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

Author(s)
Larson, Richard C.; Odoni, Amedeo R.; Barnett, Arnold
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Alternative title
Logistical and Transportation Planning Methods
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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.
Date issued
2004-12
URI
http://hdl.handle.net/1721.1/91482
Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering; Massachusetts Institute of Technology. Department of Aeronautics and Astronautics; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Engineering Systems Division; Sloan School of Management
Other identifiers
1.203J-Fall2004
local: 1.203J
local: 6.281J
local: 15.073J
local: 16.76J
local: ESD.216J
local: IMSCP-MD5-8ec3ae0ecaefc8f728e8e275984277d6
Keywords
logistics, transportation, hypercube models, barrier example, operations research, spatial queues, queueing models, network models, TSP, heuristics, geometrical probablities, Markov, 1.203J, 1.203, 6.281J, 6.281, 15.073J, 15.073, 16.76J, 16.76, ESD.216J, ESD.216
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