MSF DECISION ANALYTICS PROJECT
Doctors Without Borders or Médecins Sans Frontières (MSF), is a secular humanitarian-aid non-governmental organization best known for its projects in war-torn regions and developing countries facing endemic disease. The organization currently provides health care and medical training to populations in 78 countries and is reconsidering the following 52 countries:
- Democratic Republic of Congo
- South Africa
- Sri Lanka
Aside from injuries and death associated with stray bullets, mines and epidemic disease, MSF volunteers are sometimes attacked or kidnapped for political reasons. In some countries afflicted by civil war, humanitarian aid organizations are viewed as helping the enemy, if an aid mission has been set up exclusively for victims on one side of the conflict, and attacked for that reason. However, the War on Terrorism has generated attitudes among some groups in US-occupied countries that non-governmental aid organizations such as MSF are allied with or even work for the Coalition forces. Since the United States has labeled its operations "humanitarian actions" independent aid organizations have been forced to defend their positions, or even evacuate their teams.
You are required to consider the following (Raw MSF Data) with 280 factors and 24 countries in four continents for this project. Organize your 280 factors into opportunities (strengths) and threats (weaknesses) reasonably or by using Internet resources for questionable factors. Also, clean up the data and watch for duplicates. You are then required to do all necessary calculations in excel for the Euclid model. Your Euclid model and the CSV file used in the Euclid program must produce similar results. While the Euclid numbers are precise, you may experience up to ± 0.02 rounding differences in the average opportunity and the average threat scores between Excel and Euclid due to Excel rounding. This may also result in a small variation among the final rankings of the countries in Excel and Euclid. The Excel file must include a complete scatter chart for the Euclid model. This includes all data labels, ideal point, nadir point, coordinates, average partition lines, and the four quadrants. The spreadsheet must also include the Euclidean distances and rankings with reference to the ideal point. All formulas must be preserved in the spreadsheet. Finally, your spreadsheet must include a radar chart and a world heatmap of the Euclidean distances for the 24 countries considered in your study. Please refer to Get started with 3D Maps (maps.pdf) for this requirement.
MSF ACTIVITY AND FINANCIAL REPORTS
NationMaster - World Statistics
World Factbook - Central Intelligence Agency
Library of Congress - Country Studies
World Bank - World Development Indicators
Organization for Economic Co-operation and Development
Organization for Economic Co-operation and Development: Better Life Index
Multi-Criteria Decision Making (MCDM) (Problem) MCDM (Solutions)
André and Angelique: Buying Their Dream Home (Problem) Problem CSV File
André and Angelique: Buying Their Dream Home (Solution) Solution
McDonald’s Corporation Location Planning (Problem) Problem
Labeling Points on a Euclid Scatter Chart
Fixing the #VALUE! Error Messages in your Euclid Spreadsheet
Get started with Excel 3D Maps
- Tavana, M. (2008) 'Fahrenheit 59: An Environmental Decision Support System for Benchmarking Global Warming at Johnson Space Center ,' Benchmarking: An International Journal, Vol. 15, No. 3, pp. 307-325.
- Tavana, M., Bourgeois, B.S. and Sodenkamp, M. (2009) 'Fuzzy Multiple Criteria Base Realignment and Closure (BRAC) Benchmarking System at the Department of Defense ,' Benchmarking: An International Journal, Vol. 16, No. 2, pp. 192-221.
- Tavana, M. and O’Connor, A. (2010) 'An Integrated Strategic Benchmarking Model for Assessing International Alliances with Application to NATO Membership Enlargement ,' Benchmarking: An International Journal, Vol. 17, No. 6, pp. 791-806.
- Tavana, M., Sodenkamp, M. and Suhl, L. (2010) 'A Soft Multi-Criteria Decision Analysis Model with Application to the European Union Enlargement ,' Annals of Operations Research, Vol. 181, No. 1, pp. 393-421.
- Tavana, M., Di Caprio, D., Santos-Arteaga, F.J. and O'Connor, A. (2015) 'A Novel Entropy-Based Decision Support Framework for Uncertainty Resolution in the Initial Subjective Evaluations of Experts: The NATO Enlargement Problem ,' Decision Support Systems, Vol. 74, pp. 135-149.
Final Report Outline:
- Cover Page
- Executive Summary
- Introduction and Problem description
- Proposed method (include step-by-step description)
- Results (include Euclidean distance and overall rankings, scatter chart with four quadrants, radar chart, world heath map, etc.)
- Recommendations and conclusions
Sample Consulting Reports:
Final Report Submission:
Submit your WORD, EXCEL, and CSV files via the following E-mail: firstname.lastname@example.org