1.203J / 6.281J / 15.073J / 16.76J / ESD.216J Logistical and Transportation Planning Methods, Fall 2004
Name
1-203j-fall-2004/contents/index.htm
Size
35.9 KB
Format
HTML
Checksum (MD5)
74a3bc100d9286ffd9db46eb21621ae1
Author(s)
Larson, Richard C.
Odoni, Amedeo R.
Barnett, Arnold
Alternative Title
Logistical and Transportation Planning Methods
Date Issued
December 2004
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.
Subjects
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
MIT 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
Terms of Use
Persistent DSpace Link
