Harley, an ice-cream vendor, purchases each pint of ice-cream for $7 and sells for $20 each. At the end of the week, the unsold ice-cream can be salvaged for $2 each. From past experience, Harley has estimated the sales probabilities as below. What is the optimal number of pints Harley should purchase? Number of Ice-creams Sold, Probability 1 = 0.05, 2 = 0.1, 3 = 0.2 , 4 = 0.25, 5 = 0.15, 6 = 0.1, 7 = 0.08, 8 = 0.07
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Harley, an ice-cream vendor, purchases each pint of ice-cream for $7 and sells for $20 each. At the end of the week, the unsold ice-cream can be salvaged for $2 each. From past experience, Harley has estimated the sales probabilities as below. What is the optimal number of pints Harley should purchase?
Number of Ice-creams Sold, Probability 1 = 0.05, 2 = 0.1, 3 = 0.2 , 4 = 0.25, 5 = 0.15, 6 = 0.1, 7 = 0.08, 8 = 0.07
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- 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.The Tinkan Company produces one-pound cans for the Canadian salmon industry. Each year the salmon spawn during a 24-hour period and must be canned immediately. Tinkan has the following agreement with the salmon industry. The company can deliver as many cans as it chooses. Then the salmon are caught. For each can by which Tinkan falls short of the salmon industrys needs, the company pays the industry a 2 penalty. Cans cost Tinkan 1 to produce and are sold by Tinkan for 2 per can. If any cans are left over, they are returned to Tinkan and the company reimburses the industry 2 for each extra can. These extra cans are put in storage for next year. Each year a can is held in storage, a carrying cost equal to 20% of the cans production cost is incurred. It is well known that the number of salmon harvested during a year is strongly related to the number of salmon harvested the previous year. In fact, using past data, Tinkan estimates that the harvest size in year t, Ht (measured in the number of cans required), is related to the harvest size in the previous year, Ht1, by the equation Ht = Ht1et where et is normally distributed with mean 1.02 and standard deviation 0.10. Tinkan plans to use the following production strategy. For some value of x, it produces enough cans at the beginning of year t to bring its inventory up to x+Ht, where Ht is the predicted harvest size in year t. Then it delivers these cans to the salmon industry. For example, if it uses x = 100,000, the predicted harvest size is 500,000 cans, and 80,000 cans are already in inventory, then Tinkan produces and delivers 520,000 cans. Given that the harvest size for the previous year was 550,000 cans, use simulation to help Tinkan develop a production strategy that maximizes its expected profit over the next 20 years. Assume that the company begins year 1 with an initial inventory of 300,000 cans.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.
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- A manager is quite concerned about the recent deterioration of a section of the roof on a building that houses her firm's computer operations. According to her assistant there are three options which merit consideration: I, II, and III. Moreover, there are three possible future conditions that must be included in the analysis: A, which has a probability of occurrence of .25; B, which has a probability of .6; and C, which has a probability of .15. If condition A materializes, I will cost $12,000, II will cost $20,000, and III will cost $16,000. If condition B materializes, the costs will be $15,000 for I, $18,000 for II, and $14,000 for III. If condition C materializes, the costs will be $10,000 for I, $15,000 for II, and $19,000 for III. (A) Draw a decision tree for this problem. (B) Using expected monetary value, which alternative should be chosen?Option 2: Raise prices by 50%. If this occurs, there is a 75% chance that an Entrepreneur will set up in competition this year. The board’s estimate of its annual profit in this situation would be as follows: 2A: With new competitor 2B: Without new competitor Probability Profit (Sh.) Probability Profit (Sh.) 0.25 150,000 0.5 200,000 0.5 120,000 0.3 150,000 0.25 80,000 0.2 100,000 Option 3: Expand the car park quickly at a cost of Sh. 50,000 keeping prices theSame. The profits are then estimated to be like 2B above, except that the probabilities would be 0.6, 0.3 and 0.1 respectively. Required: Draw a decision tree for the above problem, including all the relevant data. Using expected values analyze the decision tree and recommend the best option to the owners of the car park.Swell Productions is sponsoring an outdoor conclave for owners of collectible and classic Fords. The concession stand in the T-Bird area will sell clothing such as T-shirts and official Thunderbird racing jerseys. Jerseys are purchased from Columbia Products for $40 each and are sold during the event for $75 each. If any jerseys are left over, they can be returned to Columbia for a refund of $30 each. Jersey sales depend on the weather, attendance, and other variables. The following table shows the probability of various sales quantities. How many jerseys should Swell Productions order from Columbia for this one-time event?Sales Quantity Probability Quantity Sales Probability100 0.05 400 0.34200 0.11 500 0.11300 0.34 600 0.05
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