contoh desain slide presentasi ilmiah kreatif dan menarik #1

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


DATA GATHERING

Capacity

(492) in Basement 1(603) in Basement 2


DATA GATHERING

Searching time

Lantai 1Mean 41.97Std. 18.559


DATA GATHERING

Searching time

Lantai 2Mean 81.1Std. 15.7


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.


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


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


DATA GATHERING

Arrival Rate


DATA GATHERING

Inter-Arrival Time


DATA GATHERING

Service Time Counter 1


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

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: Maximum

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


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


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

contoh desain slide presentasi ilmiah kreatif dan menarik #1

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