Maria Exports Limited is a major garment export house based on China. The sales figures (in1000 units) of a particular garment during the past 20 weeks are given in table below.21.9423.9423.68Week1234523.046789101112BABBE9281314151617181920Demand21241822272321255545271819Find the simple exponential smoothing forecast for all the 20 weeks and also forecast thedemand for 21" week. Assume a = 0.2 and F, = 21. (Round to two decimals)222624172129272325

The forecasting process can involve the use of different methods like the moving average, weighted…

Answered: Find the simple exponential smoothing…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

Section: Chapter Questions

Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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Using exponential smoothing with alpha = .2, and assuming the forecast for period 11 was 80, what would the forecast for period 14 be?
Use the following data to determine the tracking signal for period 4. Actual Forecast 10 16 23 16 50 49 63 59 108 106 122 118 a. 1.333 b. 1.108 c. 0.742 d. 0.429
In August a tractor dealer pridicted september demand for 201 tractors , actual demand was 259 tractors. Now using a smoothing constant chosen by the organisation of alpha 0.21, the dealer wants to forecast October demand using the exponential smoothing model ?
Given the actual demand of 300, the previous forecast of 300, and an alpha of 0.048 , which one of the following is closest to the forecast for the next period be using simple exponential smoothing? Select one: a. 330 b. 300 c. 420 d. 150
Given the following original forecast and actual data: Month Actual Forecast Jan Feb Mar Apr May Jun Jul 600 475 550 575 688 649 ??? 400 —— 1 ??? Using exponential smoothing with a - = 0.64, what is the forecast for July. Round your answer to 2 decimal places.
Given the following sales data: week 1: 203 week 2: 185 week 3: 164 week 4: 151 week 5: 115 Forecast sales for week 6 using Holt's model with: alpha = 0.3 beta = 0.4 Use L(2) = A(2) and T(2) = A(2) - A(1) to initialize the model. %3D Your Answer: Answer
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In January a battery dealer pridicts February demand of 2000 2 charger battery whereas the actual demand was 1756 unit of batteries , using a smoothing constant of alpha 0.34, the dealer wishes to forecast the march demand using the exponential smoothing model ?
Based on the information in the following table, use the Exponential Smoothing Approach (a = 0.3) to forecast the demand for periods 4-13 %3D PERIOD MONTH Demand Forecast 1 Jan 222 Feb 192 222 3 Mar 212 213 Apr 202 May 220 Jun 200 7 Jul 113 Aug 175 6. Sep 277 10 Oct 211 11 Nov 249 12 Dec 144 13 Jan 6o 00
*** Can you please demonstrate how to do parts d, e, f? Given: Year Demand 1 7 2 9 3 5 4 9 5 Predict the value for Year 5: 2 year moving average What is MSE for 2 year moving average? 2 year moving average using 0.6 (weight for the oldest period) and 0.4(weight for most recent period Exponential smoothing, =0.2 and forecast for Year 1 = 5 Linear trend Which forecast method has the least amount of error using MAD? What is the coefficient?
Passenger miles flown on Northeast Airlines, a commuterfirm serving the Boston hub, a re shown for the past 12weeks: a) Assuming an initial forecast for week I of 17,000 miles, useexponential smoothing to compute miles for weeks 2 through12. Use a= .2b) What is the MAD for tlus model?c) Compute the Cumulative Forecast Errors and tracking signals. Are they within acceptable limits?
Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.

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Find the simple exponential smoothing forecast for all the 20 weeks and also forecast the demand for 21-week. Assume a 0.2 and F, -21. (Round to two decimals) 21.94 23.94 23.68 23.04