MGT4540/4641 Operations Management

MGT4540/4641 Operations Management 2020-21
1
Coursework 2 (individual report & simulation model)
Read the case study description below. Develop and run Arena simulation model for the
current system. Analyse the results and then modify the system to identify optimal level of
resources required. Note that you are only allowed to modify capacity. Write a technical
report (1,500 words ±10%) that analyses the current performance of the process, conducts
justifiable experiments and makes a clear and justified recommendations for the company.
You are required to submit your report in PDF or MS Word format through Turnitin via
UniHub by the deadline of 9pm on Friday 8th January 2021 (end of learning week 12).
You must also submit your Arena model (.doe file) through a drop-box via UniHub by the
same deadline). Name both of your files using your student number only (this is so that your
Arena model and Report can be combined when marking). Assignment will be blind marked
so don’t include your name in the report. Late submissions or submissions through other
methods will not be accepted.
Your report should include the following:
1. Introduction with a brief discussion on the suitability of computer simulation and
Arena software to address the case study problem. Justify. (10 marks)
2. Analysis of the current system performance (you need to analyse not just report the
results). (20 marks)
3. Experiments with the capacity of the system. Each experiment need to be clearly
justified and results analysed to understand the impact of the proposed change and
the performance of the new system. Only make one change to system at time. (40
marks)
4. Recommendation and discussion on the implications of the recommendation. (10
marks)
** Arena model (.doe file) of the current system must be submitted via the drop-box.
(20 marks)
You are writing this report to your manager so it should look and sound like professional
piece of work.
Keep the submission receipt and a copy of your assignment in a safe place. Note that
Turnitin could get very busy near the deadline. It is advised that you plan your submission
well in advance to avoid any last minute panic. If you are unable to submit your work on
time, you must seek a deferral/extension via UniHub using the Extenuating Circumstances
Process (please note that module leader/tutor will not be able to grant extensions). If you
have acceptable extenuating circumstances and satisfy the requirements for a deferral or
extension, a new deadline will be granted to you for submission. If you are unable to submit
the report on time and do not have a deferral, you will be given 0% marks for this
assessment component. Any grades you see on myUniHub will be unconfirmed grades, as
grades can only be confirmed at the assessment board, and these grades may change.
You will receive feedback within 3 weeks of the submission deadline.
MGT4540/4641 Operations Management 2020-21
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Case Study
You have recently started a new job as a Junior Process Analyst in a large hospitality
business. Your manager has asked you to investigate one of the branches in their chain of
coffee shops. The branch has received negative customer feedback and the sales have
been declining. Your manager wants to understand if there are any underlying process
related issues in the branch and how these could be resolved. Your manager wants you
to:
1) Gain understanding of the process structure (completed)
2) Measure and collect relevant data from the process (completed)
3) Build a model of the process using Arena simulation software
4) Simulate the current process and analyse the results to gain understanding of its
performance
5) Experiment with the capacity of the system to identify how the process could be
improved
6) Write a report to your manager summarising your findings (+/- 1,500 words)
You have completed Steps 1 & 2 and the information you have collected is summarised
below.
London Airport Terminal 2 branch of Coffee Adventures Shop is located at airport
departure lounge. The key information about the process is as follows: information is as
follows:
 Service process has the following steps: 1) Take customer order and payment
Tria(0.5,1,2) – requires one cash machine and one employee, 2) Deliver the order
to the drink machines Constant(0.5) – requires one employee, 3) Make the
purchased drink Tea: Tria(0.5,1,3), Coffee: Tria(1,2,6) or Hot chocolate:
Tria(1.5,3,5) – requires the appropriate machine (one Tea Pot, one Coffee Machine
or one Hot Chocolate Machine) and one employee, 4) deliver the drink to the
customer Expo(0.5) – requires one employee. Same employee completes the order
from Taking order to Delivering the drink.
 5% of orders are identified as faulty after delivery to customer and need to be
remade (order needs to be redelivered to drink machines by the same employee
who delivered it to the customer) with delay of Expo(0.5), purchased drink remade
(same drink) and then redelivered to customer with resources and times as
specified earlier.
 Company has one machine for making tea, one for making coffees and one for hot
chocolates. Each machine can only be used to make one drink at a time.
 Company has two cash machines and two employees
 Company sells three different types of hot drinks; 30% of customers order Tea,
50% order coffee and 20% order hot chocolate.
 Time between customer arrivals follow Expo(3) distribution
 The number of customers arriving at the same time follows Poisson(1) distribution
 When a customer arrives and if both cash machine and employee are idle the
customer will be served immediately, otherwise the customer waits in a First-InFirsts-Out (FIFO) queue
 Each customer orders only one drink.
 All times are given in minutes.
 The system starts at time zero minutes with no products present and the
machine(s) idle.
 Run the simulation for 120 hours.
MGT4540/4641 Operations Management 2020-21
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Marking Criteria

Section/ criteria 70-100% 60-69% 50-59% 40-49% 0-39%
Introduction: A clear
introduction and
justification of the
method used
(0-10 marks)
Outstanding
understanding of the
simulation concepts.
All relevant concepts
identified and well
discussed.
Good understanding
of simulation
concepts. Good
discussion of the
relevant concepts but
incomplete.
Satisfactory
knowledge and
understanding of
simulation concepts.
All relevant concepts
identified but not
discussed or some
concepts identified
and discussed.
Incomplete.
Adequate knowledge
and understanding of
simulation concepts.
Few relevant
concepts identified
but not discussed.
Inadequate
knowledge and
understanding of
simulation concepts;
No relevant/correct
information given.
Analysis: Relevant
and informative
analysis of the
current system
performance
(0-20 marks)
Excellent analysis of
the current system
performance based on
data. Data is related to
system performance
and correct
conclusions have been
made.
Good analysis of the
current system
performance. Data is
used to analyse
system performance
but analysis is partly
incomplete or lacks
depth.
Satisfactory analysis
of the current system
performance. Data is
analysed with varying
depth and accuracy.
No complete
understanding of the
system performance
developed.
Adequate content;
limited depth of
analysis. Some
analysis of the data is
conducted but the
analysis is incomplete
and not detailed.
Focused on reporting
data rather than
analysis of the system
performance.
Inadequate content;
Data is reported but
not analysed.
Incorrect and
incomplete
conclusions.
Experimentation &
Analysis:
Experiments with the
capacity of the
system to identify
how the process
could be improved
(0-40 marks)
Experiments are clear
and logical. Each
experiment has been
clearly justified and
results analysed to
understand the impact
of the proposed
change and the
performance of the
new system
Experiments are clear
and logical. Good
justification and
analysis but partly
incomplete or lacks
clarity
Experiments are
unclear or partly
illogical. Justification
and analysis is
satisfactory but
incomplete and lacks
depth
Experiments are
unclear and illogical.
Some relevant
justification and
analysis. Incomplete.
Inadequate
experiments
conducted with no
relevant justification
and analysis. No
understanding of how
to use data to develop
experiments.
Appropriate process
not followed.

MGT4540/4641 Operations Management 2020-21
4

Recommendation
and Implications:
Clear and justified
recommendation and
considerations of the
possible implications
(0-10 marks)
Logical and coherent
recommendation with
excellent discussion
on relevant
implications
Clear and coherent
recommendation with
good discussion on
most relevant
implications
Recommendation is
unclear. Most relevant
implications have
been recognised but
discussion lacks
details
Recommendation is
inconsistent and
discussion on
implications is
incomplete
No coherent
recommendation.
Most implications are
not recognised or
discussed.
Presentation:
Clearly presented
with limited spelling
and grammatical
errors
Very well expressed
and understanding of
content with limited
spelling or
grammatical errors
Very well expressed;
good understanding
of content with some
spelling and/ or
grammatical errors
Well expressed;
understanding of
content with several
spelling and/ or
grammatical errors
Unclear expression of
information; little
understanding of
content; several
spelling and
grammatical errors
Several spelling and
grammatical errors
Arena Model:
Accuracy of the model
developed for the
current system
(0-20 marks)
Model correctly
illustrates the system
logic and data; model
is clearly presented
and easy to
understand
Some small errors in
the model logic/data
and presentation is
not very clear
Major error in the
system logic/data but
most of the model is
correct. Easy to
understand.
Major errors in the
system logic/data.
Model does not run
and/or results have
significant errors.
Model is confusing.
Model not submitted
or the submitted
model does not
correctly illustrates
the system logic and
data. Major errors and
model does not run.
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