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Sensitivity and Breakeven Analysis

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1 Sensitivity and Breakeven Analysis
Lecture No. 29 Professor C. S. Park Fundamentals of Engineering Economics Copyright © 2005

2 Chapter 10 Handling Project Uncertainty
Origin of Project Risk Methods of Describing Project Risk Probability Concepts for Investment Decisions Risk-Adjusted Discount Rate Approach

3 In Engineering economics we predict cash flows
How do you know for sure that what you are claiming for interest rate, costs, revenues remain true??? Well for some situations you can be close enough to consider your “single point” analysis to be worthwhile. For other you need to consider what is called RISK

4 We use the term risk to describe an investment project where cash flows are not known in advanced with certainty. What to do: Instead of single point analysis, an array of outcomes and their probabilities or odds are to considered.

5 Origins of Project Risk
Risk: (in essence) the potential for loss Project Risk: variability in a project’s NPW Risk Analysis: The assignment of probabilities to the various outcomes of an investment project

6 Methods of Describing Project Risk
Sensitivity Analysis: a means of identifying the project variables which, when varied, have the greatest effect on project acceptability. Break-Even Analysis: a means of identifying the value of a particular project variable that causes the project to exactly break even. Scenario Analysis: a means of comparing a “base case” to one or more additional scenarios, such as best and worst case, to identify the extreme and most likely project outcomes.

7 Sensitivity Analysis – Example 10.1
Transmission-Housing Project by Boston Metal Company New investment = $125,000 Number of units = 2,000 units Unit Price = $50 per unit Unit variable cost = $15 per unit Fixed cost = $10,000/Yr Project Life = 5 years Salvage value = $40,000 Income tax rate = 40% MARR = 15%

8 Example 10.1 - After-tax Cash Flow for BMC’s Transmission-Housings Project – “Base Case”
1 2 3 4 5 Revenues: Unit Price 50 Demand (units) 2,000 Sales revenue $100,000 Expenses: Unit variable cost $15 Variable cost 30,000 Fixed cost 10,000 Depreciation 17,863 30,613 21,863 15,613 5,575 Taxable Income $42,137 $29,387 $38,137 $44,387 $54,425 Income taxes (40%) 16,855 11,755 15,255 17,755 21,770 Net Income $25,282 $17,632 $22,882 $26,632 $32,655

9 (Example 10.1, Continued) 1 2 3 4 5 Cash Flow Statement
1 2 3 4 5 Operating activities Net income 25,282 17,632 22,882 26,632 32,655 Depreciation 17,863 30,613 21,863 15,613 5,575 Investment activities Investment (125,000) Salvage 40,000 Gains tax (2,611) Net cash flow ($125,500) $43,145 $48,245 $44,745 $42,245 $75,619

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11 Example 10.1 - Sensitivity Analysis for Five Key Input Variables
Deviation -20% -15% -10% -5% 0% 5% 10% 15% 20% Unit price $57 $9,999 $20,055 $30,111 $40,169 $50,225 $60,281 $70,337 $80,393 Demand 12,010 19,049 26,088 33,130 40,169 47,208 54,247 61,286 68,325 Variable cost 52,236 49,219 46,202 43,186 37,152 34,135 31,118 28,101 Fixed cost 44,191 43,185 42,179 41,175 39,163 38,157 37,151 36,145 Salvage value 37,782 38,378 38,974 39,573 40,765 41,361 41,957 42,553 Base

12 Sensitivity graph – BMC’s transmission-housings project (Example 10.1)
$100,000 90,000 Unit Price 80,000 70,000 Demand 60,000 50,000 Salvage value 40,000 Base Fixed cost 30,000 Variable cost 20,000 10,000 -10,000 -20% -15% -10% -5% 0% 5% 10% 15% 20%

13 Example 10.2 - Sensitivity Analysis for Mutually Exclusive Alternatives

14 Capital (Ownership) Cost
Electrical power: CR(10%) = ($30,000 - $3,000)(A/P, 10%, 7) + (0.10)$3, = $5,845 LPG: CR(10%) = ($21,000- $2,000)(A/P, 10%, 7) + (0.10)$2, = $4,103 Gasoline: CR(10%) = ($20,000-$2,000)(A/P, 10%, 7) + (0.10) $2, = $3,897 Diesel fuel: CR(10%) = ($25,000 -$2,200)(A/P, 10%, 7) +(0.10) $2, = $4,903

15 Annual O&M Cost Electrical power: $500 + (1.60 + 5)M = $500 + 6.6M
LPG: $1,000 + (12 + 6)M = $1,000 + 18M Gasoline: $800 + (13.2 + 7)M = $800  M Diesel fuel: $1,500 + (7.7 + 9)M = $1,500 + 16.7M

16 Annual Equivalent Cost
Electrical power: AE(10%) = 6,345 + 6.6M LPG: AE(10%) = 5,103 + 18M Gasoline: AE(10%) = 4,697  M Diesel fuel: AE(10%) = 6,403 + 16.7M

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18 Break-Even Analysis Excel using a Goal Seek function
Analytical Approach

19 Excel Using a Goal Seek Function
NPW Breakeven Value Demand

20 Goal Seek Function Parameters

21 Analytical Approach Unknown Sales Units (X)
1 2 3 4 5 Cash Inflows: Net salvage 37,389 X(1-0.4)($50) 30X 0.4 (dep) 7,145 12,245 8,745 6,245 2,230 Cash outflows: Investment -125,000 -X(1-0.4)($15) -9X -(0.6)($10,000) -6,000 Net Cash Flow 21X + 1,145 21X + 6,245 2,745 245 33,617

22  PW of cash inflows PW(15%)Inflow= (PW of after-tax net revenue) + (PW of net salvage value) + (PW of tax savings from depreciation = 30X(P/A, 15%, 5) + $37,389(P/F, 15%, 5) $7,145(P/F, 15%,1) + $12,245(P/F, 15%, 2) + $8,745(P/F, 15%, 3) + $6,245(P/F, 15%, 4) + $2,230(P/F, 15%,5) = 30X(P/A, 15%, 5) + $44,490 = X + $44,490

23  PW of cash outflows: PW(15%)Outflow = (PW of capital expenditure_ + (PW) of after-tax expenses = $125,000 + (9X+$6,000)(P/A, 15%, 5) = X + $145,113  The NPW: PW (15%) = X + $44,490 - ( X + $145,113) = X - $100,623.  Breakeven volume: PW (15%) = X - $100,623 = 0 Xb =1,430 units.

24 Demand PW of inflow Outflow NPW X X - $44,490 X + $145,113 X -$100,623 $44,490 $145,113 100,623 500 94,773 160,198 65,425 1000 145,055 175,282 30,227 1429 188,197 188,225 28 1430 188,298 188,255 43 1500 195,338 190,367 4,970 2000 245,620 205,452 40,168 2500 295,903 220,537 75,366

25 Break-Even Analysis Chart
$350,000 300,000 250,000 200,000 150,000 100,000 50,000 -50,000 -100,000 Inflow Break-even Volume Profit PW (15%) Outflow Loss Xb = 1430 Annual Sales Units (X)

26 Scenario Analysis Variable Considered Worst- Case Scenario
Most-Likely-Case Best-Case Unit demand 1,600 2,000 2,400 Unit price ($) 48 50 53 Variable cost ($) 17 15 12 Fixed Cost ($) 11,000 10,000 8,000 Salvage value ($) 30,000 40,000 50,000 PW (15%) -$5,856 $40,169 $104,295


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