Hamptonshire Express Case Essay

1. a. The simulation indicates that 584 is the optimum stocking amount of money. Daily service at this stocking bar is $331.4346. b. utilize the newsvendor model, Cu = 1 0.2 = 0.8 and Co = .2. Cu /(Cu + Co) = .8. Using the spreadsheet, we found Q* = NORM.INV(.8,500,100) = 584.16. The simulation and newsvendor model give the same best stocking beat.2. a. According to the simulation spreadsheet, 4 hours of investment in creation maximizes daily gather at $371.33. b. Sheen would choose an effort level where the borderline benefit gained by the effort is equal to her peripheral cost of spending the effort. To calculate the effort level, h, we equalize marginal cost and marginal benefit. hither (.8 * 50) / (2h) = 10. Solving gives h = 4, or the same as the simulation. c. The best put on derived in this scenario is $371.33 per day, which is a $40 increase from the profit derived in worry 1, of $331.43.3. a. Using the spreadsheet, Ralphs optimal stocking quantity to maximize his profit is 516. b. The optimal stocking quantity differs from problem 2 because Ralph is incurring the cost of overstocking, which changes the critical proportionality from .8 in problem 2 to .2. Because of the critical ratio change, Annas profit flows as Ralphs increases. This is consistent with the Newsvendor Model, which gives Cu=.2, Co=.8, for a critical ratio of .2. Using the formula in the spreadsheet, Q*=NORM.INV(.2,600,100)=515.837, gives the optimal stocking quantity of 516.c. Assuming that we only use whole numbers for her amount of time, Annas optimal effort is 2 hours with a profit of $261.93, a decrease from problem 2 of 4 hours. This is because Anna is now sharing her profit. d. If you decrease the tape drive footing, Annas effort level also decreases, and Ralph will increase his stocking quantity, adding to his profit. Annas effort level decreases because her profit decreases when Ralph buys the newspapers for less than $0.80. When the transfer scathe increase s, the resistance occurs Annas effort level increases and there is a decrease in Ralphs stocking quantity and profit.4. a. The optimal stocking quantity is 409 according to the spreadsheet in the simulation, which is a decrease from 516 in problem 3 because in the event that the demonstrate stocks out, Ralph still makes a profit from 40% ofcustomers who will buy the Private. Therefore, because he makes more profit off of the Private, his risk decreases because of cost of under(a)stocking of the Express. b. For problems 1 and 2 there were no paid alternatives to understocking, whereas in problem 3, Ralph has a profitable alternative for understocking since 40% of customers will buy the Private.The different critical ratios from each problem produce a different optimal stocking quantity. c. This decreases his optimal stocking quantity because Ralph is allocating $0.03 to the cost of each newspaper, making his cost of understocking now 1-.83-40%*.4=.01. Co=.83 tiny ratio 0.01/.83= 0.012 According to the data, the optimal stocking quantity is Q*=NORMINV(.012,500,100).5. a. A dispirit buy-back impairment means a lower stocking quantity, because it affects the cost of overstocking. Ralph wants to stock a lower quantity in order to lower his risk of overstocking. The optimal buy-back price is $0.75, which gives a stocking quantity of 659 and channel profits of $369.80. b. The optimal transfer price is $0.99, giving a buy-back price of $0.988, and channel profits of $372.62. However, this is an unrealistic scenario because Ralphs profits are negative at -$24 and Anna is making just about the full $1 price on each sale.The channel profit is very close to the $371.33 profit from problem 2. This is because the transfer price is near the same as the selling price to customers of $1, eliminating Annas cost of under or overstocking. c. If Ralph had to pay a franchise fee, he would no yearner have an incentive to understock. Annas effort would remain the same becaus e the marginal benefit of her effort would not change given the additional firm profit from Ralphs fee.