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IE 372 Simulation - Handout 1
INTRODUCTION TO SIMULATION Simulation Simulation refers to a broad collection of methods and applications to mimic the behavior of real systems usually on a computer with appropriate software. Simulation is the process of F
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IE 372 Simulation
Quiz 3
Spring 2014
Consider a bus station at Eryaman. There are two types of busses arriving at this station; one of
them goes directly to Bahelievler and the other goes to Kzlay. In every 20 minutes a Bahelievle
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IE 372 Simulation
Quiz 3
Spring 2012
Consider a small specialty restaurant with 10 tables each having 4 seats. Customers arrive in parties
(groups) which can contain 1 to 4 people with equal probability. Interarrival times of part
IE 372 Simulation
Makeup Quiz
Spring 2002
Consider a two stage serial production system. Jobs arrive at the system exponentially
with a mean interarrival time of 90 minutes. Upon arrival, each job is assigned a due
date that is distributed uniformly betwe
IE 372 Simulation Spring 2016 Homework Assignment 3
Meaning/purpose of Each:
Attributes
Kit Type: Type of electronic component kit are represented. It can take value of 1 and 2.
Arrival Time: For each entity (kit), it is used to record the time that entit
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IE 372 Simulation - Handout 7
SIMULATION OUTPUT ANALYSIS (Law & Kelton) When some simulation input parameters are random variables, simulation outputs are also random variables. Therefore, we need to statistically analyze the simulation results. It is n
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IE 372 Simulation - Handout 6
RANDOM NUMBER AND RANDOM VARIATE GENERATION (Law & Kelton) General Idea Let X be a continuous random variable with probability density function f ( x) and cumulative distribution function F ( x) , i.e. P ( X x) = F ( x) .
F
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IE 372 Simulation - Handout 5
ADDITIONAL SIMAN CAPABILITIES Blocks and elements discussed so far constitute about 20% of SIMAN constructs, but over 50% of modeling requirements can be met with these. For the rest, we need to learn additional constructs.
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IE 372 Simulation - Handout 4
SELECTING INPUT PROBABILITY DISTRIBUTIONS (Law & Kelton) For simulating a real life system, we need to estimate the probability distribution of an input random variable using past data, if any. We have two options: 1. Fit a
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IE 372 Simulation - Handout 3
VERIFICATION AND VALIDATION (Law & Kelton)
Establish credibility
Validation Establish credibility
Verification
Validation
System Analysis and data collection
Conceptual model
Coding
Simulation program
Making runs
Correct re
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IE 372 Simulation - Handout 2
INTRODUCTION TO ARENA AND SIMAN About Simulation Languages Common features of simulation languages Random number (RN) and random variate (RV) generation Managing event list, calling necessary routines depending on the type
IE 372 Simulation
Quiz 3
Spring 2006
A sewing shop produces shirts of two colours, red and green. In the shop, two parts of
a shirt (main body and sleeves) are first processed individually and then assembled.
Parts of a shirt arrive together as a batch. I