Decision support system for container terminal planning |
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| Affiliation: | 1. Department of Physics and Astronomy, The University of Western Ontario, London N6A 3K7, Canada;2. Astronomical Institute, Academy of Sciences of the Czech Republic, Ondrejov CZ-25165, Czech Republic;1. Center for Clinical Epidemiology and Population Health, Marshfield Clinic Research Foundation, United States;2. National Farm Medicine Center, Marshfield Clinic Research Foundation, United States;3. Division of Research, Essentia Institute of Rural Health, United States;4. Department of Medicine and Public Health, University of Washington and Veterans Administration Puget Sound Health Care System, United States;1. Laboratory of Normal and Pathological Homeostasis of the Immune System, INSERM Unité Mixte de Recherche 1163, Paris France;2. Imagine Institute, Paris Descartes University-Sorbonne Paris Cité, Paris France;;3. Département d''Immunologie, Institut Pasteur, Unité d''Immunité Innée, Paris, France;4. Institut Pasteur, INSERM U668, Paris, France;5. Immunology and Pediatric Hematology Department, Necker Children''s Hospital, Assistance Publique – Hôpitaux de Paris, Paris, France;6. Collège de France, Paris, France;7. Centre d''Etudes des Déficits Immunitaires, Assistance Publique-Hôpitaux de Paris, Hôpital Necker, Paris, France;1. Photonics Research Centre, University of Malaya, 50603 Kuala Lumpur, Malaysia;2. School of Physics, Northwest University, Xi’an, Shaanxi 710069, China |
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| Abstract: | In this paper we describe a decision support system for capacity planning of container terminals. Typical elements of a container terminal are a quay, cranes,a stack yard and trucks for transport of containers between the quay and the stack yard and vice versa. For each of these elements we can devise models to describe the performance. The decision support system combined a heuristic analysis of these models to a global model to study the interaction between the elements of a container terminal. |
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