7081CEM - Simulation - Coventry University

Individual Report

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

Learning Outcome 2: Use business process modelling languages to identify logic of business operations in variety of sectors.

Learning Outcome 3: Develop best practices in designing and developing a good simulation model by validation and measuring process improvement ideas through experimentation with models.

Learning Outcome 4: Create models to solve a range of business operation problems using discrete-event simulation software such as ARENA/Simul8.

Assessment Task

For the given case study of business process, demonstrate skills to analyse, design, model and experiment business process in a discrete event simulation (DES) approach in Simul8/Arena. This assessment will require student to submit an individual report (of 2000 words) for the case study along with the simulation model developed. The case study is given below.

Case - UberEats: data-driven operational and expansion strategy

Required"

Write a consultant report that includes:

Analysis

Part a. An appropriate flowchart with detailed explanations of the process.

Part b. From the perspective of simulation an Introduction to the problem which includes aims, objectives, assumptions.

Part c. Well defined and SMART* key performance indicators and any other relevant information you deem appropriate.

         *SMART - Specific, Measurable, Achievable, Realistic and Time based.

Simulation

Part d. Develop a simulation model (make any assumptions where appropriate) to imitate the above system ("As-Is" situation).

Part e. Using your KPls, provide an in-depth analysis of the current situation.

Part f. Appropriate animation in the "As-Is" model you develop.

Experimentation

Part g. At least two experiments (‘What if' scenarios) to:
i. Achieve a minimum queue at each stage.
ii. Maximise the staff(s) utilisations.
iii. Minimise average waiting time.
iv. Maximise revenue from services.

Part j. A comparison of data using Excel for the "As-Is" scenario with the other improvement ‘What if' scenarios.

Recommendation

Part k. 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:- Simulation.rar