Titlebook: Design and Operation of Automated Container Storage Systems; Nils Kemme Book 2013 Springer-Verlag Berlin Heidelberg 2013 Container Stackin

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Foundation Mathematics for Computer Science of choice for analysing all kinds of planning problems at seaport container terminals. In this chapter, the use of simulation for investigating strategical and operational planning problems of automated RMGC systems is addressed. It is started with a brief introduction to the field of simulation an

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Foundation Mathematics for Engineersiner terminals. For that purpose, thousands of simulation experiments are conducted with the previously introduced RMGC-simulation model, statistically analysed, interpreted and discussed. Firstly, the effects of decisions on the operating type of RMGC system and the yard-block layout on the operati

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Proportionality and Linear Laws,ed by the increasing use of different design variants of automated RMGC systems at container terminals all around the world, which is driven by the trend towards using more eco-friendly and less labour-intensive terminal equipment—in particular in industrialised countries in Europe, North-America an

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Book 2013le terminal system and plays a major role for trade and transport flows. One of the latest trends in container-storage operations is the automated Rail-Mounted-Gantry-Crane system, which offers dense stacking, and offers low labour costs. This book investigates whether the operational performance of

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1431-1941 ing automated container storage systems.Includes over 50 illThe storage yard is the operational and geographical centre of most seaport container terminals. Therefore, it is of particular importance for the whole terminal system and plays a major role for trade and transport flows. One of the latest

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Foundation Mathematics for Computer Sciencesed. Then, different types of storage-yard systems are compared and—to motivate the further investigation—the automated RMGC system is found to be of great relevance for the performance of modern container terminals. As a consequence, this comparison is followed by a detailed description of the RMGC system and its variants.

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Foundation Mathematics for Computer Sciencesented which are based on priority rules, integer programming, enumeration and genetic algorithms. Finally, the problem of routing RMGCs is introduced, relevant literature for that problem is discussed and different claiming-based routing strategies are presented.

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Foundation Mathematics for Computer Sciencees for a new simulation model addressing the research questions of this work are summarised. The chapter is closed with an introduction to conceptual design, main features, assumptions and limitations as well as validation and verification aspects of the RMGC-simulation model that is actually used for the simulation study of this work.

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