Reference no: EM132847222

246COM Computer Simulation - Coventry University

Learning Outcome 1: Demonstrate understanding of the principles and techniques associated with simulation modelling and business process and logic modelling languages.

Learning Outcome 2: Use simulation techniques and software to develop and evaluate appropriate scenarios for use in the analysis and evaluation of business alternatives.

Learning Outcome 3: Understand the concept of probability/randomness and how it can be modelled to produce realistic simulation models.

Learning Outcome 4: Develop a working knowledge of a discrete-event simulation software package such as Simul8.

Task and Mark distribution:

Ricoh Arena Stadium: Crowd Management

Ricoh Arena, a flagship stadium for Coventry City football club has a seating capacity of about 32,000. Apart from a stadium there is an exhibition hall, a hotel and a casino. Of late, there has been criticism from football fans that entry into the stadium is difficult and inconvenient with long waiting times during football matches. As football fans are patrons for this ground and the clubs associated, it is important to provide quality service and enjoyable experience in Ricoh Arena and hence efficient management of crowd is important.

There are currently four stands (East, West, North and South) with five gates in each stand. Typically there are two types of customers namely customers with online tickets and without tickets. There are about 1 in 5 customers without ticket and the rest buy online before arrival.

Customers arrive in the allotted stand and join a common queue near their allotted gate.

Thereafter tickets are checked for validity (Fixed distribution with 0.25 minutes/customer) and then go through security checks which take on an average 1 minute per customer (Normal distribution with standard deviation of 0.25 minute). After security check customers enter the stadium and head towards their seats. Each ticket check gate has one staff member. Security check stage has one staff member for pat down checks and baggage checks for alcohol or restricted items.

For customers without ticket, each stand is equipped with one ticket counter for issuing any available tickets. These customers arrive randomly in one of the four stands. It takes on an average 4 minutes (normal distribution with standard deviation of 1 minute) to issue a ticket and help them choose their preferred seat in the same stand. Once a ticket is issued, these customers join the common queue in the same stand near their allotted gate along with customers with online ticket.

For the upcoming match there are about 10,000 seats expected to be sold in equal proportion to all the four stands. The match is expected to start at 12:00 noon. These include customers with online ticket and without ticket in the same proportion as mentioned earlier. Assume that customers start arriving 4 hours before the start of a match (i.e. from 08:00) and at a fixed arrival rate of 15 customers/minute to each stand. There will be no customers arriving after 11:00. With these arrival data, the stadium manager is concerned about football fans' experience and crowd management. With this intent, they want a simulation consultant to look at how the football fan entry is currently being managed.

Without compromising safety, managing resources is of prime importance to Ricoh, to provide a good customer experience to football fans. As a consultant help Ricoh in understanding the existing crowd management.

If you need to make any reasonable assumption, clearly state them in the report.

Required to submit:
Write a consultant report that includes:

Analysis
a. As consultant tasked with helping resource management, provide an explanation of which data collection method(s) would be appropriate to capture the required information for modelling this problem.
b. An appropriate flowchart with detailed explanations of the process.
c. A table showing entities and events.
d. From the perspective of simulation an Introduction to the problem which includes aims, objectives, assumptions.
e. Well defined and SMART key performance indicators and any other relevant information you deem appropriate.

Simulation
f. Develop a simulation model (make any assumptions where appropriate) to imitate the above system
("As-Is" situation).
g. Using your KPIs, provide an in-depth analysis of the current situation.

Experimentation
h. At least two experiments (‘What if' scenarios) to:
• Achieve a minimum queue at each stage.
• Maximise the staff(s) utilisations.
• Minimise average waiting time.
• Maximise revenue from services.

Recommendation

i. Recommendations for further improvement using each experiment (bullet points). A recommendation of how the performance of the system can be improved. Your recommendation must be supported by evidence from your simulation and experimentation.

Attachment:- Computer Simulation.rar