Description
Purpose
This assignment task is aligned to the learning outcomes GLO1 & ULO1 and skills GLO4 & ULO3 required to build complex decision models and use advanced quantitative modelling techniques, such as optimisation, to analyse and develop solutions to business problems. By completing this task, you will develop your skills in conceptualising, formulating and representing a business problem as a spreadsheetâbased decision model, developing a business decision model using MS Excel, and undertaking scenario analysis, stochastic modelling, and risk analysis based on simulation modelling.
Context/Scenario
As the high season approaches, Hotel Paradise, a renowned beachfront resort, anticipates a surge in accommodation reservation bookings from eager vacationers. To ensure efficient management of this influx and capitalise on revenue opportunities, they are seeking your expertise in the development of a comprehensive decision model tailored for analysing and managing hotel booking operations. This model is intended to empower the Hotel Sales Manager in making informed decisions regarding accommodation reservations, pricing strategies, and associated risks, particularly focusing on the upcoming high season.
Ultimately, the successful deployment of this decision model will not only enhance Hotel Paradise`s competitiveness in the market but also elevate the guest experience during the high season. Through strategic decisionâmaking and risk management, the hotel is poised to achieve its objectives of maximising occupancy rates and daily profits, solidifying its reputation as a premier destination for discerning travellers.
Key features expected in the fully functional spreadsheetâbased decision model capable of accommodating fixed and stochastic inputs and generating actionable insights:
Section 1: Spreadsheetâbased decision modelÂ
Design a spreadsheet model that you can use to investigate the problem. The model should include the following:
Section 2: Scenario analysisÂ
This section relates to Topic 7Â . Consider different scenarios for stochastic inputs and examine the impact on the outputs. Also, consider the sensitivity of the outputs to the decision variables.
Section 3: Stochastic modelling including choice of distributions
This section relates to Topics 8 and 9. Undertake stochastic modelling where each of the stochastic inputs is now random. This will require you to choose an appropriate distribution for each of the stochastic inputs and justify each one. Part of the justification required will come from examining the descriptive statistics of stochastic inputs.
Section 4: Simulated output distribution and risk analysis report
This section relates to Topic 9. This requires you to undertake a risk analysis based on simulation modelling, in order to quantify the risks associated with the given context.
Section 5: ReportÂ
See the Assignment 2 Rubric at the end of this document and the Assignment 2 Report Template word document.
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