Case. 15.1. Ski Jacket Production. Egress, Inc., is a small company that designs, produces, and sells ski jackets and other coats. The creative design team has labored for weeks over its new design for the coming winter season. It is now time to decide how many ski jackets to produce in this production run. Because of the lead times involved, no other production runs will be possible during the season. Predicting ski jacket sales months in advance of the selling season can be quite tricky. Egress has been in operation for only three years, and its ski jacket designs were quite successful in two of those years. Based on realized sales from the last three years, current economic conditions, and professional judgment, 12 Egress employees have independently estimated demand for their new design for the upcoming season. Their estimates are listed in Table 15.2 To assist in the decision on the number of units for the production run, management has gathered the data in Table 15.3. Note that S is the price Egress charges retailers. Any ski jackets that do not sell during the season can be sold by Egress to discounters for V per jacket. The fixed cost of plant and equipment is F. This cost is incurred regardless of the size of the production run. Questions: 1. Egress management believes that a normal distribution is a reasonable model for the unknown demand in the coming year. What mean and standard deviation should Egress use for the demand distribution? 2. Use a spreadsheet model to simulate 1000 possible outcomes for demand in the coming year. Based on these scenarios, what is the expected profit if Egress produces Q=7800 ski jackets? What is the expected profit if Egress produces Q=12,000 ski jackets? What is the standard deviation of profit in these two cases? 3. Based on the same 1000 scenarios, how many ski jackets should Egress produce to maximise expected profit? Call this quantity Q. 4. Should Q equal mean demand or not? Explain. 5. Create a histogram of profit at the production level Q. Create a histogram of profit when the production level Q equals mean demand. What is the probability of a loss greater than $100,000 in each case? 15.2. Estimated Demands 14000 16000 13000 8000 14000 5000 14000 11000 15500 8000 10500 15000 Table 15.3. Monetary Values Variable production cost per unit ©: $80 Selling price per unit (S): $100 Salvage value per unit (V): $30 Fixed production cost (F): $100,000
Case. 15.1. Ski Jacket Production. Egress, Inc., is a small company that designs, produces, and sells ski jackets and other coats. The creative design team has labored for weeks over its new design for the coming winter season. It is now time to decide how many ski jackets to produce in this production run. Because of the lead times involved, no other production runs will be possible during the season. Predicting ski jacket sales months in advance of the selling season can be quite tricky. Egress has been in operation for only three years, and its ski jacket designs were quite successful in two of those years. Based on realized sales from the last three years, current economic conditions, and professional judgment, 12 Egress employees have independently estimated demand for their new design for the upcoming season. Their estimates are listed in Table 15.2 To assist in the decision on the number of units for the production run, management has gathered the data in Table 15.3. Note that S is the price Egress charges retailers. Any ski jackets that do not sell during the season can be sold by Egress to discounters for V per jacket. The fixed cost of plant and equipment is F. This cost is incurred regardless of the size of the production run. Questions: 1. Egress management believes that a
| 15.2. Estimated Demands | |
| 14000 | 16000 |
| 13000 | 8000 |
| 14000 | 5000 |
| 14000 | 11000 |
| 15500 | 8000 |
| 10500 | 15000 |
|
Table 15.3. Monetary Values |
|
| Variable production cost per unit ©: | $80 |
| Selling price per unit (S): | $100 |
| Salvage value per unit (V): | $30 |
| Fixed production cost (F): | $100,000 |
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