In: Operations Management
Apple is considering marketing one of two new smartphones for the coming holiday season: iPhone 8 and iPhone X. Estimated profits in total USD under high, medium, and low demand are as follows:
| iPhone X | High | Medium | Low | 
| Profit | $3,200,000,000 | $2,500,000,000 | $1,750,000,000 | 
| Probability | 0.225 | 0.5 | 0.275 | 
There is concern that profitability will be affected by a Google's introduction of the Pixel 2 smartphone viewed as similar to the iPhone 8. Estimated profits in total USD with and without competition are as follows:
| With Competition (iPhone 8) | High | Medium | Low | 
| Profit | $1,250,000,000 | $800,000,000 | $600,000,000 | 
| Probability | 0.2 | 0.5 | 0.3 | 
| Without Competition (iPhone 8) | High | Medium | Low | 
| Profit | $2,000,000,000 | $1,250,000,000 | $800,000,000 | 
| Probability | 0.45 | 0.35 | 0.2 | 
a. Develop a decision tree for the Apple problem.
b. For planning, Apple believes there is a 0.99 probability that its competitor will produce a new smartphone similar to the iPhone 8. Given this probability of competition, the director of planning in Cupertino recommends spending the ad dollars and heavily marketing the iPhone X smartphone. Using expected value, what is your recommended decision?
c. Show a risk profile for your recommendation.
d. Use sensitivity analysis to determine what the probability of competition for iPhone 8 would have to be for you to change your recommended decision alternative.
(a)

(b)
The expected value of iPhone X is $2,451,250,000 which is the highest. So, the optimal decision is to market iPhone X and not iPhone 8.
(c)
Risk profile

(d)
Using Excel's datatable option,
| Probability of competition | Expected payoff (iPhone 8)  | 
| 0.99 | 836.675 | 
| 0.90 | 896.75 | 
| 0.81 | 956.825 | 
| 0.72 | 1016.9 | 
| 0.63 | 1076.975 | 
| 0.54 | 1137.05 | 
| 0.45 | 1197.125 | 
| 0.36 | 1257.2 | 
| 0.27 | 1317.275 | 
| 0.18 | 1377.35 | 
| 0.09 | 1437.425 | 
| 0 | 1497.5 | 
Therefore, it is very clear that for none of the probability values, iPhone 8 will be an optimal option because for all cases the expected values are less than 2451.25.