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2) (10 pts) You are the operations director for Apple, and have to make decisions about the next- generation iPhone 9 that you are developing and hope to release in late 2020. Let's put all of your operations skills together to figure out how to succeed here. First, let's look at some actual company data: Year iPhone sales (# of phones) 2014 125,000,000 2015 150,000,000 2016 169,000,000 2017 231,000,000 2018 212,000,000 Cost of making iPhones: a. material cost: $220/phone in components, b. labor costs $5/phone for worker assembly, c. overhead costs: the company also spends $15 million per year for electricity, $60 million per year for factories, and $500 million per year in research and development (R&D). a) What was Apple's iPhone productivity in 2018? b) By what % would productivity increase if your supply chain team reduced per-phone component costs by $10? 3) (20 pts) If you used a two-year moving average on the data from Question 2, how many iPhone's would you expect to sell in 2019? What is the MAD for this forecasting method? b) If you used a 3-year weighted moving average, how many iPhones would you expect to sell in 2019 if you assign weights of 20%, 30%, and 50% with the higher weights assigned to more recent forecasts? c) Between 2-year moving average and 3-year weighted moving average, which method would you choose, and why? d) There are other forecasting methods different from (a) and (b) above. Describe one, along with an advantage and disadvantage of using that method here