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University Admissions Application Processing Using Computer Simulation to Evaluate Alternatives Héctor López Hani Aburas Julia Pet-Armacost, PhD University of Central Florida

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University Admissions Application Processing

Using Computer Simulation to Evaluate Alternatives

Héctor LópezHani Aburas

Julia Pet-Armacost, PhD

University of Central Florida

November 6, 2001 University of Central Florida 2

Content

Objectives of studyBackgroundCurrent systemProposed systemSimulation modelResultsConclusion

November 6, 2001 University of Central Florida 3

Objective

To evaluate the potential impact of an alternative tool for processing admissions applications at a major metropolitan research university:

Document Imaging System, “an electronic copy” of a document

applications, transcripts, test scores, and letters

November 6, 2001 University of Central Florida 4

Background

The Operational Excellence and Assessment Support office conducted a process analysis of the admission operations in the Undergraduate Admissions OfficeUndergraduate Admissions wanted to know the potential impact of a document imaging system on processing admission applications Part of a larger study to identify improvement opportunities

November 6, 2001 University of Central Florida 5

Background (continued)

The scanned image of the admissions documents would substitute physical documents, thus minimizing the handling, move, and wait times during processing admission applicationsTo evaluate the potential impact before implementing the system

Computer Simulation Modeling

November 6, 2001 University of Central Florida 6

Process Flowchart of the Current Undergraduate Admissions Operation

GPACalculationFreshmen?

Counselor, Review/Decision

TSR

Application

Yes

No

Transfer?

Yes

File

Open,Classify andLogApplications

Matchapplicationwith scoresandtrascripts

Codingandbuilding ofrecord

Key-in(PeopleSoft)

Acknowle-dgement

Batch Batch Batch BatchBatch

Batc

h

NoFile

File

November 6, 2001 University of Central Florida 7

Key Elements of Current Admissions Operation

Peak daily volume of 350 applications Approximately seven steps in the processBatch processing is used between steps where batches are held overnightProcessing time per application: 12-15 minutes (best case) to 2 hours (worst case)Minimum completion time for an application is 7-8 days due to batching

November 6, 2001 University of Central Florida 8

Key Elements of Current System (continued)

In order to work on the application, the physical record is necessary in every step of the process Physical record is moved from cubicle to cubicle and between two different floorsAnswering applicant inquiries can be, on occasion, difficult

need to have physical record

November 6, 2001 University of Central Florida 9

Process Flowchart of the Proposed System

GPACalculationFreshmen?

Counselor, Review/Decision

TSR

Application

Yes

No

Transfer?

Yes

File

Open,Classifyand LogApplications

ScanningandIndexing

Building ofrecord

Key-in(PeopleSoft)

VerificationAcknowledgement

Matchapplicationwith scoresandtrascripts

Automaticallyby the system

Automaticallyby the system

New Operation

Manual operationin current system

November 6, 2001 University of Central Florida 10

Current vs. Proposed System-Key Differences

Workflow Physical record movement in current system versus “electronic workflow” in proposed systemImpact:

Move time between operations is reduced to zeroWait time due to lot sizing is minimizedApplication is available in following step almost immediately

November 6, 2001 University of Central Florida 11

Current vs. Proposed Systems-Key Differences, continued

Building process of physical recordManual within the current process versus automated within the proposed systemImpact: Reduction in lead time

Customer servicePhysical record may be required in current system versus all information available on-line in proposed system

November 6, 2001 University of Central Florida 12

Model – Computer Simulation

Software: Arena®Three models

Current systemProposed system – document imaging

Customer service includedCustomer service removed

November 6, 2001 University of Central Florida 13

Data Collection and Model Construction

Process flowInterviews and discussion with ~ 15 employees

Over 1,500 time and process observationsNew task (scanning of documents) in proposed system was based on observations of a similar operation in Graduate Admissions using an imaging system

November 6, 2001 University of Central Florida 14

Processes and Probability Distributions

A_ Op e n _ Ma i l S e i z e De l a y Re l e a s e Va l u e Ad d e d ERLA( . 1 7 7 , 2 )F _ Ke y I n S e i z e De l a y Re l e a s e Va l u e Ad d e d F i l e Mg r P r o c e s s i n gJ _ Co u n s e l o r _ Re v i e w S e i z e De l a y Re l e a s e Va l u e Ad d e d P r o c e s s Ti meH_ GP A_ P i n k _ S h e e t S e i z e De l a y Re l e a s e Va l u e Ad d e d LOGN( . 6 8 9 , . 3 8 6 )I _ GP A_ Ke y _ I n S e i z e De l a y Re l e a s e Va l u e Ad d e d LOGN( . 7 6 , . 3 1 4 )L_ TS R S e i z e De l a y Re l e a s e Va l u e Ad d e d UNI F ( 1 1 , 3 0 )K_ Ke y _ I n _ De c i s i o n S e i z e De l a y Re l e a s e Va l u e Ad d e d TRI A( 0 . 6 , 0 . 7 4 , 2 )B_ Lo g _ I n S e i z e De l a y Re l e a s e Va l u e Ad d e d . 2 3 + LOGN( . 2 1 3 , . 1 3 5 )C_ Ma t c h Do c u me n t s S e i z e De l a y Re l e a s e Va l u e Ad d e d . 2 4 + . 9 7 * BETA( 2 . 3 3 , 3 . 2 9 )D_ Co d i n g S e i z e De l a y Re l e a s e Va l u e Ad d e d 0 . 2 3 + l o g n ( 1 . 1 , . 7 9 )E_ Bu i l d _ Re c o r d S e i z e De l a y Re l e a s e Va l u e Ad d e d 0 . 1 9 + we i b ( 1 . 6 , 2 . 3 9 )De l a y GP A_ Co u n s e l o r De l a y No n - Va l u e Ad d e d 1De l a y Co u n s e l o r _ F Mg r De l a y No n - Va l u e Ad d e d 1De l a y Ma i l r o o m_ Ba t e s De l a y No n - Va l u e Ad d e d 1De l a y Ba t e s _ F Mg r De l a y No n - Va l u e Ad d e d 1G_ Ve r i f i c a t i o n Ac k n o wl e d S e i z e De l a y Re l e a s e Va l u e Ad d e d 1

November 6, 2001 University of Central Florida 15

Arena® Model – Current System

A _ O p e n _ M a il

F _ K e y I n

C h e c k in g

S t u d e n t C la s s = = 1S t u d e n t C la s s = = 2

E ls e

J _ C o u n s e lo r _ Re v ie w

H_ G P A _ P in k _ S h e e t I _ G P A _ K e y _ I n

H ig h S c h o o l s t u d e n t ?

S t u d e n t C la s s = = 1

E ls e

L _ T S R

O u t

A pp lic a t io n sI nc o m in g

C la s s if ic a t io nS t u d e n t

A s s ig n in g C o u n s e lo r T im e

S t u d e n t C la s s = = 1

S t u d e n t C la s s = = 2E ls e

H S C o u n s T im e

L T C o u n s T im e

H T C o u n s T im e

No t E n o u g h I n f o

c a llsCh e c k in g t o d is p o s e

T r u e

F a ls e

D is p o s e d D is p o s e Ca ll

H o ld _ A p p _ n o _ f e e

Calls

I nc o m in g P h o neC la s s if ic a t io n

A s s ig n 1 0

I s F e e in c lu d e d ?

T r u e

F a ls e

o u t d a t a

A p p lic a t io n t im e

A p p lic a t io nHa r d C o p y

H a r d Co p y v s O n L in e

T r u e

F a ls e

K _ K e y _ I n _ D e c is io n

A p p lic a t io nO n L in e

H a r d C o p y v s O n L in eT ru e

F a ls e

B _ L o g _ I n

D o c u m e n t sC _ M a t c h D _ C o d in g

E _ B u ild _ Re c o r d

D o c u m e n t s m a t c h e d ?

T r u e

F als e

K e y inB a t c h B a t e s t o

S e p a r a t e 2

G P A _ Co u n s e lo rD e la y

C o u n s e lo r _ F M g rD e la y

M a ilr o o m _ B a t e sDe la y

B a t e s _ F M g rDe la y

A c k n o w le d g e m e n tG _ V e r if ic a t io n

Doc u m e n tsnc o m in g S u p po r t

D o c u m e n tS u p p o r t in g D o c u m e n t ?

T r u e

F a ls e

Do c u m e n t s

S u p p o r t in gD is p o s e

Current

S e p a r a t e 3

C o u n s e lo rV e r if ic a t io n a n d

K y in t oM a t c h in g

M a ilr o o m t oS e p a r a t e 5

C o d in gM a t c h in g t o

S e p a r a t e 6

B u ild in gCo d in g t o S e p a r a t e 7

0

0

0

0 0

0

0

0

0

00 0

0

00

0

0

0

0 0

0 0

0

0 0 0

0

0

0 0

0

0

0

0

0

00

0

0 0

0

0

0

0

0

November 6, 2001 University of Central Florida 16

Arena® Model – Proposed System

Do c u m e n tn c o m in g Su p p o r t in g

Do c u m e n tSu p p o r t in g

Ap p lic a t io nI n c o m in g Pa p e r o r O n L in e

T r u e

F a ls e

Ha r d Co p y

O n L in e

Cla s s if ic a t io nSt u d e n t

As s ig n in g Co u n s e lo r T im e

S t u d e n t C la s s = = 1S t u d e n t C la s s = = 2

E ls e

HSCo u n s T im e

L T Co u n s T im e

HT Co u n s T im e

A_ O p e n M a il

Ha r d Co p y v s O n L in e

T r u e

F a ls eI s F e e in c lu d e d ?

T r u e

F a ls e

Ha r d _ VS_ O n lin e

T r u e

F a ls e

Ap p o r Do c u m e n tT r u e

F a ls e

Ho ld _ Ap p _ n o _ f e e

B_ Sc a n n in g C_ I n d e x in g

Z _ Bu ild Re c o r d

Co p yO r ig in a l Ha r d

Se p a r a t e

Du p lic a t eDis p o s e

Bu ild Re c o r dDu p lic a t e t o

O r ig in a l

D u p lic a t e

Ba t c hDu p lic a t e d

Se p a r a t e

D_ Ke y I nI n c o m in g Ca ll Cla s s if ic a t io n Ch e c k in g _ t o _ d is p o s e _ c a llsT r u e

F a ls e

Dis p o s e d Dis p o s e Ca ll

Re v ie wG _ Co u n s e lo r

Sh e e tE_ G PA_ Pin k F _ G PA_ Ke y I n

I n _ De c is io nH_ Ke y

High Sc h o o l s t u d en t ?

S t u d e n t C la s s = = 1

E ls e

O u t

I _ T SR As s ig n 1 2

o u t d a t a

Ap p lic a t io n t im e

Dis p o s e _ No F e e

Ch e c k in g

S t u d e n t C la s s = = 1S t u d e n t C la s s = = 2

E ls e

En o u g h I n f o r m a t io n ?T r u e

F a ls e

Proposed, Scenario 1

0

0 0

0

0

0

00

0

0

0

0

0 0 0

0

0

0

0

0

0

00

0

00

0

0 0

0

0

00

0

0

November 6, 2001 University of Central Florida 17

Running the Simulation

ReplicationsNumber: 3Length: 15 days (@ 9 hours, 7.5 + breaks)Applications: 5,250 / replication

ScenariosCurrentProposed 1– document imaging systemProposed 2 – document imaging + customer service reps. With re-distribution of resources

November 6, 2001 University of Central Florida 18

Sample Results, Total Output and Lead Time

1.6262.5250.6478Total lead time/application (hours)

3142,6551732,665571,273Total Output(Applications)

95% Interval

Half WidthAverage

95% Interval

Half Width

Average

95% Interval

Half Width

AverageStatistic

Proposed,Scenario 2

Proposed,Scenario 1

CurrentModel

November 6, 2001 University of Central Florida 19

Sample Results, Utilization of Resources

Proposed 2Proposed 1Current

314N/AN/AN/AN/ACustomer Service Reps.

299598330TSR Managers

462260220Counselors

530128011GPA Calculation

N/AN/AN/AN/A06Verification/Acknowledgement

642432315File Managers (9 in current and proposed 1, 6 in proposed 2)

N/AN/AN/AN/A190Bates/Coding/Build

096096082Mailroom

Half Width

Average (%)

Half Width

Average (%)Half WidthAverage

(%)Work Center

November 6, 2001 University of Central Florida 20

Sample Results, What if Analysis

Change in Scheduled UtilizationRedistribution of ResourcesProposed 1

989886TSR Managers

876266Counselors

762812GPA Calculation

N/AN/AN/AN/AVerification/Acknowledgement

653269File Managers (9 in current and proposed 1, 6 in proposed 2)

N/AN/AN/AN/ABates/Coding/Build

959653Mailroom

ToFromToFromWork Center

November 6, 2001 University of Central Florida 21

Conclusion

Simulation has proven to be a useful tool in understanding the potential implications of system prior to its implementation The simulation indicates that imaging system improves the turn around time of admission application processingSimulation is a useful OR tool in higher education