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MOTORCYCLE PARKING SYSTEM
P CENTRAL PARK MALL JAKARTA
1 2 3 4 5 6
ASTARI WULANDARI
DEA INDRIYANI
DYASRENNY TIARA PUTRI THERESSA DEVINA
ANGGITA LARASATI KENT SOLID
THE PROJECT TEAM
OUTLINE
1
2
3
4
5
6
7
PROBLEM
DEFINITION
CONSEPTUALIZATION
MODEL
DATA
GATHERING
MODEL
CONSTRUCTION
VERIFICATION
VALIDATION
CONCLUSION
P
PROBLEM DEFINITION
Biggest	
  Mall	
  in	
  West	
  Jakarta
Including	
  shopping	
   mall,	
  office	
  tower,	
  and	
  hotel	
  developed	
  by	
  Podomoro	
   Group
Biggest Mall
West Jakarta
Has reached
visitors each month
(source: marketing.co.id)
2.9
million
Shopping Mall
Office
Apartments & Hotels
PROBLEM DEFINITION
Can be reached by
Car
Motorcycle
Public transportation
CAR PARKING
MOTORCYCLE
PARKING
} }
CURRENT CONDITION
PROBLEM DEFINITION
MOTORCYCLE PARKING AREA
2 FLOOR: B1 & B2
GATE IN : 2
1 LINE 2 SERVER
GATE OUT : 3
1 LINE 3 SERVER
PROBLEM DEFINITION
WHAT
PROBLEM DEFINITION
WHERE
WHEN
WHO
WHY
Queuing System
Central Park Mall
Saturday
Visitor of Central Park Mall
Massive number of visitors
PROBLEM STATEMENT
Massive number of visitors in Central Park mall on
weekend (especially on Saturday) led to queueing in the
system. If queue happens more than 1 minute and time for
motorcycle to search parking more than 2 minutes, it will
decrease customer satisfaction so that it will cause
opportunity loss to Central Park Mall.
MODEL CONCEPTUALIZATION
MODEL CONCEPTUALIZATION
FLOW CHART
DATA GATHERING
SOURCE OF DATA
Credible Expert
Opinion
Personal Observation
COLLECTION OF DATA
Queuing time
DATA GATHERING
Peak hour Capacity Searching time Arrival Time
Service Time Counter Duration of parking
P
1 2
RAW DATA & PROCESSING
DATA GATHERING
Peak hour
0
100
200
300
400
500
11.10-­‐12.0912.10-­‐13.0913.10-­‐14.0914.09-­‐15.0915.10-­‐16.0916.10-­‐17.0917.10-­‐18.0918.09-­‐19.1019.10-­‐20.1021.10-­‐22.10
Motorcycle	
  Arrival/Hour
Peak hour
• 13.10-14.10
• 14.10-15.10
• 15.10-16.10
• 16.10-17.10
• 17.20-18.20
• 18.20-19.20
RAW DATA & PROCESSING
DATA GATHERING
Capacity
(492) in Basement 1
(603) in Basement 2
RAW DATA & PROCESSING
DATA GATHERING
Searching time
Lantai 1
Mean 41.97
Std. 18.559
RAW DATA & PROCESSING
DATA GATHERING
Searching time
Lantai 2
Mean 81.1
Std. 15.7
RAW DATA & PROCESSING
DATA GATHERING
Duration of parking
0
5
10
15
20
25
30
35
40
30 60 90 120 150 180 210 240 270 300 330 390 420
Frequency
Minutes
Duration	
  of	
  Parking	
  Time
Mean
Std.
RAW DATA & PROCESSING
DATA GATHERING
Queuing timeArrival Time Service Time Counter
Observer 2
(observe the server)
Observer 1
(observer arrival)
Interarrival
rate
Arrival Time
Service
time
Arrival time in
server
RAW DATA & PROCESSING
DATA GATHERING
Queuing timeArrival Time Service Time Counter
Kedatang
an Ke-
Inter
Arrival Waktu kedatangan Server Waktu sampai depan loket
Service
Time Waktu keluar loket
Waktu
Antrian Antrian/Tidak
Detik Jam Menit Detik Jam Menit Detik Detik Jam Menit Detik Detik
1 3 13 10 3 1 13 10 4 5 13 10 9 1 Tidak antri
2 9 13 10 12 1 13 10 13 4 13 10 17 1 Tidak antri
3 1 13 10 13 1 13 10 18 6 13 10 24 5 Antri
4 23 13 10 36 1 13 10 37 5 13 10 42 1 Tidak antri
5 34 13 11 10 1 13 11 12 8 13 11 20 2 Tidak antri
6 12 13 11 22 2 13 11 23 4 13 11 27 1 Tidak antri
7 20 13 11 42 1 13 11 43 6 13 11 49 1 Tidak antri
8 15 13 11 57 1 13 11 58 9 13 12 7 1 Tidak antri
9 21 13 12 18 1 13 12 19 10 13 12 29 1 Tidak antri
10 18 13 12 36 1 13 12 37 4 13 12 41 1 Tidak antri
11 13 13 12 49 1 13 12 50 5 13 12 55 1 Tidak antri
12 18 13 13 7 1 13 13 8 8 13 13 16 1 Tidak antri
13 6 13 13 13 1 13 13 15 4 13 13 19 2 Tidak antri
14 8 13 13 21 1 13 13 22 17 13 13 39 1 Tidak antri
15 9 13 13 30 1 13 13 41 9 13 13 50 11 Antri
16 5 13 13 35 2 13 13 50 4 13 13 54 15 Antri
17 15 13 13 50 1 13 13 52 5 13 13 57 2 Tidak antri
18 13 13 14 3 1 13 14 4 6 13 14 10 1 Tidak antri
19 3 13 14 6 2 13 14 8 5 13 14 13 2 Tidak antri
20 6 13 14 12 1 13 14 13 7 13 14 20 1 Tidak antri
RAW DATA & PROCESSING
DATA GATHERING
Arrival Rate
RAW DATA & PROCESSING
DATA GATHERING
Inter-Arrival Time
RAW DATA & PROCESSING
DATA GATHERING
Service Time Counter 1
RAW DATA & PROCESSING
DATA GATHERING
Queuing time
2.899
1.555
2.578 2.679 2.851
1.752
0
1
2
3
4
13.10-­‐14.09 14.10.15.09 15.10-­‐16.09 16.10-­‐17.09 17.10-­‐18.09 18.09-­‐19.09
Average	
  of	
  Queuing	
  Time
SYSTEM DOCUMENTATION
DATA GATHERING
1 2 3
4 5 6
MODEL CONSTRUCTION
DATA GATHERING
STEPS
1
2
3
4
BUILD	
  
LOCATION
ENTITIES
ARRIVALS
PROCESS
MODEL CONSTRUCTION
DATA GATHERING
LOCATION
MODEL CONSTRUCTION
DATA GATHERING
ENTITIES
ARRIVALS
MODEL CONSTRUCTION
DATA GATHERING
PROCESS
MODEL CONSTRUCTION
DATA GATHERING
PROCESS
MODEL CONSTRUCTION
MODEL CONSTRUCTION
FINISHED MODEL
VALIDATION
01
Watching
Animation
02
Comparing with
other models
03
Comparing with
actual system
04
Conducting degeneracy
and extreme condition
05
Performing
sensitivity analysis
VALIDATION
WATCHING ANIMATION
VALIDATION
CLICK
COMPARING WITH SPREADSHEET MODEL
VALIDATION
Spreadsheet Model
Pro
Model
Average server utilization (ρ) 0.2875 0.24
Average number of
customers in the queue (Lq)
0.0518 0.14
Average number of
customers in the system (Ls)
0.6268 0.61
Average waiting time in the
queue (Wq)
0.0002 0.018021 (minutes) 0.03
Average time in system (Ws) 0.0018 0.218021 (minutes) 0.22
Probability (% of time)
system is empty (P0)
55% 85%
Arrival rate during peak
time 345
motorcycle/hour
Average service time
during peak time 6
seconds
OBSERVATION
Saturday, 26-09-2015
11.10 am to 9.20 pm
268
259
289
383
268268
COMPARING WITH ACTUAL SYSTEM
VALIDATION
Visitors will first fulfill parking area block
which near the mall entrance
Visitors will only go to P2 if only P1
capacity is full. P2 will be open when P1
capacity almost full
Visitors tend to take Server 1 rather than
Server 2 (First Available)
If visitors didn’t find parking at P2, they will
look again the available area at P1
Actual Model
How? We create dummy process from P2
to P1 for motorcycle who didn’t get
parking at P2
CONDUCTING DEGENERACY & EXTREME CONDITION
VALIDATION
EXTREME TEST
Arrival Rate: 0
CONDUCTING DEGENERACY & EXTREME CONDITION
VALIDATION
EXTREME TEST
Arrival Rate: 0
CONDUCTING DEGENERACY & EXTREME CONDITION
VALIDATION
EXTREME TEST
Arrival Rate: Maximum
CONDUCTING DEGENERACY & EXTREME CONDITION
VALIDATION
EXTREME TEST
Arrival Rate: Maximum
SENSITIVITY TEST
VALIDATION
SENSITIVITY TEST
VALIDATION
SENSITIVITY TEST
VALIDATION
SENSITIVITY TEST
VALIDATION
VERIFICATION
TRACE
VERIFICATION
OUTPUT ANALYSIS
OUTPUT ANALYSIS
OUTPUT ANALYSIS
WHAT TO WATCH?
Incoming/Outcoming Entities
Average time in queue (Wq) and in system (Ws)
Average number of entities in queue (Lq) and in system (Ls)
Utilization of queueing system
VERIFICATION
Total Input
1780 unit in 6 hour
Single Line Multiserver
Total Output
1202 unit
Incoming/outcoming entities
OUTPUT ANALYSIS
VERIFICATION
LOCATION STATES
MULTI
OUTPUT ANALYSIS
VERIFICATION
LOCATION STATES
SINGLE
OUTPUT ANALYSIS
VERIFICATION
ENTITTY ACTIVITY
AND STATES
OUTPUT ANALYSIS
Wq = 0.03 min
Ws for Server 1 = 0.12 min
Ws for Server 2 = 0.13 min
They are within limits required from this assignment (1 min)
Therefor no additional server is needed for now
VERIFICATIONOUTPUT ANALYSIS
Average Time in Queue and Ticketing System
Lq = 0.15 entities
Ls for Server 1 & 2 = 0.62 entities
These number are similar with our Spreadsheet model
Average Number of Entities in Queue and System
VERIFICATIONOUTPUT ANALYSIS
Utilization of Queueing System
Server 1 utilization = 33%
Server 2 utilization = 14%
Their average are similar with our spreadsheet model
The server is under utilized even at peak time
Entity Activity
Average Time in system = 92.86 min
Average time in waiting = 0.03 min
Average time blocked = 0.92 min
Entity	
  Activity
Operation Waiting
Blocked
VERIFICATIONOUTPUT ANALYSIS
Utilization of Parking Space
Average time to search parking space
16 out of our parking space are utilized, 8 are continuously empty
Average of empty parking space = 31.8%
Average of full parking space = 28%
Average # of entities in parking space system = 432 unit per hour
There are overcapacity in Central Park parking system
Average time = 1.69 min
There are 6 locations where searching for parking space takes longer
than 2 minutes (B1 area 2, 4, 5, and 6). We aim to reduce that to less
than 2 minutes.
There are several options: increasing parking space, better routing and
capacity management
CONCLUSION
CONCLUSION
CONCLUSION
Peak time in Central Park
happens on
Saturday
at
13.10-20.20
Average
arrival rate in
Central Park is
345
motorcycles/
hour
Average
service time on
server 1 is 5,7 s
and on
server 2 is 5,8 s
Queueing time in lockets is
under 1 minute
and
searching time average is
under 2 minutes,
So, the parking system on
Central Park is optimal.
The problem that happens in Central
Park is mostly because of
breakdown in server.
So, queue only happen when the
server is breakdown.
RECOMENDATION
RECOMENDATION
RECOMENDATION
The problem that happens in Central
Park is mostly because of
breakdown in server.
So, queue only happen when the
server is breakdown.
Better maintanance program for each server machine
Increase parking space
Better routing and capacity management
RECOMENDATION
RECOMENDATION
Increasing Parking Space
Basement 1 location 2 = From 10 to 50 parking spaces
Basement 1 location 4 = From 38 to 45 parking spaces
Basement 1 location 6 = From 38 to 50 parking spaces
Total Increase of parking space = 62
Average time to search parking space = 1.16 min
No more spending over 2 minutes to
search a parking space!
Constraint : Limited Space to Expand
RECOMENDATION
RECOMENDATION
Better Routing and
Capacity Management
Since there are 8 parking location that is continuously
empty, managementcan start routing entities there,
when queue start to form
Management can also partly closed several parking
locations on B1 to route entities to search for parking
space at B2
THANKYOU

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Contoh Desain Slide Presentasi Ilmiah Kreatif dan Menarik #1

  • 1. MOTORCYCLE PARKING SYSTEM P CENTRAL PARK MALL JAKARTA
  • 2. 1 2 3 4 5 6 ASTARI WULANDARI DEA INDRIYANI DYASRENNY TIARA PUTRI THERESSA DEVINA ANGGITA LARASATI KENT SOLID THE PROJECT TEAM
  • 5. Biggest  Mall  in  West  Jakarta Including  shopping   mall,  office  tower,  and  hotel  developed  by  Podomoro   Group Biggest Mall West Jakarta Has reached visitors each month (source: marketing.co.id) 2.9 million Shopping Mall Office Apartments & Hotels PROBLEM DEFINITION Can be reached by Car Motorcycle Public transportation CAR PARKING MOTORCYCLE PARKING } }
  • 6. CURRENT CONDITION PROBLEM DEFINITION MOTORCYCLE PARKING AREA 2 FLOOR: B1 & B2 GATE IN : 2 1 LINE 2 SERVER GATE OUT : 3 1 LINE 3 SERVER
  • 7. PROBLEM DEFINITION WHAT PROBLEM DEFINITION WHERE WHEN WHO WHY Queuing System Central Park Mall Saturday Visitor of Central Park Mall Massive number of visitors PROBLEM STATEMENT Massive number of visitors in Central Park mall on weekend (especially on Saturday) led to queueing in the system. If queue happens more than 1 minute and time for motorcycle to search parking more than 2 minutes, it will decrease customer satisfaction so that it will cause opportunity loss to Central Park Mall.
  • 11. SOURCE OF DATA Credible Expert Opinion Personal Observation COLLECTION OF DATA Queuing time DATA GATHERING Peak hour Capacity Searching time Arrival Time Service Time Counter Duration of parking P 1 2
  • 12. RAW DATA & PROCESSING DATA GATHERING Peak hour 0 100 200 300 400 500 11.10-­‐12.0912.10-­‐13.0913.10-­‐14.0914.09-­‐15.0915.10-­‐16.0916.10-­‐17.0917.10-­‐18.0918.09-­‐19.1019.10-­‐20.1021.10-­‐22.10 Motorcycle  Arrival/Hour Peak hour • 13.10-14.10 • 14.10-15.10 • 15.10-16.10 • 16.10-17.10 • 17.20-18.20 • 18.20-19.20
  • 13. RAW DATA & PROCESSING DATA GATHERING Capacity (492) in Basement 1 (603) in Basement 2
  • 14. RAW DATA & PROCESSING DATA GATHERING Searching time Lantai 1 Mean 41.97 Std. 18.559
  • 15. RAW DATA & PROCESSING DATA GATHERING Searching time Lantai 2 Mean 81.1 Std. 15.7
  • 16. RAW DATA & PROCESSING DATA GATHERING Duration of parking 0 5 10 15 20 25 30 35 40 30 60 90 120 150 180 210 240 270 300 330 390 420 Frequency Minutes Duration  of  Parking  Time Mean Std.
  • 17. RAW DATA & PROCESSING DATA GATHERING Queuing timeArrival Time Service Time Counter Observer 2 (observe the server) Observer 1 (observer arrival) Interarrival rate Arrival Time Service time Arrival time in server
  • 18. RAW DATA & PROCESSING DATA GATHERING Queuing timeArrival Time Service Time Counter Kedatang an Ke- Inter Arrival Waktu kedatangan Server Waktu sampai depan loket Service Time Waktu keluar loket Waktu Antrian Antrian/Tidak Detik Jam Menit Detik Jam Menit Detik Detik Jam Menit Detik Detik 1 3 13 10 3 1 13 10 4 5 13 10 9 1 Tidak antri 2 9 13 10 12 1 13 10 13 4 13 10 17 1 Tidak antri 3 1 13 10 13 1 13 10 18 6 13 10 24 5 Antri 4 23 13 10 36 1 13 10 37 5 13 10 42 1 Tidak antri 5 34 13 11 10 1 13 11 12 8 13 11 20 2 Tidak antri 6 12 13 11 22 2 13 11 23 4 13 11 27 1 Tidak antri 7 20 13 11 42 1 13 11 43 6 13 11 49 1 Tidak antri 8 15 13 11 57 1 13 11 58 9 13 12 7 1 Tidak antri 9 21 13 12 18 1 13 12 19 10 13 12 29 1 Tidak antri 10 18 13 12 36 1 13 12 37 4 13 12 41 1 Tidak antri 11 13 13 12 49 1 13 12 50 5 13 12 55 1 Tidak antri 12 18 13 13 7 1 13 13 8 8 13 13 16 1 Tidak antri 13 6 13 13 13 1 13 13 15 4 13 13 19 2 Tidak antri 14 8 13 13 21 1 13 13 22 17 13 13 39 1 Tidak antri 15 9 13 13 30 1 13 13 41 9 13 13 50 11 Antri 16 5 13 13 35 2 13 13 50 4 13 13 54 15 Antri 17 15 13 13 50 1 13 13 52 5 13 13 57 2 Tidak antri 18 13 13 14 3 1 13 14 4 6 13 14 10 1 Tidak antri 19 3 13 14 6 2 13 14 8 5 13 14 13 2 Tidak antri 20 6 13 14 12 1 13 14 13 7 13 14 20 1 Tidak antri
  • 19. RAW DATA & PROCESSING DATA GATHERING Arrival Rate
  • 20. RAW DATA & PROCESSING DATA GATHERING Inter-Arrival Time
  • 21. RAW DATA & PROCESSING DATA GATHERING Service Time Counter 1
  • 22. RAW DATA & PROCESSING DATA GATHERING Queuing time 2.899 1.555 2.578 2.679 2.851 1.752 0 1 2 3 4 13.10-­‐14.09 14.10.15.09 15.10-­‐16.09 16.10-­‐17.09 17.10-­‐18.09 18.09-­‐19.09 Average  of  Queuing  Time
  • 32. 01 Watching Animation 02 Comparing with other models 03 Comparing with actual system 04 Conducting degeneracy and extreme condition 05 Performing sensitivity analysis VALIDATION
  • 34. COMPARING WITH SPREADSHEET MODEL VALIDATION Spreadsheet Model Pro Model Average server utilization (ρ) 0.2875 0.24 Average number of customers in the queue (Lq) 0.0518 0.14 Average number of customers in the system (Ls) 0.6268 0.61 Average waiting time in the queue (Wq) 0.0002 0.018021 (minutes) 0.03 Average time in system (Ws) 0.0018 0.218021 (minutes) 0.22 Probability (% of time) system is empty (P0) 55% 85% Arrival rate during peak time 345 motorcycle/hour Average service time during peak time 6 seconds OBSERVATION Saturday, 26-09-2015 11.10 am to 9.20 pm 268 259 289 383 268268
  • 35. COMPARING WITH ACTUAL SYSTEM VALIDATION Visitors will first fulfill parking area block which near the mall entrance Visitors will only go to P2 if only P1 capacity is full. P2 will be open when P1 capacity almost full Visitors tend to take Server 1 rather than Server 2 (First Available) If visitors didn’t find parking at P2, they will look again the available area at P1 Actual Model How? We create dummy process from P2 to P1 for motorcycle who didn’t get parking at P2
  • 36. CONDUCTING DEGENERACY & EXTREME CONDITION VALIDATION EXTREME TEST Arrival Rate: 0
  • 37. CONDUCTING DEGENERACY & EXTREME CONDITION VALIDATION EXTREME TEST Arrival Rate: 0
  • 38. CONDUCTING DEGENERACY & EXTREME CONDITION VALIDATION EXTREME TEST Arrival Rate: Maximum
  • 39. CONDUCTING DEGENERACY & EXTREME CONDITION VALIDATION EXTREME TEST Arrival Rate: Maximum
  • 47. OUTPUT ANALYSIS OUTPUT ANALYSIS WHAT TO WATCH? Incoming/Outcoming Entities Average time in queue (Wq) and in system (Ws) Average number of entities in queue (Lq) and in system (Ls) Utilization of queueing system
  • 48. VERIFICATION Total Input 1780 unit in 6 hour Single Line Multiserver Total Output 1202 unit Incoming/outcoming entities OUTPUT ANALYSIS
  • 52. Wq = 0.03 min Ws for Server 1 = 0.12 min Ws for Server 2 = 0.13 min They are within limits required from this assignment (1 min) Therefor no additional server is needed for now VERIFICATIONOUTPUT ANALYSIS Average Time in Queue and Ticketing System Lq = 0.15 entities Ls for Server 1 & 2 = 0.62 entities These number are similar with our Spreadsheet model Average Number of Entities in Queue and System
  • 53. VERIFICATIONOUTPUT ANALYSIS Utilization of Queueing System Server 1 utilization = 33% Server 2 utilization = 14% Their average are similar with our spreadsheet model The server is under utilized even at peak time Entity Activity Average Time in system = 92.86 min Average time in waiting = 0.03 min Average time blocked = 0.92 min Entity  Activity Operation Waiting Blocked
  • 54. VERIFICATIONOUTPUT ANALYSIS Utilization of Parking Space Average time to search parking space 16 out of our parking space are utilized, 8 are continuously empty Average of empty parking space = 31.8% Average of full parking space = 28% Average # of entities in parking space system = 432 unit per hour There are overcapacity in Central Park parking system Average time = 1.69 min There are 6 locations where searching for parking space takes longer than 2 minutes (B1 area 2, 4, 5, and 6). We aim to reduce that to less than 2 minutes. There are several options: increasing parking space, better routing and capacity management
  • 56. CONCLUSION CONCLUSION Peak time in Central Park happens on Saturday at 13.10-20.20 Average arrival rate in Central Park is 345 motorcycles/ hour Average service time on server 1 is 5,7 s and on server 2 is 5,8 s Queueing time in lockets is under 1 minute and searching time average is under 2 minutes, So, the parking system on Central Park is optimal. The problem that happens in Central Park is mostly because of breakdown in server. So, queue only happen when the server is breakdown.
  • 58. RECOMENDATION RECOMENDATION The problem that happens in Central Park is mostly because of breakdown in server. So, queue only happen when the server is breakdown. Better maintanance program for each server machine Increase parking space Better routing and capacity management
  • 59. RECOMENDATION RECOMENDATION Increasing Parking Space Basement 1 location 2 = From 10 to 50 parking spaces Basement 1 location 4 = From 38 to 45 parking spaces Basement 1 location 6 = From 38 to 50 parking spaces Total Increase of parking space = 62 Average time to search parking space = 1.16 min No more spending over 2 minutes to search a parking space! Constraint : Limited Space to Expand
  • 60. RECOMENDATION RECOMENDATION Better Routing and Capacity Management Since there are 8 parking location that is continuously empty, managementcan start routing entities there, when queue start to form Management can also partly closed several parking locations on B1 to route entities to search for parking space at B2