Engineering Economy (17th Edition)
17th Edition
ISBN: 9780134870069
Author: William G. Sullivan, Elin M. Wicks, C. Patrick Koelling
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Question
Chapter 12, Problem 8P
To determine
Calculate the expected annual cost.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
The owner of a ski resort is considering installing a new ski lift that will cost $900,000. Expenses for operating andmaintaining the lift are estimated to be $1,500 per day when operating. The U.S. Weather Service estimates thatthere is a 60% probability of 80 days of skiing weather per year, a 30% probability of 100 days per year, and a 10% probability of 120 days per year. The operators of the resort estimate that during the first 80 days of adequate snow in a season, an average of 500 people will use the lift each day, at a fee of $10 each. If 20 additional days are available, the lift will be used by only 400 people per day during the extra period; and if 20 more days of skiing are available, only 300 people per day will use the lift during those days. The owners wish to recover any invested capital within five years and want at least a 25% per year rate of return before taxes. Based on a before-tax analysis, should the lift be installed?
Three alternative insulations are being considered for installation on a machine part. After the initial installation, if the insulation fails in any future year, it is replaced by
an identical one at a cost lower than the initial cost. The costs and probabilities of failure in any year are given in the table below.
Insulation
thickness
2 inches
3 inches
6 inches
Initial
installation cost
$900
$1,200
$1,800
Probability of failure
in any given year
26.7%
14.4%
6.32%
Replacement cost anytime
insulation fails in future
$600
$800
$1,200
If the analysis period is infinte (i.e, N = infinity), calculate the expected EUAC of the 2-inch insulation. The MARR is 11% per year.
OA. $414
O B. $259
O C. $104
O D. $155
A 28- year- old man pays $158 for one year life insurance policy
with coverage of $110,000. If the probability he will live through
the
year is 0.9994, what is the expected value for the insurance
policy?
Chapter 12 Solutions
Engineering Economy (17th Edition)
Ch. 12 - Prob. 1PCh. 12 - Prob. 2PCh. 12 - A new snow making machine utilizes technology that...Ch. 12 - Prob. 4PCh. 12 - Prob. 5PCh. 12 - Prob. 6PCh. 12 - Prob. 7PCh. 12 - Prob. 8PCh. 12 - Prob. 9PCh. 12 - Prob. 10P
Ch. 12 - Prob. 11PCh. 12 - Prob. 12PCh. 12 - Prob. 13PCh. 12 - Prob. 14PCh. 12 - Prob. 15PCh. 12 - Prob. 16PCh. 12 - Prob. 17PCh. 12 - Prob. 18PCh. 12 - Prob. 19PCh. 12 - Prob. 20PCh. 12 - Prob. 21PCh. 12 - Prob. 22PCh. 12 - If the interest rate is 8% per year, what decision...Ch. 12 - Prob. 24PCh. 12 - Prob. 25PCh. 12 - Prob. 26SE
Knowledge Booster
Similar questions
- Landberg Inc. is considering a project which would require a $1.85 million after-tax investment today (t = 0). The after-tax cash flows the factory generates will depend on whether the state imposes a new property tax. There is a 45% probability that the tax will pass. If the tax passes, the factory will produce after-tax cash flows of $40,000 at the end of each of the next 5 years. There is a 55% probability that the tax will not pass. If the tax does not pass, the factory will produce after-tax cash flows of $800,000 for the next 5 years. The project has a WACC of 10%. If the factory is unsuccessful, the firm will have the option to abandon the project 1 year from now if the tax passes. If the factory project is abandoned, the firm will receive the expected $40,000 cash flow at t = 1, and the property will be sold netting $900,000 (after taxes are considered) at t = 1. Once the project is abandoned, the company would no longer receive any cash inflows from it. What is the project's…arrow_forwardThe probabilities that the life of a machine will vary from 6 to 12 years are given in the table below. The expected life of the machine is ____________. Life , Years 6 7 8 9 10 11 12 Probability 0.10 0.15 0.25 0.15 0.20 0.10 0.05arrow_forwardAnnual savings due to an energy efficiency project have a most likely value of $30,000.The high estimate of $40,000 has a probability of 0.2, and the low estimate of $20,000has a probability of 0.30. What is the expected value for the annual savings?arrow_forward
- Guy Fieri has purchased a significant plot of land in Northwest Ohio for his newest venture: FlavorTownship. This hub for mind-boggling flavor and entertainment is a strictly for-profit operation. Guy would like to keep Flavor Township open all year-round, but due to Ohio weather the following are the probabilities of when it will be open: |- 30% chance it is open 300 days a year |- 55% chance it is open 325 days a year |- 15% chance it is open 350 days a year Flavor Township will expect to host 14,000 people each day that it is open and expects an average revenue of $45 per visitor. This paradigm-shifting landmark will cost $420,000,000 to start the investment and will require annual costs (food, employees, etc.) of $115,000,000. Every 3 years, Flavor Township will undergo necessary maintenance that will cost $22,000,000. If the expected life of Flavor Township is 15 years and a 16% return is expected, what is the expected NPV of this project?arrow_forwardBecause of bad weather, the number of days next week that the captain of a charter fishing boat can leave port is uncertain. The following probability distribution for the number of days that the boat is able to leave port per week was determined based on historical data when the weather was poor: The number of days the boat can leave port per week 0 1 2 3 5 6 7 Probability 2.85 4.05 3.55 3.50 0.20 0.05 0.05 0.05 0.15 0.10 0.15 0.25 Based on the probability distribution, what is the expected number of days per week the captain can leave port. Group of answer choices 4.00arrow_forwardA new product’s sales and profits are uncertain. The marketing department has predicted that sales might be as high as 9000 units per year with a probability of 15%. The most likely value is 6000 units annually. The pessimistic value is estimated to be 3500 units annually with a probability of 25%. Manufacturing and marketing together have estimated the most likely unit profit to be $33. The pessimistic value of $26 has a probability of 0.25, and the optimistic value of $37 has a probability of 0.3. Construct the probability distributions for sales and unit profits.arrow_forward
- A company that manufactures and sells T-shirts for sporting events, is providing shirts for an upcoming tournament. Each shirt will cost $7 to produce and will be sold for $13. Any unsold shirts at the end of the tournament can be sold for $5 apiece in the near future. The company assumes the demand for the shirts will be 1,500,3,000,4,500, or 6,000. The company also estimates that the probabilities of each of these sales levels occurring will be 20%, 25%,25%, and 30%, respectively. Determine the expected monetary value of the project if the company chooses to print 4,500 shirts for the tournament. The expected monetary value is---- (Type a whole number.)arrow_forwardSt. John's Brewery (SJB) is getting ready for a busy tourist season. SJB wants to either increase production or produce the same amount as last year, depending on the demand level for the coming season. SJB estimates the probabilities for high, medium and low demands as 0.32, 0.31, and 0.37 respectively, on the basis of the number of tourists forecasted by the local recreational bureau. If SJB increases production, the expected profits corresponding to high, medium and low demands are $800,000, $400,000 and $100,000 respectively. If SJB does not increase production, the expected profits are $550,000, $325,000 and $200,000 respectively. (NOTE: Text answers are case sensitive and the value of different parts of this question is indicated in square brackets [*/*]) Construct a decision tree for SJB. On the basis of the EV, what should SJB do? What is the expected value of increasing production? What is the expected value of not increasing production? Should SJB increase production (enter…arrow_forwardThe probability distribution for damage claims paid by the Newton Automobile Insurance Company on collision insurance is shown as follows: there is a 62% chance there won't be a claim ($0), a 11% chance of a $1000 claim, a 8% chance of a $2700 claim, and otherwise, the claim will be $9000. What is the expected value of an insurance claim for this company? (please express your answer using 2 decimal places).arrow_forward
- using 'standard Normal Table ' , calculate the following probabilities. 1. Pr(z < -1.12) 2. Pr(z >2.32) 3.pr(1.22 < z >2.53) 4.pr(-3.22 < z < 0.22) 5.pr(-2.36 < z < -0.50)arrow_forwardProblem 1. A new edition of a very popular textbook will be published a year from now. The publisher currently has 2000 copies on hand and is deciding whether to do another printing before the new edition comes out. The publisher estimates that demand for the book during the next year is governed by the probability distribution on the image . A production run incurs a fixed cost of $10,000 plus a variable cost of $15 per book printed. Books are sold for $130 per book. Any demand that cannot be met incurs a penalty cost of $20 per book, due to loss of goodwill. Up to 500 of any leftover books can be sold to Barnes & Noble for $35 per book. The publisher is interested in maximizing expected profit. The following print- run sizes are under consideration: 0 (no production run) to 16,000 in increments of 2000. What decision would you recommend? Use simulation with 1000 replications. For your optimal decision, the publisher can be 90% certain that the actual profit associated with…arrow_forwardA bakery would like you to recommend how many loaves of its famous marble rye bread to bake at the beginning of the day. Each loaf costs the bakery $2.00 and can be sold for $7.00. Leftover loaves at the end of each day are donated to charity. Research has shown that the probabilities for demands of 25, 50, and 75 loaves are 30%, 20%, and 50%, respectively. Make a recommendation for the bakery to bake 25, 50, or 75 loaves each morning. Find the expected monetary value when baking 25 loaves. EMV=$(Type an integer or a decimal.) Find the expected monetary value when baking 50 loaves. EMV = $(Type an integer or a decimal.) Find the expected monetary value when baking 75 loaves. EMV = $ (Type an integer or a decimal.) Make a recommendation for the bakery to bake 25, 50, or 75 loaves each morning. The bakery should bake loaves of bread every morning. O 25 50 75 Earrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Managerial Economics: A Problem Solving ApproachEconomicsISBN:9781337106665Author:Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike ShorPublisher:Cengage Learning
Managerial Economics: A Problem Solving Approach
Economics
ISBN:9781337106665
Author:Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike Shor
Publisher:Cengage Learning