contoh desain slide presentasi ilmiah kreatif dan menarik #1
TRANSCRIPT
MOTORCYCLE PARKING SYSTEMP 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
CONSEPTUALIZATIONMODEL
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 MallWest Jakarta
Has reached visitors each month
(source: marketing.co.id)2.9million
Shopping Mall
Office
Apartments & Hotels
PROBLEM DEFINITION
Can be reached by
CarMotorcyclePublic transportation
CAR PARKINGMOTORCYCLEPARKING} }
CURRENT CONDITION
PROBLEM DEFINITION
MOTORCYCLE PARKING AREA
2 FLOOR: B1 & B2
GATE IN : 21 LINE 2 SERVER
GATE OUT : 31 LINE 3 SERVER
PROBLEM DEFINITION
WHAT
PROBLEM DEFINITION
WHEREWHEN
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 onweekend (especially on Saturday) led to queueing in thesystem. If queue happens more than 1 minute and time formotorcycle to search parking more than 2 minutes, it willdecrease customer satisfaction so that it will causeopportunity loss to Central Park Mall.
MODEL CONCEPTUALIZATION
MODEL CONCEPTUALIZATION
FLOW CHART
DATA GATHERING
SOURCE OF DATA
Credible ExpertOpinion
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 1Mean 41.97Std. 18.559
RAW DATA & PROCESSING
DATA GATHERING
Searching time
Lantai 2Mean 81.1Std. 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
Freq
uency
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
Kedatangan 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 Detik1 3 13 10 3 1 13 10 4 5 13 10 9 1 Tidak antri2 9 13 10 12 1 13 10 13 4 13 10 17 1 Tidak antri3 1 13 10 13 1 13 10 18 6 13 10 24 5 Antri4 23 13 10 36 1 13 10 37 5 13 10 42 1 Tidak antri5 34 13 11 10 1 13 11 12 8 13 11 20 2 Tidak antri6 12 13 11 22 2 13 11 23 4 13 11 27 1 Tidak antri7 20 13 11 42 1 13 11 43 6 13 11 49 1 Tidak antri8 15 13 11 57 1 13 11 58 9 13 12 7 1 Tidak antri9 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 antri11 13 13 12 49 1 13 12 50 5 13 12 55 1 Tidak antri12 18 13 13 7 1 13 13 8 8 13 13 16 1 Tidak antri13 6 13 13 13 1 13 13 15 4 13 13 19 2 Tidak antri14 8 13 13 21 1 13 13 22 17 13 13 39 1 Tidak antri15 9 13 13 30 1 13 13 41 9 13 13 50 11 Antri16 5 13 13 35 2 13 13 50 4 13 13 54 15 Antri17 15 13 13 50 1 13 13 52 5 13 13 57 2 Tidak antri18 13 13 14 3 1 13 14 4 6 13 14 10 1 Tidak antri19 3 13 14 6 2 13 14 8 5 13 14 13 2 Tidak antri20 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
12
3
4BUILD
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
01Watching
Animation
02Comparing with
other models
03Comparing with
actual system
04Conducting degeneracy
and extreme condition
05Performing
sensitivity analysis
VALIDATION
WATCHING ANIMATION
VALIDATION
CLICK
COMPARING WITH SPREADSHEET MODEL
VALIDATION
Spreadsheet Model ProModel
Average server utilization (ρ) 0.2875 0.24Average 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) 0.22Probability (% of time) system is empty (P0) 55% 85%
Arrival rate during peak time 345 motorcycle/hourAverage service time during peak time 6 seconds
OBSERVATIONSaturday, 26-09-201511.10 am to 9.20 pm
268259
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 TESTArrival Rate: 0
CONDUCTING DEGENERACY & EXTREME CONDITION
VALIDATION
EXTREME TESTArrival Rate: 0
CONDUCTING DEGENERACY & EXTREME CONDITION
VALIDATION
EXTREME TESTArrival Rate: Maximum
CONDUCTING DEGENERACY & EXTREME CONDITION
VALIDATION
EXTREME TESTArrival 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 Input1780 unit in 6 hourSingle Line Multiserver
Total Output1202 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 minWs for Server 1 = 0.12 minWs 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 entitiesLs 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 modelThe server is under utilized even at peak time
Entity ActivityAverage Time in system = 92.86 minAverage time in waiting = 0.03 minAverage 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 emptyAverage of empty parking space = 31.8%Average of full parking space = 28%
Average # of entities in parking space system = 432 unit per hourThere are overcapacity in Central Park parking system
Average time = 1.69 minThere 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 Saturdayat 13.10-20.20
Average arrival rate in
Central Park is 345
motorcycles/hour
Average service time on server 1 is 5,7 sand on server 2 is 5,8 s
Queueing time in lockets isunder 1 minuteandsearching time average isunder 2 minutes,So, the parking system onCentral 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 SpaceBasement 1 location 2 = From 10 to 50 parking spacesBasement 1 location 4 = From 38 to 45 parking spacesBasement 1 location 6 = From 38 to 50 parking spaces
Total Increase of parking space = 62Average time to search parking space = 1.16 minNo more spending over 2 minutes to search a parking space!
Constraint : Limited Space to Expand
RECOMENDATION
RECOMENDATION
Better Routing and Capacity ManagementSince there are 8 parking location that is continuously empty, management can 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