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Haip Save & C This is the same information for all six questions about this hypothetical situation Josh is a supply chain analyst for Wawa corporate headquarters. He is responsible for supporting Waws's coffee selling team, end provide forecasts for the demand for coffee cups, in the different sizes (120z, 16oz, 240z, etc.) Josh realizes that he needs to improve on the forecasting for coffee cup demand. He is thinking to start at the top level first, and develop an overal monthly number of cups, and not yet be concerned with the different sizes, because he can help the Wawa purchasing department negotiate discounts with the cup suppliers based pure on total cup volume. Josh has data for the past year, by month, of all coffee cup demands across all 1067 Wews stores across the USA, In total the register transactions for the past year show that Wawa has s just under 200 million cups of coffee in these 12 months. Josh feels like this is a good representative number since post-COVIO, the number has grown steadily proportionately with the number of new Wewa locations added. Josh's data shows that the number of coffee cup sales for the past 12 months, by month with oldest month first (s summertime month) has been (expressed in millions) 15.13, 15. 52, 16.011 174, 18.11, 182, 17:82, 1714, 16.30, 15.24, 15.01 Josh will use the forecasting template fie provided in Canves to answer the following questions (c) Determine what the forecast would be for the next month if an exponential smoothing method is applied, with an initial estimate of 1715 and a smoothing constant (alpha) of 0.6 Expres millions

Haip Save & C This is the same information for all six questions about this hypothetical situation Josh is a supply chain analyst for Wawa corporate headquarters. He is responsible for supporting Waws's coffee selling team, end provide forecasts for the demand for coffee cups, in the different sizes (120z, 16oz, 240z, etc.) Josh realizes that he needs to improve on the forecasting for coffee cup demand. He is thinking to start at the top level first, and develop an overal monthly number of cups, and not yet be concerned with the different sizes, because he can help the Wawa purchasing department negotiate discounts with the cup suppliers based pure on total cup volume. Josh has data for the past year, by month, of all coffee cup demands across all 1067 Wews stores across the USA, In total the register transactions for the past year show that Wawa has s just under 200 million cups of coffee in these 12 months. Josh feels like this is a good representative number since post-COVIO, the number has grown steadily proportionately with the number of new Wewa locations added. Josh's data shows that the number of coffee cup sales for the past 12 months, by month with oldest month first (s summertime month) has been (expressed in millions) 15.13, 15. 52, 16.011 174, 18.11, 182, 17:82, 1714, 16.30, 15.24, 15.01 Josh will use the forecasting template fie provided in Canves to answer the following questions (c) Determine what the forecast would be for the next month if an exponential smoothing method is applied, with an initial estimate of 1715 and a smoothing constant (alpha) of 0.6 Expres millions

Practical Management Science
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter9: Decision Making Under Uncertainty
Section: Chapter Questions
Problem 46P
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This is the same information for all six questions about this hypothetical situation Josh is a supply chain analyst for Wawa corporate headquarters. He is responsible for supporting Wawa's coffee selling team, end provide forecasts for the demand for coffee cups, in the different sizes (12oz, 16oz, 240z, etc) Josh realizes that he needs to improve on the forecasting for coffee cup demand. He is thinking to start at the top level first, and develop an overall monthly number of cups, and not yet be concerned with the different sizes, because he can help the Wawa purchasing department negotiate discounts with the cup suppliers based purely on total cup volume. Josh has data for the past year, by month, of all coffee cup demands across all 1067 Wews stores across the USA, In total the register transactions for the past year show that Wawa has sold just under 200 million cups of coffee in these 12 months. Josh feels like this is a good representative number since post COVID, the number has grown steadily proportionately with the number of new Wewa locations added. Josh's data shows that the number of coffee cup sales for the past 12 months, by month with oldest month first (s summertime month) has been (expressed in milions) 1513, 15.92, 16.01 16.2. 174, 1811, 182, 1782, 1714, 16.30, 15.24, 15.01 Josh will use the forecasting template file provided in Canves to answer the following questions (c) Determine what the forecast would be for the next month if an exponential smoothing method is applied, with an initial estimate of 1715 and a smoothing constant (alpha) of 0.6 Express in millions. Multiple Choice O O 15.92 17:15 Heip Save & Exi 15.40 15.34 D Sub
Transcribed Image Text:This is the same information for all six questions about this hypothetical situation Josh is a supply chain analyst for Wawa corporate headquarters. He is responsible for supporting Wawa's coffee selling team, end provide forecasts for the demand for coffee cups, in the different sizes (12oz, 16oz, 240z, etc) Josh realizes that he needs to improve on the forecasting for coffee cup demand. He is thinking to start at the top level first, and develop an overall monthly number of cups, and not yet be concerned with the different sizes, because he can help the Wawa purchasing department negotiate discounts with the cup suppliers based purely on total cup volume. Josh has data for the past year, by month, of all coffee cup demands across all 1067 Wews stores across the USA, In total the register transactions for the past year show that Wawa has sold just under 200 million cups of coffee in these 12 months. Josh feels like this is a good representative number since post COVID, the number has grown steadily proportionately with the number of new Wewa locations added. Josh's data shows that the number of coffee cup sales for the past 12 months, by month with oldest month first (s summertime month) has been (expressed in milions) 1513, 15.92, 16.01 16.2. 174, 1811, 182, 1782, 1714, 16.30, 15.24, 15.01 Josh will use the forecasting template file provided in Canves to answer the following questions (c) Determine what the forecast would be for the next month if an exponential smoothing method is applied, with an initial estimate of 1715 and a smoothing constant (alpha) of 0.6 Express in millions. Multiple Choice O O 15.92 17:15 Heip Save & Exi 15.40 15.34 D Sub
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