There are two different scenarios that need to be tested. The first scenario has the $170 selling price and fixed costs of $20 million. Using these inputs, the first step is to calculate the estimated profit under each scenario.
Demand Price VC FC Profit Probability 150000 170 4500000 20000000 1000000 0.25 250000 180000 170 5400000 20000000 5200000 0.5 2600000 200000 170 6000000 20000000 8000000 0.25 2000000 4850000 Est. Profit The second scenario has fixed costs of $25 million, but a higher selling price of $200. These changes need to be made to the calculation. The demand and probabilities do not change, nor does the variable cost associated with producing the good. Under the second strategy, the results are as follows:
Demand Price VC FC Profit Probability 150000 200 4500000 25000000 500000 0.25 125000 180000 200 5400000 25000000 5600000 0.5 2800000 200000 200 6000000 25000000 9000000 0.25 2250000 5175000 Est. Profit This analysis shows that the second strategy has the higher expected profit.
Under either scenario, there is a 75% chance that the company will achieve the $4 million target profit. When demand is 150,000, then the profit is going to be below the $4 million mark in either case. There is a 25% that the demand will be 150,000. There is a 75% chance that the demand is going to be 180,000 or higher. At 180,000 or higher, the company would generate a profit in excess of $4 million under either scenario. Therefore, there is a 75% chance that the company is
If the company decided to sell the new product at price of D.Cr. 8.20, that means the full fixed expense of 1.20 is covered and the company will make high profit. However, the selling price of D.Cr. 8.20 is very high and under this price the company will sell the new product at a lower volume than what the company planned sale volume in the budget and that will affect the company in the market as a strong competitor in the food manufacturing. According to the case, the company sales volume drop to 30 tons when the product was sold at the price of D.Cr. 8.2. Thus, my recommendation are as follows:
Breakeven Analysis for Product Tylenol Approach 1 - Same price as Tylenol Approach 2a - Cheaper than Tylenol Approach 2b - Cheaper w/lowered trade cost $ $ $ $ Unit Cost (Variable Cost) 0.60 0.60 0.60 0.60 Trade Cost (Selling Price to Retailers) $ 1.69 $ 1.69 $ 1.05 $ 0.70 Fixed Cost (Advertising) 2,000,000 6,000,000 6,000,000 6,000,000 Break-Even Quantity [Fixed Cost/(Trade Cost-Unit Cost)] 1,834,862 5,504,587 13,333,333 60,000,000 Contribution Margin (Unit) 64% 64% 43% 14%
In the worst case scenario, we assume there is a 5% fluctuation in unit sale price and unit variable
The rise in revenue was rapid starting from the year of operations. The key period of business was from April to September were revenues were equal to 65% of total revenue as the product was seasonal. The basis of forecasting for the year 1981 & 1982 is the expectations of sales by Mr. Turner & Mr. Rose. It is given that total sales were $ 15.80 million in first half of year 1981 and the total sales in 1981 to reach $ 30 million. Profit after tax was expected to be $ 1 million for 1st half and we assumed for the next half, profit will be in proportion to first half & expected to be amounting to $ 0.90 million. For year 1982, the sales expectation by Mr. Rose was around more than $ 71 million &
1. a. The simulation indicates that 584 is the optimum stocking quantity. Daily profit at this stocking quantity is $331.4346.
The budget analysis shows that the labor hours of the firm are higher than the budgeted amount. As such, the firm needs to evaluate the cost benefit analysis of making or buying their products. To make this decision, various factors need to be considered. Before making the decision, Peyton needs to evaluate the marginal costs and revenue of making versus buying the products. The firm should take the option which provides the highest marginal profit which is the
* If we surmise that the company’s specialist’s predictions of 4% on market growth along with renewing current and or adding more customer contracts then the profits should be as follows:
Assume that next year management wants the company to earn a minimum profit of $162,000. How many units be sold to meet this target profit figure? [3 points]
In our second assumption, instead of using the cost of goods per cases in 1986, we try to use the percentage it counts in the total expenses which is 50.4% and to find the sales needed to break-even. The detail of the calculation is shown in the answer for questions d. The result is that 95,635, a little bit higher than the estimated sales of 90,000.
Total Sales Dollars (for covering each incremental dollar of advertising) = $200,000 / $150,000 = $1.33
* Use the profit maximization rule MR = MC to determine your optimal price and optimal output level now that you have market power. Compare these values with the values you generated in Assignment 1. Determine whether your price higher is or lower.)
C. Using a table to compare the difference between problem #1 and problem #2, respectively, we can see the obvious differences between the optimal stocking quantity and daily expected profit figures.
1) a. Sheen should stock the optimal stocking quantity in this situation, which is 584 newspapers. The expected profit at this stocking quantity is $331.44. b. Q= µ+Φ-1(Cu/(Cu+C0))δ Q=500+ Φ-1(.8/(.2+.8))100 Q=500+(..7881)(100) Q=579 This is off by 5 newspapers from the model given in the spreadsheet, which results in a $.03 difference in profits. 2) a. With the opportunity cost of her time per hour being equal to $10, Sheen should invest 4 hours daily into the creation of the profile section. This would raise here optimal stocking quantity to 685 newspapers and would increase her expected daily profit to $371.33. b. Sheen’s choice of effort level, h, to be 4 hours was chosen because, in order to maximize profit, she would need an effort
setup cost of $200, and an annual holding cost per unit of $10. Suppose that the firm operates 300
The cost-volume-profit analysis (CVP) is used to help companies determine breakeven points and pricing for their products. It is a "method of cost accounting 在ased on determining the breakeven point of cost and volume of goods" and is "useful for managers making short-term economic decisions" (Investopedia, 2013).