INFORMS TMS2006 Simulation

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INFORMS Teaching ofINFORMS Teaching of

Management ScienceManagement ScienceWorkshopWorkshop

Teaching SimulationTeaching Simulation

Andy Seila University ofAndy Seila University ofGeorgiaGeorgia


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About MeAbout Me

Training: OR (not business)Training: OR (not business)

Simulation oursesSimulation ourses

Undergrad! "#A! "asters in "S! $h%Undergrad! "#A! "asters in "S! $h%

&ull courses&ull courses

"odule in "an' Science course"odule in "an' Science course

Single lecture in secialied courseSingle lecture in secialied course


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About YouAbout You

*n +hat tye of rogram do you*n +hat tye of rogram do you

teach,teach,

#usiness#usiness

*ndustrial -ngineering*ndustrial -ngineering

OROR

"ath"ath OtherOther


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About Your SimulationAbout Your Simulation

CourseCourse *n +hat degree rogram is your*n +hat degree rogram is your

simulation course taught,simulation course taught,

UndergradUndergrad

"#A"#A

"S or "A or secialied masters"S or "A or secialied masters

$h%$h% OtherOther


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CourseCourse .hat is the length of your.hat is the length of your

simulation course,simulation course,

&ull Semester&ull Semester

Several +ee/sSeveral +ee/s

One or t+o +ee/sOne or t+o +ee/s

One or t+o classesOne or t+o classes OtherOther


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About Your StuentsAbout Your Stuents

.hat is the robability and.hat is the robability andstatistics bac/ground of yourstatistics bac/ground of your

students,students, $rob' and stat! multile courses$rob' and stat! multile courses

$rob' and stat! one course each$rob' and stat! one course each

$rob'! no stat$rob'! no stat

Stat! no rob'Stat! no rob'

0one0one

OtherOther


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What is simulation!What is simulation!

.or/ in a grou of 1 or 2! and +rite.or/ in a grou of 1 or 2! and +rite

do+n a de3nition or descrition ofdo+n a de3nition or descrition of

simulation'simulation'


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What is simulation!What is simulation!

Simulation: A samling e4erimentSimulation: A samling e4eriment

done on a (digital) comuter'done on a (digital) comuter'

5as a (stochastic) model'5as a (stochastic) model'

Re6uires data analysis'Re6uires data analysis'


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Anal"sis of an O#ceAnal"sis of an O#ce

$uiling %ro&ect$uiling %ro&ectGoal: sensitivity analysisGoal: sensitivity analysis

.hat do +e +ant the students to.hat do +e +ant the students to

learn from this e4amle,learn from this e4amle,


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CourseCourse $rimary goal$rimary goal

7iteracy7iteracy

#uild simle models#uild simle models

%evelo modeling and roblem%evelo modeling and roblem

solving s/illssolving s/ills

7earn simulation methodology7earn simulation methodology OtherOther


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CourseCourse Soft+are usedSoft+are used

SreadsheetSreadsheet .ith 8R*S9 or rystal #all,.ith 8R*S9 or rystal #all, .ith some other addin,.ith some other addin,

;ust the sreadsheet,;ust the sreadsheet,

%iscrete event simulation ac/age%iscrete event simulation ac/ageli/e Arenali/e Arena

OtherOther


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%optools%optools

&ree set of sreadsheet tools&ree set of sreadsheet tools

Random variate generationRandom variate generation htt:


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A Stochastic MoelA Stochastic Moel

MODEL

Parameters

Decisions

Random

Variates

Outputs


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An '(ample ) 'O*An '(ample ) 'O*

MoelMoelThis e4amle sho+s all arts of the modeling!This e4amle sho+s all arts of the modeling!

analysis and decision ma/ing rocesses'analysis and decision ma/ing rocesses'

ost = ost = ee>(suly demand) if suly ? demand>(suly demand) if suly ? demand = = ss>(demand suly)>(demand suly) if suly @=if suly @=demanddemand

%emand -rlang(B! 1)%emand -rlang(B! 1).hat is mean cost! given the order 6uantity,.hat is mean cost! given the order 6uantity,

"odel has a solution: &(C)=s


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Simulation+ TopicsSimulation+ Topics

"odels and modeling"odels and modeling 5o+ to create and imlement a model'5o+ to create and imlement a model'

Random variates and random henomenaRandom variates and random henomena

oncets and samling methods'oncets and samling methods' SimulationSimulation

5o+ to samle the behavior of the system and do5o+ to samle the behavior of the system and dorelications'relications'

Outut data analysisOutut data analysis 5o+ to estimate erformance measures from outut5o+ to estimate erformance measures from outut

data'data'

%ecision ma/ing%ecision ma/ing Using the estimates to choose decisions'Using the estimates to choose decisions'


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Simulation , TopicsSimulation , Topics

Other toics:Other toics:

*nut data analysis*nut data analysis

&inancial models&inancial models

%eendent rocesses (6ueu%eendent rocesses (6ueueeing!ing!

inventory! etc')inventory! etc')

%iscrete event simulation%iscrete event simulation


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Another '(ample )Another '(ample )

*ueueing Moel*ueueing MoelThis model sho+s ho+ to simulateThis model sho+s ho+ to simulate

a random rocess'a random rocess'


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-iscussion *uestions-iscussion *uestions

Are students reared to ta/e theAre students reared to ta/e the

simulation course,simulation course,

.hat bac/ground toics should.hat bac/ground toics shouldyou cover early in the course,you cover early in the course,


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-iscussion *uestions-iscussion *uestions

.hat is the best order of.hat is the best order of

resentation,resentation,

over each techni6ue! then utover each techni6ue! then utthem together,them together,

;um into an alication! then;um into an alication! then

bac/u and cover the methodology,bac/u and cover the methodology,


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Acti.e /earningActi.e /earning

5o+ can +e incororate active5o+ can +e incororate active

learning in the class,learning in the class,

.hat tyes of e4ercises can be.hat tyes of e4ercises can beused,used,

Students have a sreadsheetStudents have a sreadsheet

.e donEt have a +ay to sho+ each.e donEt have a +ay to sho+ eachstudentEs +or/ to the classstudentEs +or/ to the class

Google sreadsheets,Google sreadsheets,


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Thank "ou0Thank "ou0

seila8uga'eduseila8uga'edu

+++'terry'uga'edu

INFORMS TMS2006 Simulation

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