Consider the decision tree below. You are at the starting decision node DO (shown in the orange color). Assume all paths and decisions occur within a 1-year time horizon, so that no discounting is necessary. There are dollar investments, as shown, required at decision nodes D1 and D2. Which of the letters (shown in the red color) represents the optimal path maximizing the expected outcome value? Value, $ A 30 0.9 D3 Investment 0.4 100 $-50 0.1 0.6 -50 DI S-80 500 90 0.1 D1 500 $-80 90 Value $ 0.3 150 S-25 0.3 -30 0.4 75 0.5 200 D2 S-30- E 0.5 -100 $-35 50 O a. A O b. B O c. C O d. D O e. E O f. F
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- A common decision is whether a company should buy equipment and produce a product in house or outsource production to another company. If sales volume is high enough, then by producing in house, the savings on unit costs will cover the fixed cost of the equipment. Suppose a company must make such a decision for a four-year time horizon, given the following data. Use simulation to estimate the probability that producing in house is better than outsourcing. If the company outsources production, it will have to purchase the product from the manufacturer for 25 per unit. This unit cost will remain constant for the next four years. The company will sell the product for 42 per unit. This price will remain constant for the next four years. If the company produces the product in house, it must buy a 500,000 machine that is depreciated on a straight-line basis over four years, and its cost of production will be 9 per unit. This unit cost will remain constant for the next four years. The demand in year 1 has a worst case of 10,000 units, a most likely case of 14,000 units, and a best case of 16,000 units. The average annual growth in demand for years 2-4 has a worst case of 7%, a most likely case of 15%, and a best case of 20%. Whatever this annual growth is, it will be the same in each of the years. The tax rate is 35%. Cash flows are discounted at 8% per year.If the number of competitors in Example 11.1 doubles, how does the optimal bid change?Assume the demand for a companys drug Wozac during the current year is 50,000, and assume demand will grow at 5% a year. If the company builds a plant that can produce x units of Wozac per year, it will cost 16x. Each unit of Wozac is sold for 3. Each unit of Wozac produced incurs a variable production cost of 0.20. It costs 0.40 per year to operate a unit of capacity. Determine how large a Wozac plant the company should build to maximize its expected profit over the next 10 years.
- It costs a pharmaceutical company 75,000 to produce a 1000-pound batch of a drug. The average yield from a batch is unknown but the best case is 90% yield (that is, 900 pounds of good drug will be produced), the most likely case is 85% yield, and the worst case is 70% yield. The annual demand for the drug is unknown, with the best case being 20,000 pounds, the most likely case 17,500 pounds, and the worst case 10,000 pounds. The drug sells for 125 per pound and leftover amounts of the drug can be sold for 30 per pound. To maximize annual expected profit, how many batches of the drug should the company produce? You can assume that it will produce the batches only once, before demand for the drug is known.You now have 10,000, all of which is invested in a sports team. Each year there is a 60% chance that the value of the team will increase by 60% and a 40% chance that the value of the team will decrease by 60%. Estimate the mean and median value of your investment after 50 years. Explain the large difference between the estimated mean and median.W. L. Brown, a direct marketer of womens clothing, must determine how many telephone operators to schedule during each part of the day. W. L. Brown estimates that the number of phone calls received each hour of a typical eight-hour shift can be described by the probability distribution in the file P10_33.xlsx. Each operator can handle 15 calls per hour and costs the company 20 per hour. Each phone call that is not handled is assumed to cost the company 6 in lost profit. Considering the options of employing 6, 8, 10, 12, 14, or 16 operators, use simulation to determine the number of operators that minimizes the expected hourly cost (labor costs plus lost profits).
- Six months before its annual convention, the American Medical Association must determine how many rooms to reserve. At this time, the AMA can reserve rooms at a cost of 150 per room. The AMA believes the number of doctors attending the convention will be normally distributed with a mean of 5000 and a standard deviation of 1000. If the number of people attending the convention exceeds the number of rooms reserved, extra rooms must be reserved at a cost of 250 per room. a. Use simulation with @RISK to determine the number of rooms that should be reserved to minimize the expected cost to the AMA. Try possible values from 4100 to 4900 in increments of 100. b. Redo part a for the case where the number attending has a triangular distribution with minimum value 2000, maximum value 7000, and most likely value 5000. Does this change the substantive results from part a?1. Explain the meaning of the expected value of perfect information (EVPI) in this problem. Based on the results of (iii) and (iv), which investment would you choose? 2. Compute the coefficient of variation, the return-to-risk ratio (RTRR) for each investment. Based on (vii) and (viii), what investment would you choose? Compare the results of (vi) and (ix) and explain any differencesConsider the decision tree'below. You are at the starting decision node DO (shown in the orange color). Assume all paths and decisions occur within a 1-year time horizon, so that no discounting is necessary. There are dollar investments, as shown, required at decision nodes D1 and D2. Which of the letters (shown in the red color) represents the optimal path maximizing the expected outcome value? Value, $ 30 0.9 D3 Investment 0.4 100 S-50 0.1 0.6 50 DI S-80 500 90 0.1 D1 500 $-80 90 Value $ 0.3 150 $-25 0.3 -30 0.4 75 0.5 200 D2 ES-30- 0.5 -100 $-35 50 O a. A O b. B O c. C O d. D O e. E O f. F
- Donald Harris received a windfall and needs to invest it for tax reasons. He went to his brother-in-law, Joe Harris, who is a financial advisor. Joe prepared a matrix that illustrated the possible returns on investment for different investment strategies under different economic conditions. That matrix is given below. Donald Harris reads the Wall Drive Journal and came across an article that stated that the probability that there would be a major downturn would be 10%; the probability of a downturn would be 30%; the probability of an upturn would be 40%; and that the probability of a major upturn would be 20%. Based on these numbers, what investment strategy should Donald Harris adopt? Future Air Traffic Strategies Major Downturn Downturn Upturn Major Upturn Contrarian 20% 10% 5% -15% Risk Averse 2% 4% 7% 10% Growth -10% -8% 13% 20% Aggressive -25% -20% 11% 35% Group of answer choicesMany decision problems have the following simplestructure. A decision maker has two possible decisions,1 and 2. If decision 1 is made, a sure cost of c isincurred. If decision 2 is made, there are two possibleoutcomes, with costs c1 and c2 and probabilities p and1 2 p. We assume that c1 , c , c2. The idea is thatdecision 1, the riskless decision, has a moderate cost,whereas decision 2, the risky decision, has a low costc1 or a high cost c2.a. Calculate the expected cost from the riskydecision.b. List as many scenarios as you can think of thathave this structure. (Here’s an example to get youstarted. Think of insurance, where you pay a surepremium to avoid a large possible loss.) For eachof these scenarios, indicate whether you wouldbase your decision on EMV or on expected utility.3-26 Megley Cheese Company is a small manufacturer of several different cheese products. One of the products is a cheese spread that is sold to retail outlets. Jason Megley must decide how many cases of cheese spread to manufacture each month. The probability that the demand will be six cases is 0.1, seven cases is 0.3, eight cases is 0.5, and nine cases is 0.1. The cost of every case is $45, and the price that Jason gets for each case is $95. Unfortunately, any cases not sold by the end of the month are of no value, due to spoilage. How many cases of cheese should Jason manufacture each month?