MAN4504 Lesson 04- Discussion

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Palm Beach State College *

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4504

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Industrial Engineering

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Feb 20, 2024

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pdf

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Hello All, Some important information for this question: The following gives the number of pints of type B blood used at Woodlawn Hospital in the past 6 weeks: A. Forecast the demand for the week of October 12 using a 3-week moving average. 4asdIn statistics, a moving average is a calculation to analyze data points by creating a series of averages of different selections of the full data set. It is also called a moving mean or rolling mean and is a type of finite impulse response filter. Variations include: simple, cumulative, or weighted forms. In order to calculate a 3-week moving average, the last three weeks will be taken into account. The first step is to get the total between the three then divide the total by the total number of weeks we are taking into account for this moving average, which is 3. 374+368+381= 1,123 (combined) 1,123/3= 374.33 B. Use a 3-week weighted moving average, with weights of .1, .3, and .6, using .6 for the most recent week. Forecast demand for the week of October 12. The weighted moving average is a technical indicator that assigns a greater weighting to the most recent data points, and less weighting to data points in the distant past. The weighted moving average is obtained by multiplying each number in the data set by a predetermined weight and summing up the resulting values . October 5 374 * (0.6) = 224.4 September 28 368 * (0.3) = 110.4 September 21 381 * (0.1 )= 38.1 =372.9 C. Compute the forecast for the week of October 12 using exponential smoothing with a forecast for August 31 of 360 and α=.2
Exponential smoothing is a time series forecasting method for univariate data that can be extended to support data with a systematic trend or seasonal component . It is a powerful forecasting method that may be used as an alternative to the popular Box-Jenkins ARIMA family of methods.
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