MACT9090 Enterprise Risk Management

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MACT9090 Enterprise Risk Management

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MACT9090 Enterprise Risk Management

0 Download2 Pages / 284 Words

Course Code: MACT9090
University: University Of Kent

MyAssignmentHelp.com is not sponsored or endorsed by this college or university

Country: United Kingdom

Questions: 
1. An Excel-based model, using the RiskOptimizer programme to recommend the level of intervention that the airline should engage in with each of its aircraft, given its available budget. (Note: you should allow the RiskOptimiser, at most, 10 minutes’ runtime in order to give it a chance of finding a feasible solution.)2. A Powerpoint presentation (no more than five slides) that summarizes the problem, how your model solves it and the results from the Optimisation. 
Answers:
Project Description 
This project is analysis the outpatient waiting times for provided quantitative data. The provided data is based on the patients because basically patients are come to the local hospital accidents and emergency department or treatment. But, the patients are wait until a doctor or nurse is available to the treat them. Basically, the government has set the maximum length of waiting time for each patient must been have treated. The maximum waiting time is 12o minutes. So, if patients are wait longer than this maximum, it will result in the hospital being awarded penalty points at the rate of 10 points per minute over the maximum. So, this project is needs to determine the total number of penalty points the hospital accrues over the year by using the Risk solver on Excel. These are will be discussed and analysed in detail.

 Name

 Cell

 Function

 Min

 Mean

 Max

 Correlation Matrix:                                                      Location: ‘Fit Summary ‘!$B$20:$C$21     Size: 2 X 2

Function / RiskUniform(0,501)

B9

RiskUniform(0,501,RiskCorrmat($B$20:$C$21,1))

0

250.5

501

Function / RiskBetaGeneral(1.7739,1.8887,107.659,146.585)

C9

RiskBetaGeneral(1.7739,1.8887,107.659,146.585,RiskCorrmat($B$20:$C$21,2))

107.659

126.512

146.585

References 

Albright, S., Winston, W., Zappe, C. and Broadie, M. (2011). Data analysis, optimization, and simulation modeling. Australia: Cengage Learning.
solver. (2018). Risk Solver® Platform. [online] Available at: https://www.solver.com/risk-solver%C2%AE-platform [Accessed 29 Dec. 2018].  

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