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

dc.contributor.authorLarson, Richard C.en_US
dc.contributor.authorOdoni, Amedeo R.en_US
dc.contributor.authorBarnett, Arnolden_US
dc.coverage.temporalFall 2004en_US
dc.date.issued2004-12
dc.identifier1.203J-Fall2004
dc.identifierlocal: 1.203J
dc.identifierlocal: 6.281J
dc.identifierlocal: 15.073J
dc.identifierlocal: 16.76J
dc.identifierlocal: ESD.216J
dc.identifierlocal: IMSCP-MD5-8ec3ae0ecaefc8f728e8e275984277d6
dc.identifier.urihttp://hdl.handle.net/1721.1/91482
dc.description.abstractThe 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.languageen-USen_US
dc.relationen_US
dc.relationen_US
dc.relationen_US
dc.rights.uriUsage 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.uriUsage Restrictions: Attribution-NonCommercial-ShareAlike 3.0 Unporteden_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.subjectlogisticsen_US
dc.subjecttransportationen_US
dc.subjecthypercube modelsen_US
dc.subjectbarrier exampleen_US
dc.subjectoperations researchen_US
dc.subjectspatial queuesen_US
dc.subjectqueueing modelsen_US
dc.subjectnetwork modelsen_US
dc.subjectTSPen_US
dc.subjectheuristicsen_US
dc.subjectgeometrical probablitiesen_US
dc.subjectMarkoven_US
dc.subject1.203Jen_US
dc.subject1.203en_US
dc.subject6.281Jen_US
dc.subject6.281en_US
dc.subject15.073Jen_US
dc.subject15.073en_US
dc.subject16.76Jen_US
dc.subject16.76en_US
dc.subjectESD.216Jen_US
dc.subjectESD.216en_US
dc.title1.203J / 6.281J / 15.073J / 16.76J / ESD.216J Logistical and Transportation Planning Methods, Fall 2004en_US
dc.title.alternativeLogistical and Transportation Planning Methodsen_US
dc.typeLearning Object
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronautics
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.contributor.departmentSloan School of Management


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