Exponential
Normal
Takeof
Landing
Service
Service
Lambda:
Alpha(1/Lambda):
Lambda:
Alpha(1/Lambda):
Mu:
Sigma:
Mu:
Sigma:
Example 1
Note: Showing Two ways of showing random number. Can be included inside equation (service times for takeof
Random
Number
T
Exponential
Normal
Takeof
Landing
Service
Service
Lambda:
Alpha(1/Lambda):
6
Lambda:
Alpha(1/Lambda):
7
Mu:
5
Sigma:
2
Mu:
5
Sigma:
2
Example 1
Note: Showing Two ways of showing random number. Can be included inside equation (service times for takeof
Ran
Monte Carlo Simulation:
JFK Airport
Joshua Lee
SEPTEMBER 12, 2016
Agenda
Introduction
John F. Kennedy (JFK) Airport
Monte Carlo Simulation
Assumptions
Flow Chart
Performance Measures
Exercises
Presentation
References
Introduction
Air Traffic Control (
Instructor
ISE 420
Dr. Daryl L. Santos
Optimization and
OR II
Stage
Start
1
2
j
m
1
1
1
1
2
2
2
2
M(1)
M(2)
M(j)
M(m)
Stop
1
Agenda
Introduction
to Production
Scheduling Problems
Why?
Good examples of complex, nonlinear
problems to demonstrate upcomin
ISE 420
Optimization & Operations Research II
Probabilistic Dynamic Programming
Instructor: Daryl L. Santos
Binghamton University
1
Probabilistic Dynamic Programming (DP)
This really is not significantly different from
deterministic DP
Probabilistic Dynam
ISE 420
Optimization & Operations Research  II
Nonlinear, Constrained Optimization
Focus: Quadratic Programming
Instructor: Daryl L. Santos
Binghamton University
1
Overview
This lecture briefly describes some of the widely used
nonlinear optimization pro
ISE 420
Optimization & Operations Research  II
Nonlinear Optimization Concepts
(Classical Techniques)
Instructor: Daryl L. Santos
Binghamton University
1
Overview
This lecture covers procedures for finding:

Roots of equations

Maxima/Minima value of e