Operations Management: Processes and Supply Chains (12th Edition) (What's New in Operations Management)
Operations Management: Processes and Supply Chains (12th Edition) (What's New in Operations Management)
12th Edition
ISBN: 9780134741062
Author: Lee J. Krajewski, Manoj K. Malhotra, Larry P. Ritzman
Publisher: PEARSON
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Chapter 8, Problem 10P

A convenience store recently started to carry a new brand of soft drink. Management is interested in estimating future sales volume to determine whether it should continue to carry the new brand or replace it with another brand. The table here provides the number of cans sold per week. Use both the trend projection with regression and the exponential smoothing (let α = 0.4 with an initial forecast for week 1 of 617) methods to forecast demand for week 13. Compare these methods by using the mean absolute deviation and mean absolute percent error performance criteria. Does your analysis suggest that sales are trending and if so, by how much?

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A convenience store recently started to carry a new brand of soft drink. Management is interested in estimating future sales volume to determine whether it should continue to carry the new brand or replace it with another brand. The following table provides the number of cans sold per week. Use both the trend projection with regression and the exponential smoothing​ (let alpha (α)=0.40 with an initial forecast for week 1 of 568​) methods to forecast demand for week 13. Compare these methods by using the mean absolute deviation and mean absolute percent error performance criteria. Does your analysis suggest that sales are trending and if​ so, by how​ much? (i) Obtain the trend projection with regression forecast. The forecast for week 13 is __. (Enter your response rounded to the nearest whole​ number.)   Specify the mean absolute deviation​ (MAD) and mean absolute percent error​ (MAPE). ​(Enter your responses rounded to two decimal​ places.) MAD: ____ MAPE: ____%   ​(ii) Obtain the…
The table below shows the sales figures for a brand of shoe over the last 12 months. Months Sales January 69 February 75 March 86 April 92 May 95 June 100 July 108 August 115 September 125 October 131 November 140 December 150   Using the following, forecast the sales for the months up to January the following year:- A simple three month moving average.  A three period weighted moving average using weights of 1, 2 and 3. Assign the highest weight to the most recent data. Exponential Smoothing when α= .6 and the forecast for March is 350.  Determine which of the three forecasting technique is the most accurate using MAD.
Demand for oil changes at Garcia's Garage has been as follows: Month January February March April May June July August Number of Oil Changes 38 55 56 60 58 01 70 52 a. Use simple linear regression analysis to develop a forecasting model for monthly demand. In this application, the dependent variable, Y, is monthly demand and the independent variable, X, is the month. For January, let X=1; for February, let X 2; and so on. The forecasting model is given by the equation Y=X (Enter your responses rounded to two decimal places)

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Operations Management: Processes and Supply Chains (12th Edition) (What's New in Operations Management)

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