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    Time Series Regression

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    ══════════════════════════════════════════════ perform a regression analysis and forecast sales for the next two years: Exponential Smoothing 3.33 The Sporting Charge Company buys large quantities of copper that is used in its manufactured products. Bill Bray is developing a forecasting system for copper prices. He has accumulated this historical data: Copper Copper Price/ Price/ Month Pound Month Pound 1 $0.99$  9 $0.98$ 2 0.97 10 0.91 3 0.92 11 0.89 4 0.96 12 0.94 5 0

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    Week 3 Team Assingment

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    This part of the plant’s business is a make-to-stock operation in which the future demand for fans is forecasted based on taking the average of sales for the last three years and extrapolating it into the next year. The assumption in using this forecasting method is that history will repeat itself within manageable limits. Consumers are adjusting to the reality that oil prices will remain high rather than being a temporary event‚ and even if oil prices fall the

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    Supply Chain Ll Bean

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    AUGUSTIN BOLZE March 16th March 2015 SCM – Dimitrios Andritsos – 9 :40 L.L. BEAN‚ Inc CASE 1. How does L.L. Bean use past demand data and a specific item forecast to decide how many units of that item to stock? L.L. proceeds step by step to decide how many units of an item they stock. After negotiations‚ discussions‚ they obtain a specific item forecast‚ a “frozen” forecast. However they are not going to use past demand data on this precised item to know how much to stock of this item (moreover

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    Competitive Priorities The critical dimensions that a process or supply chain must possess to satisfy its internal or external customers‚ both now and in the future. Competitive capabilities The cost‚ quality‚ time‚ and flexibility dimensions that a process or supply chain actually possesses and is able to deliver. Order Winners The criterion customers use to differentiate the services or products of one firm from those of another. Productivity The value of outputs (services and products)

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    Checkpoint forecasting

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    Financial Forecasting Beverly Clarkson March 7‚ 2014 FIN/200 Week 3 Checkpoint Financial Forecasting Checkpoint Financial forecasting is one of the most important developing series of projecting a financial statement. With a projection statement‚ a firm can

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    Market Forecasting

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    Wordcount-report-2210 Introduction This report discusses the marketing budget of a small suburban bar(Bar X) and the forecasting techniques in which the organisation may use in negotiating the marketing budget‚ taking into consideration the implications of the marketing budget upon the marketing mix in relation to the organisation. “Marketing is often thought to be only

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    Chapter 7 Problem Summary Problem Solutions 7.1 See file Ch7.1.xls a. Yes‚ a stationary model seems appropriate b. Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 20.16667 1.373732 14.6802 4.3E-08 17.1058 23.22753 17.1058 23.22753 Period -0.07692 0.186653 -0.41212 0.688949 -0.49281 0.338967 -0.49281 0.338967 From regression output‚ t = -.412 and p = .689. A stationary model seems appropriate since the linear term‚ Period

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    L.L.Bean case Study

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    current year also would be between 0.7 and 1.6 with the possibility 50%. If the frozen forecast for an item is 1000 units‚ we can assume that with the probability 50%‚ the actual demand of the item would fall between 700 and 1600 units. 3. After forecasting the demand based on historical forecast errors. The company will determine the item’s commitment quantity by balancing the individual item’s contribution margin if demand against

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    Economy forecasting

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    Chapter 7 FORECASTING QUESTIONS & ANSWERS Q7.1 Accurate company sales and profit forecasting requires careful consideration of firm-specific and broader influences. Discuss some of the microeconomic and macroeconomic factors a firm must consider in its own sales and profit forecasting. Q7.1 ANSWER The better a company can assess future demand‚ the better it can plan its resources. Every corporation is exposed to three types of factors influencing demand: company‚ competitive and

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    race’s outcome. Usually it is if the odds or probability are great in favor of the desired outcome. However the future is uncertain and races can turn out any of a number of different ways. The field of medicine is another high subscriber to this forecasting technique. Potential diagnoses are frequently made based on a patient’s history or that of his ancestors and the calculated likelihood of him/her acquiring certain conditions. Statistics and probability aid in the decision making process of

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