Statistics
Emergency Facilities Readiness Project
Overview and Rationale
This project is designed to provide you with hands-on experiences in performing simulation techniques – a method that students learn to use for decision-making purposes. You are asked to use simulation to evaluate the readiness and competency of a local emergency facilities.
Course Outcomes
This assignment is directly linked to the following key learning outcomes from the course syllabus:
CO1: Use descriptive, Heuristic and prescriptive analysis to drive business strategies and actions
CO3: Analyze the role of analytics in supporting decision making for various other stakeholder groups within and outside of your organization
Assignment Summary
University administers at a local University have recently launched several planning projects to determine how effectively local emergency facilities such as local hospitals can handle natural disasters (weather, fire,…). One of these projects focused on the transport of disaster victims from the campus to the five major hospitals in the area 1:
(i) Beth Israel Deaconess Medical Center
(ii) Tufts Medical Center
(iii) Massachusetts General Hospital
(iv) Boston Medical Center
(v) Brigham and Women’s Hospital
The project team would like to determine how many victims each hospital might expect in a disaster, and how long it would take to transport victims to the hospitals. However, because of lack of historical data on disasters in the area, the project team have decided to
assume that the total number of victims is best approximated by a triangular probability distribution with a minimum and a maximum of respectively 20 and 300 victims, and with a peak of 80 victims.
The emergency facilities and capabilities at the five hospitals vary. The following table describes how victims will be distributed to the hospitals in the event of a disaster situation:
Hospital Allocation of Disaster
Victims
Beth Israel Medical 30%
Tufts Medical 15%
Massachusetts General 15%
Boston Medical 20%
Brigham and Women’s 20%
The proximity of the hospitals to the university campus also varies. It is estimated that the transport times to each of the hospitals is exponentially distributed with a certain average that depends on that hospital. The following table indicates the average of the transport time for each hospital.
Hospital Average in Minutes
Beth Israel Medical 5
Tufts Medical 11
Massachusetts General 16
Boston Medical 13
Brigham and Women’s 22
For simplicity, we may assume that each hospital has two emergency vehicles, so that one leaves the university campus when the other one leaves the hospital. This means that one emergency vehicle arrives at the campus when the other arrives at the hospital. Therefore,
the total transport time for each hospital will be the sum of transporting each victim to that hospital.
Project Instructions:
1. Perform a simulation analysis consisting of 5,000 simulations to determine:
a. Average number of victims that can be expected at each hospital.
b. For each hospital, the average total time (in hours) needed to transport all victims.
c. For part (a) above, create a chart the displays the Law of Large Numbers in action for the Beth Israel Medical. (Law of large numbers: As the number of trials becomes larger, the observed averages approach to the theoretical average.)
d. For the Beth Israel Medical hospital, perform an exploratory data analysis of the total transport time by:
i. Calculating a 95% confidence interval for the total transport time,
ii. Determining a probability distribution that best fits the total transport time (in hours).
iii. Supporting your assertion in part (ii) by creating a frequency distribution and performing a Chi-squared Goodness of fit test.
e. Let 𝒕 denote the average transport time (in minutes) per victim for the entire process of transporting all victims. Perform an exploratory data analysis of 𝒕.
2. Perform a simulation analysis consisting of 5,000 simulations in another worksheet of your workbook; however, assume that the total number of victims is normally distributed with a mean of 150 victims and a standard deviation of 50 victims. Furthermore, suppose that the transport time for each hospital is normally distributed with a mean and a standard deviation that differ for each hospital. The table below displays these quantities:
Hospital Average in Minutes SD in Minutes Beth Israel Medical 8 1
Tufts Medical 12 4
Massachusetts General 16 2
Boston Medical 16 4
Brigham and Women’s 19 5
Analyze the results of this simulation by repeating parts (a) – (e) of part 1 using the above values.
3. In the word document, explain your methodologies and conclusions.
4. In the word document, provide your opinion regarding a few major quantitative and qualitative differences between the outputs of simulations (1) and (2) above.
5. In the word document, explain how the information obtained from your simulation can be used for planning purposes.
6. In the word document, explain in your opinion, how each simulation can be changed to provide additional useful information.
Format & Guidelines
Complete Parts 1, and 2 of the Project Instructions above. Each part must be in a different file.
Complete Parts 3, 4, 5 and 6 as part in your report. The report should follow the following format:
(i) Introduction
(ii) Analysis
(iii) Conclusion
And be a minimum of 1000 words and be presented in the APA format.
Reference:
1. University Health and Counselling Services. Northeastern University. Emergencies. Retrieved from: https://www.northeastern.edu/uhcs/medical-services/emergencies/
2. Taylor III, B.W. (2011) Introduction to Management Sciences. Prentice Hall. Upper Saddle River, NJ
Rubric
Category Exceeds Standards Meets Standards Approaching Standards
Below Standards
R: Problem Modeling & Set-up ALY6050-CO1
Completely and concisely modeled the problem in Excel (or R) for each method
Accurately modeled the problem in Excel (or R) for each method
Correctly modeled the problem in Excel (or R) for each method, but the model lacks detailed insight into the problem or the set- up is awkward.
Modeled the problem in Excel (or R) for each method, but there are some gaps in the problem modeling and setup
R: Problem Solution & Accuracy ALY6050-CO1
Efficiently obtained correct and accurate solutions in Excel (or R) by using the appropriate analytic tools of the software
Obtained complete and accurate solutions in Excel (or R) by using the appropriate analytic tools of the software
Obtained correct solutions in Excel (or R) using the appropriate analytic tools of the software, but the application of the tool is awkward.
Obtained a solution in Excel (or R) by using the appropriate analytic tools of the software, but the solution is not complete.
Word/Report: Problem Description & Introduction ALY6050-CO3
Provides a thorough and concise summary of the problem descriptions and introduced the problem using rich and significant ideas
Provides an accurate and succinct summary of the problem descriptions and problem introduction
Provides an accurate summary of the problem descriptions and problem introduction, but the description is too wordy or not succinct
Provided a summary of the problem descriptions and problem introduction, but it is inaccurate or incomplete
Word/Report: Description of Problem Analysis ALY6050-CO3
Provides a thorough and precise description of the analytic concepts and theories used in analyzing the problem
Accurately describes the analytic concepts and theories used in analyzing the problem
Describes the analytic concepts and theories used in analyzing the problem, but description lacks appropriate detail or precision
Describes the analytical concepts and theories used in analyzing the problem, but descriptions are incorrect or the analytical concepts and theories are incorrect
Word/Report: Description of Conclusions ALY6050-CO3
Provides conclusions and results obtained in the project using a high level of critical thinking and reasoning
Provides relevant conclusions and results obtained in the project that reflect critical thinking and reasoning
Provides conclusions and results obtained in the project, but not all conclusions or results are relevant to the problem or not all conclusions reflect good reasoning
Provides conclusions and results obtained in the project, but they are irrelevant and reflect a lack of critical thinking
Category Exceeds Standards Meets Standards Approaching Standards
Below Standards
Word/Report: Writing Mechanics, Title Page, & References
Completely free of errors in grammar, spelling, and punctuation; and completely correct usage of title page, citations, and references. The report contains a minimum of 1000 words
There are no noticeable errors in grammar, spelling, and punctuation; and completely correct usage of title page, citations, and references. The report contains a minimum of 1000 words
There are very few errors in grammar, spelling, and punctuation; and completely correct usage of title page, citations, and references. The report contains a minimum of 1000 words
There are more than five errors in grammar, spelling, and punctuation; or the usage of title page, citations, and references are incomplete; or the report contains less than 1000 words