TEAM 14ModellingDepok Town Square’s Parking System

THE MEMBER

Aris Muzaqi (1306370171)Denny Kurniawan (1306370215)Edwin Satya W. (1406642776)Hutama Dwantara (1306448054)

Nurfitriana Tri Utami (1306393105)Octika Adinda Putri (1306446686)Sayidul Fikri (1306370013)

OUTLINEProblemDefinition

ModelConceptualizationData  Collection  

&  Analysis  Model  Construction

Validation  &  Verification Conclusion

1 ProblemDefinition

What : AntrianWhere : Depok Town

Square, Margonda

When : Peak hourWho : Motorcycle userWhy/How : Keterbatasfasilitas

Antrian pada Peak-hour yang dialamipara pengendara motor di Depok Town

Square yang disebabkan karenaketerbatasan fasilitas

2 ModelConceptualization

FLOW CHART

3 Data GatheringAnd Analysis

Data needed

Arrivalrate

ServiceTime

Searchingtime

Our peak-hour assumption : on Saturday @ 13.00 – 19.00

PROVEN!!4604 on Saturday

Arrival  Rate  DistributionLocation :  DETOS  Parking  AreaDate :  Saturday,  26-­‐09-­‐2015

A Few of Service Time Data

Service  Time  and  Service  Rate

Service Rate : 7 motor per minuteWith standard deviation : 2.2

Service  Time  Distribution

Average Searching Time Per Block

Parking AreaLength : 90 mWidth : 30 mCapacity : 1100 motor

Parking Time

ModelConstruction4 ARRIVALS

ModelConstruction4 ENTITIES

ModelConstruction4 LOCATION

ModelConstruction4 PROCESSING

5Validation and

Verification

Spreadsheet Validation

VS.From Spreadsheet

Lq = 5.14Wq = 0.86

From ProModel

Lq = 5.14Wq = 0.86

MATCH!

VERSUS

5Validation and

Verification

Running Traces

The Tracing process is

successfully ran

5Validation and

Verification

Sensitivity Analysis

The service time increased by 8,5 (previous = 8,27)

secondThen, the Average

number of customers in the queue is

increased to by 6,53 (previous = 5.14)

So, by the changes of the variable, it

changes the amount of the data to

This makes it a valid model

5Validation and

Verification

Extreme Condition Test (Minimal condition)

0 Arrivals = 0 data from the model

VALID

5Validation and

Verification

Extreme Condition Test (Maximum condition)

Arrival frequency = p(1) sec

The model still ran fully

VALID

5Validation and

Verification

Verification (using Debug)

6 Conclusion1. The peak time of the mall’s customer arrival is on Saturday,

at 13.00 until 19.00 based on expert judgement and Historical Data from the parking vendor

2. Arrival Rate = 6 Motor/minuteService Time = 8,27 second

3. The average time of the queue is 0,86 Minute at the peak time

4. The length of the queue is 5 motorcycle/minute

The capacity of the parking lot is optimal and does not need improvements (assuming the service time standard is 1

minute/motor and searching time is 2 minutes) based on the data we collected, our data is below those standards

The parking counter machine is also optimal and does not need improvements. Because the automatic machine that works simultaneously and the amount of server is enough based on the model that producing the small amount of

queue number

THANK YOU!