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!