Company S runs a global supply chain and is required to supply to more than 17,000 stores. The coffeemaker L is sold to these stores which has steady sales. The coffeemaker’s sale is not seasonal; however, its demand fluctuates. Company S wants to estimate forecasts by using simple moving average or exponential smoothing. To compute: The number of sweaters to be ordered in the current year by using aggregate forecast and individual school forecast.

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Sales of tablet computers at Marika Gonzalez's electronics store in Washington, D.C., over the past 10 weeks are shown in the table below: Week 1 2 3 4 5 6 7 8 9 10 Demand 21 21 27 38 25 30 35 24 25 30 a) The forecast for weeks 2 through 10 using exponential smoothing with a = 0.50 and a week 1 initial forecast of 21.0 are (round your responses to two decimal places): Week 1 2 3 4 5 6 7 8 9 10 Demand 21 21 27 38 25 30 35 24 25 30 Forecast 21.0 21 21 24 31 28 29 32 28 26.50 b) For the forecast developed using exponential smoothing (a = 0.50 and initial forecast 21.0), the MAD = |||||sales (round your response to two decimal places).

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Chapter 20, Problem 3AE

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Case summary: Company S runs a global supply chain and is required to supply to more than 17,000 stores. The coffeemaker L is sold to these stores which has steady sales. The coffeemaker’s sale is not seasonal; however, its demand fluctuates. Company S wants to estimate forecasts by using simple moving average or exponential smoothing.

To compute: The number of sweaters to be ordered in the current year by using aggregate forecast and individual school forecast.

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Sales of tablet computers at Marika Gonzalez's electronics store in Washington, D.C., over the past 10 weeks are shown in the table below: Week 1 2 3 4 5 6 7 8 9 10 Demand 21 21 27 38 25 30 35 24 25 30 a) The forecast for weeks 2 through 10 using exponential smoothing with a = 0.50 and a week 1 initial forecast of 21.0 are (round your responses to two decimal places): Week 1 2 3 4 5 6 7 8 9 10 Demand 21 21 27 38 25 30 35 24 25 30 Forecast 21.0 21 21 24 31 28 29 32 28 26.50 b) For the forecast developed using exponential smoothing (a = 0.50 and initial forecast 21.0), the MAD = |||||sales (round your response to two decimal places).

Sales of tablet computers at Marika Gonzalez's electronics store in Washington, D.C., over the past 10 weeks are shown in the table below: Week Demand 1 2 3 4 5 6 7 8 9 10 21 21 27 38 25 30 35 24 25 30 a) The forecast for weeks 2 through 10 using exponential smoothing with a = 0.50 and a week 1 initial forecast of 21.0 are (round your responses to two decimal places): Week 1 2 3 4 5 Demand 21 21 27 38 Forecast 21.0 ☐ G ☐ ☐ 6 7 25 30 35 ∞ ☐ 8 9 10 24 25 30

Each machine costs $3 Million. Building the room with all its attendant safety protection and other ancillary costs increases the spending by an additional $2.0 million dollars per MRI suite. Each machine can perform 2000 scans per year. Each reading of an MRI scan by a radiologist, along with other per-scan-related costs, is $500 per scan. The machine will last five years. Don’t worry about discount rates for this problem Graph the total costs over 5 years as a function of sales for 0-3000 patients annually. Hint: you may need to add a second MRI at some point. Suppose that you want to make a profit of $500 per scan at a target volume of 1000 patients per year, and you purchase only one machine. Superimpose the total revenue curve on top of the total cost curve in (1).