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Simulation Presentation

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by

Conrad Cheung

on 12 May 2013

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Transcript of Simulation Presentation

Agenda Problem 0 + - = 9 8 7 1 2 3 4 5 6 c The Analysis of different distribution-Total Average Time The Analysis of different distribution-Total Average Time Tam Tai Yuen 52228471
Chan Tsz Yan 52224080
Chau Him Yat 52227321
Cheung Chun Hung 52219900
Yuen Xihua 52576557 Improve the efficiency of McDonald's restaurant Issue chosen During the peak hours

Long queues in McDonald's

Long customers waiting duration

Bad service quality Method used Change the queuing model

Reset the configuration of the queuing model Let's GO The Result of Analysis 1.Total average number of people
almost the SAME

2. Total average Time
Single queue is faster

3. The Waiting time - Bottleneck
Original 6 Queues – Food Ordering Process
Single Queue – Queuing for seat Process Exercises Welcome to my desk Simulation Project Model Assumption Background information Model
Description Modeling and
Analysis Recommendation
and
Conclusion McDonald's Corporation

The world's largest chain of fast food restaurants,

Serving around 68 million customers daily in 119 countries Headquartered
in
the United States


Began in 1940 First McDonald's


Hong Kong Paterson Street Since 1/8/1975 McCafé since 2008 McDelivery since 2009 Hamburger University since 2002 Investigate the phenomenon and give suggestion on the queuing model in order to improve the efficiency Model
Description Research Assumption Arena setting – Replication parameters Traffic Distribution Original Process Flow Establishment of the simulation model Data collection Random selection

Sample size: Arrival 20 times

Operation hours: 18 hours

Mon-Fri (6:00-24:00)
Real study of operation hours: 2 hours at either lunch time or dinner time Data Estimation

Suppose 50% of population per day was generating from 1 hour lunch time and 1 hour dinner time

Assume 500 people ( data collecting from 2 hours study) * 2

= 1000 people a day Replication:
40 times
Replication length:
18 hours
(base on 24 hours/day) Modeling
and
Analysis Exponential distribution parameters In order to transform the queuing model to Single queue
The capacity of Food ordering = 6
The capacity of Pick up = 6 Improved model used
-Single Queue Actual Process Time Originally, the total processing time is 140 seconds Modeling Simplification Customers arrive separately
Inter-arrival time will follow random(expo (1min))
Each customer will just buy 1 unit of food only Feature of improved single queue Re-engineering The Analysis of different distribution – Parameters change Triangular distribution parameters The Analysis of different distribution-Total Number of People The Analysis of different distribution bounce bounce bounce The Resource usage
Single Queue is more effective To conclude, We have suggested the single queue model to McDonald's as it could improve the efficiency of it's services , it could reduce the backorder cost for a great amount.
Though it may not feasible with the area limitation. NamNamLu Analysis of original model Half width=<0.00
Meet 95% confidence interval
i.e. The differences of processing time between Arena and Actual are small. Original Model flow The End
Full transcript