| Category |
Coursework |
Subject |
Education |
| University |
Coventry University |
Module Title |
5026CEM Operational Research and Simulation |
| Type of assessment |
Report |
| Word Count |
1000 words |
| Academic year |
2025 |
Requirements
- Explain which data collection method(s) would be appropriate to capture the required information for modelling this problem.
- Produce an appropriate Flowchart for the processes involved in the given scenario.
- Produce a table showing entities and events.
- From the perspective of simulation, provide an Introduction to the problem, which includes aims, objectives, and assumptions.
- Provide well-defined and SMART key performance indicators and any other relevant information you deem appropriate.
Note: SMART – Specific, Measurable, Achievable, Realistic and Time-based.
Simulation
- Develop a simulation model (make any assumptions where appropriate) to imitate the above system (“As-Is” situation).
- Using your KPIs, provide an in-depth analysis of the current situation.
Experimentation
At least two experiments (‘What if’ scenarios) to:
- Maximise the staff(s) utilisations.
- Minimise average waiting time.
Recommendation
- 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.
It is mandatory to upload the following:
- Word report answering the above question in the order specified and with question numbers (a) to (i) clearly specified.
- Upload the report file in the word document (docx) and include the Simul8 fil
Module Learning Outcomes Assessed:
- ILO3: Demonstrate understanding of the principles and techniques associated with simulation modelling and business process and logic modelling languages.
- ILO4: Use simulation techniques and software to develop and evaluate appropriate scenarios for use in the analysis and evaluation of business alternatives as well as explore the concept of Probability/randomness and how it can be modelled to produce realistic simulation models.
- ILO5: Develop a working knowledge of a discrete-event simulation software package such as Simul8/ARENA.
