Spreadsheet Modelling And Decision Analysis

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Your days are filled with life-changing decisions you have to make, from deciding what to eat for dinner to deciding where to live. Choosing which laptop model to buy can be easy when you are faced with so many good options.

Spreadsheet Modelling And Decision Analysis

A cool, level-headed way to make better decisions, of course, is to use a spreadsheet. The decision-making Google Sheet template we’re sharing is here to help. Based on the Decision Matrix method, the tool helps you really compare your options and make the best choice based on what you value. It goes beyond a simple list of pros and cons to consider different things.

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This Google Sheet template idea is adapted from the Sandbox version of Excel. If you use Excel instead of Google Sheets, consider this tool for your decision-making needs.

It’s easy going. Once you’ve filled in all the columns and rows, the spreadsheet will give you points for all the options you think of. Here’s how the decision matrix works.

Protip: Go to the “Example” worksheet in the file to see what the tool looks like when it’s complete.

Open and copy this Google Sheet (there will be a prompt to do so).

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This is for reference only. It could be something like “a house to buy” or “a candidate to rent”.

For example, when deciding to buy a home, factors may include neighborhood safety, price, number of bedrooms, number of bathrooms, and move-in readiness.

Rank the above items from 0 to 3, where 0 is the least important and 3 is the most important or must be. In the example above, the price may need to be less than $300k, so you would put it 3, while if you are more flexible on the plans to move, you can put it 0 or 1.

This list will be where you list your favorites, like any of the houses you are considering or the options you are thinking about.

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Now comes the fun part. For each option, go down the list of things that are important to your decision and rate them from 0 to 3, where 0 means it does not meet this need and 3 means it is good.

Once you fill in these cells, the spreadsheet will calculate a score for each option. The one with the highest number is the winner. A decision has been made!

Making important life choices may not be easy, but a spreadsheet can help you make unbiased, fact-based decisions. Combine this with your common sense or sense of humor to decide something with confidence. For more help on this front, check out our other related articles:

Melanie Pinola Melanie Pinola is a NY-based writer. In addition to experimenting with new production processes, she enjoys cooking, playing video games with her family, and traveling. Follow her at @melaniepinola.Change language. Cargar Idioma () Scribd Perks Read gratis preguntas frecuent y ayuda Iniciar sión

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7. Best objective value = 10.55 9. Best objective value = 125 11. Best objective value = 154 13. Best objective value = 775 15. Best objective value = 32500 17. Best objective value = 0.75 Best objective = 190 190. Target value = 26000 23. Optimum target value = 3.5 million

3. Highest profit = $775, 000 5. Lowest price per pound = $0.75 7. Average profit = $59, 300 9. Average profit = $26, 000 11. Lowest price = $3.5 million 13. c. Average revenue = $444,000 15. c. Average new customers = 113, 500 17. b. Maximum return = 10.25% 19. c. Average return = $8, 898 (or 8.898%) 21. c. Minimum cost = $1,049 (in 1,000s) 23. c. Profit = $1, 526, 500 25. c. Minimum number of employees = 640 27. c. Average steam production = 32, 174 pounds per ton 29. c. Minimum transportation cost = $730 31. c. Minimum cost = $44, 067.67 33. c. Maximum profit = $1, 007, 750 35. c. Profit = $669,000 37. c. Maximum profit = $29, 100 39. c. Minimum investment = $38, 149 41. b. Total cash flow = $22,878. 43. Among other things, defer $3,000 in payments to March 45. b. Gross profit = $1, 309, 900 47. b. Branches 1, 2, 6 and 8 are active

3. C. 4,67 d. 15.33. 5. A. 0 b. The new policy will not be unlimited. 6. D. No. Each additional ton of concentrate shipped from Eustis to Miami will increase the cost of the unit by $50. 7. C. $225 9. b. Profit per acre of cantaloupe will increase by $99.50.

Weighted Decision Matrix

11. A. No. E. Y. 13. c. Y. Profit will increase by $7×1,000=$7,000. 15. b. This restriction is not binding and the RHS can be increased to 0.15 without affecting the solution. 17. C. Normal Octane Rating = 90.0, Highest Octane Rating = 102.11. 19. B. Location 6. 21. b. The week. Each additional unit of capacity there increases the cost by $36.45 (which is the cheapest way to increase capacity). Yes, $1 extra. 23. C. $0. 25. B. $0. 27. F. Alternatives are the best solutions. X is given by O

3. A. Total cost = $3,398 7. Cost per arc increases by $2,000. 9.c you. Area 1 to Pine Hill 20,000 Area 1 to Eustis 10,000 Area 2 to Pine Hill 40,000 Area 3 to Eustis 25,000 Area 4 to 35,000 Sanford, 05, 02 Area 5 to Eustis, 5,000 Area 5 to Sanford Total cost $1, 132, 500. 11 c. Total cost = $1, 006, 675 13. b. Minimum cost $67, 825. 15. c. Gross profit = $12,750 17. b. The minimum total cost is $2, 700. 19. c. Minimum cost = $285 21. c. Total cost = $1,875 23. c. Total layover hours = 15, Long layover = 7 hours. 25. C. Total cost required = $273, 658 27. c. The average flow rate is 55 tons. 29. C. Total cost: $20, 150. 31. c. max

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