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Titlebook: Container Terminals and Cargo Systems; Design, Operations M Kap Hwan Kim,Hans-Otto Günther Book 2007 Springer-Verlag Berlin Heidelberg 2007

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書(shū)目名稱(chēng)Container Terminals and Cargo Systems
副標(biāo)題Design, Operations M
編輯Kap Hwan Kim,Hans-Otto Günther
視頻videohttp://file.papertrans.cn/237/236301/236301.mp4
概述Includes supplementary material:
圖書(shū)封面Titlebook: Container Terminals and Cargo Systems; Design, Operations M Kap Hwan Kim,Hans-Otto Günther Book 2007 Springer-Verlag Berlin Heidelberg 2007
描述.Since their introduction in the 1960s containers represent the standard unit-load concept for international freight. Container terminals primarily serve as an interface between different modes of transportation, e.g. domestic rail or truck transportation and deep sea maritime transport. Significant gains in productivity can be achieved through advanced terminal layouts, more efficient IT-support and improved logistics control software systems, as well as automated transportation and handling equipment. The primary objective of this book is to reflect these challenges and to present new insights and successful solutions to operational problems of automated container terminals and cargo systems. It comprises reports on the state of the art, applications of quantitative methods, as well as case studies and simulation results. Its contributions are written by leading experts from academia and business and address practitioners and researchers in logistics, transportation, and management..
出版日期Book 2007
關(guān)鍵詞Container Terminals; Logistics; Quantitative Methods; Simulation; Transportation; distribution; modeling; o
版次1
doihttps://doi.org/10.1007/978-3-540-49550-5
isbn_softcover978-3-642-08049-4
isbn_ebook978-3-540-49550-5
copyrightSpringer-Verlag Berlin Heidelberg 2007
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Comparing transportation systems for inter-terminal transport at the Maasvlakte container terminalssimulation model has been developed to assist in this respect. Transport in this study can be done by either multi-trailers, automated guided vehicles or automated lifting vehicles. The model is equipped with a rule-based control system as well as an advanced planning algorithm. The model is applied
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An optimization model for storage yard management in transshipment hubsmary challenge is to efficiently shift containers between the vessels and the storage area so that reshuffling and traffic congestion is minimized. In particular, to reduce reshuffling, a consignment strategy is used. This strategy groups unloaded containers according to their destination vessel. To
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Advanced methods for container stackingrformance put forward by the increase in the size of container ships. We consider several variants of category stacking, where containers can be exchanged during the loading process. The categories facilitate both stacking and online optimization of stowage. We also consider workload variations for
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