 | 只看該作者
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發(fā)表于 2025-3-26 01:06:12 | 只看該作者
Disruption Management for Liner Shipping with tremendous efforts being paid to optimize the plan. When the plan is executed in real time, however, it is constantly subject to different unexpected disruptions, making the original plan sub-optimal or even infeasible. Therefore we have the need of dynamically revising the operations plan at
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發(fā)表于 2025-3-26 06:40:58 | 只看該作者
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發(fā)表于 2025-3-26 11:42:37 | 只看該作者
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發(fā)表于 2025-3-26 15:47:13 | 只看該作者
Slow Steaming in Maritime Transportation: Fundamentals, Trade-offs, and Decision Modelsices. In recent years the environmental dimension of slow steaming has also become important, as ship emissions are directly proportional to fuel burned. The purpose of this chapter is to examine the practice of slow steaming from various angles. In that context, a taxonomy of models is presented, s
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發(fā)表于 2025-3-26 17:24:31 | 只看該作者
Efficient Global Container Transport Network Designand complexity of container shipping networks, global liner shipping companies are seeking optimization-based decision support tools for designing efficient container transport networks. Nevertheless, the status quo research is far lagging, especially in terms of solving practical-size problems whil
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