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1.203J / 6.281J / 15.073J / 16.76J / ESD.216J Logistical and Transportation Planning Methods, Fall 2004

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Show simple item record Larson, Richard C. en_US Odoni, Amedeo R. en_US Barnett, Arnold en_US
dc.coverage.temporal Fall 2004 en_US 2004-12
dc.identifier 1.203J-Fall2004
dc.identifier local: 1.203J
dc.identifier local: 6.281J
dc.identifier local: 15.073J
dc.identifier local: 16.76J
dc.identifier local: ESD.216J
dc.identifier local: IMSCP-MD5-8ec3ae0ecaefc8f728e8e275984277d6
dc.description.abstract The class will cover quantitative techniques of Operations Research with emphasis on applications in transportation systems analysis (urban, air, ocean, highway, pick-up and delivery systems) and in the planning and design of logistically oriented urban service systems (e.g., fire and police departments, emergency medical services, emergency repair services). It presents a unified study of functions of random variables, geometrical probability, multi-server queueing theory, spatial location theory, network analysis and graph theory, and relevant methods of simulation. There will be discussion focused on the difficulty of implementation, among other topics. en_US
dc.language en-US en_US
dc.relation en_US
dc.relation en_US
dc.relation en_US
dc.rights.uri Usage Restrictions: This site (c) Massachusetts Institute of Technology 2014. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license") unless otherwise noted. The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions. en_US
dc.rights.uri Usage Restrictions: Attribution-NonCommercial-ShareAlike 3.0 Unported en_US
dc.rights.uri en_US
dc.subject logistics en_US
dc.subject transportation en_US
dc.subject hypercube models en_US
dc.subject barrier example en_US
dc.subject operations research en_US
dc.subject spatial queues en_US
dc.subject queueing models en_US
dc.subject network models en_US
dc.subject TSP en_US
dc.subject heuristics en_US
dc.subject geometrical probablities en_US
dc.subject Markov en_US
dc.subject 1.203J en_US
dc.subject 1.203 en_US
dc.subject 6.281J en_US
dc.subject 6.281 en_US
dc.subject 15.073J en_US
dc.subject 15.073 en_US
dc.subject 16.76J en_US
dc.subject 16.76 en_US
dc.subject ESD.216J en_US
dc.subject ESD.216 en_US
dc.title 1.203J / 6.281J / 15.073J / 16.76J / ESD.216J Logistical and Transportation Planning Methods, Fall 2004 en_US
dc.title.alternative Logistical and Transportation Planning Methods en_US

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