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Logistical and Transportation Planning Methods >> Content Detail



Lecture Notes



Lecture Notes

The key for lecturers is as follows:

ALL: All instructors.
AIB: Professor Arnold Barnett, Sloan School of Management
ARO: Professor Amedeo Odoni, Department of Aeronautics and Astronautics
RCL: Professor Richard Larson, Department of Civil and Environmental Engineering

Lec #lecturesLecturers
1Introduction, OverviewALL
2Pedestrian Crossing Problem 1AIB
3Pedestrian Crossing Problem 2AIB
4Functions of Random Variables 1AIB
5Functions of Random Variables 2

Wall of Shame: Barrier Example (PDF

Crofton's Methods (PDF)
AIB
6Geometrical Probability I

Geometrical Probability in the Sky (PDF)
AIB
7Geometrical Probability IIAIB
8Some Transportation Models

Second Nearest Neighbor: Spatial Poisson Example (PDF)
AIB
9Introduction to Queues; Little's Law

Queueing Systems 1 (PDF)
ARO
10Markov Birth-and-Death Queues

Queueing Systems 2 (PDF)
ARO
11More General Markov Queues

Queueing Systems 3 (PDF)
ARO
12The M/G/1 Queue and Extensions

Queueing Systems 4 (PDF)

The M/G/1 Queueing System (PDF)

Preemptive Priority Queues (PDF)
ARO
13Quiz 1
14Congestion Pricing (PDF)

Queueing Systems 5 (PDF)

Queueing Systems 6 (PDF)
ARO
15Queueing Networks; Dynamic QueuesARO
16Hypercube Queueing Model I

Spatial Queues I (PDF - 1.4 MB)
RCL
17Hypercube Queueing Model II

Spatial Queues II (PDF)
RCL
18The Queue Inference EngineRCL
19Introduction to Networks

Networks 1 (PDF)
ARO
20Node and Edge Covering

Networks 2 (PDF)
ARO
21Location Problems

Important Heuristics for TSP (PDF)
ARO
22Probabilistic Routing and Location

TSP Problem 6.7 (PDF)
ARO
23Simulating RandomnessAIB
24ImplementationRCL
25Quiz 2
26Final RoundupALL

 








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