(4) The Great Northwest Outdoor Company is a catalog sales operation that specializes inoutdoor recreational clothing. Demand for its items is very seasonal, peaking during theholiday season and during the spring. It has accumulated the following data for ordersper season (quarter) during the past five years.Orders (1,000s)Year 1Year 2Year 3Year 4Year 5Winter (Q 1)Spring (Q 2)Summer (Q 3)18.618.122.423.224.523.524.728.827.631.020.419.521.024.423.7Fall (Q 4)Total41.946.345.547.152.8104.4108.6117.7122.3132.0Develop a seasonally adjusted forecast model for these order data. Forecast demand foreach quarter for year 6, using the annual trend line as given: Y(t) = 96.33 + 6.89t(a) Find seasonal index for each quarter(b) Find seasonally adjusted demand forecast for each quarter for year 6(c) Find MAD for seasonally adjusted forecasting for year 1 through 5.

Year 1 Year 2 Year 3 Year 4 Year 5 Winter (Q1) 18.6 18 22.4 23.2 24.5 Spring (Q2) 23.5 25 28.8…

Answered: (4) The Great Northwest Outdoor Company…

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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The data shown are quarterly revenues (in Sthousands) from Roget's Books from 2013-Q1 through 2020-Q2. 6. Quarter 2013-1 2013-2 2013-3 2013-4 2014-1 2014-2 2014-3 2014-4 2015-1 2015-2 2015-3 2015-4 2016-1 2016-2 2016-3 2016-4 2017-1 2017-2 2017-3 2017-4 Revenue 2372 2740 2518 4708 2392 Quarter 2018-1 2018-2 2018-3 2018-4 2019-1 2019-2 2019-3 2019-4 2020-1 2020-2 Revenue 2725 2924 3118 5112 2777 2949 1:27:04 2811 2685 4795 2812 2893 2848 4894 2687 2903 2674 4871 2844 2933 3237 5350 3035 3028 2791 5252 Click here for the Excel Data File, Data file should open in a new browswer window. Select "File" then "Save As" to download the file to your computer and be able to use it in Excel. a. Determine the regression equation. Regression equation: ŷ = | (Round to 1 decimal places.) b. Determine the specific index for each quarter places.) dexes should be in decimal form (e.g. 1.36 not 136). Rounded to 2 decimal Quarter Quarterly Index Q1 Q2 Q3 Q4 c. What are the estimated sales (forecast) for…
Find the MAD and Tracking signal in below table. Do you think this forecast is acceptable? Why? How many units this company shall keep as the safety stocks if service level is 90%? Period Actual Demand Forecast 220 200 2 300 310 3 400 340 4 340 350 5 280 300 250 270
The K&R Camera shop sells all the latest cameras and accessories. To meet customer demand, the manager must forecast demand for items she sells. Lately the XR-42S zoom lens has been very popular. Recent monthly demand for this item has been as shown: Number of Lenses Month Sold 1 12 17 2 3 4 15 20 18 23 6.
Month Demand Forecast Error Abs Error alpha 1 20 2 18 3 21 4 25 5 24 6 27 7 22 8 30 9 23 10 20 11 29 12 22 Mean Bias MAD (mean error) Problem 6: Maverick Jeans' demand manager decided to evaluate exponential smoothing. To maintain com- parability, she used the data from problem 6, copied below. 1 Month 2 3 Demand 20 18 21 25 4 5 24 6 7 8 9 10 11 12 27 22 30 23 20 29 22 Develop forecasts for months 5-12. Calculate the Bias and MAD. Use a starting forecast of 20 for month 4 and an alpha value of 0.2. (Note: Adjust all cell values to two decimal points.)
(b) Demand history of five different products of a company is shown below. Products 2012 2013 2014 2015 2016 2017 2018 2019 2020 A 37 40 41 45 49 26 34 30 26 23 33 28 32 C 58 55 32 38 45 56 62 70 77 86 95 83 88 81 92 85 i. Name the methods that is suitable to forecast the demand of the above five products? ii. Forecast demand of the product B or D with error for the year 2021. If you need a value of a then consider it 0.7.
The following are historical demand data: ACTUAL YEAR SEASON DEMAND 2 years ago Spring Summer 205 151 Fall 379 Winter Spring Summer 560 last year 481 268 679 959 Fall Winter Use regression analysis on deseasonalized demand to forecast next summer's demand. (Round your answer to the nearest whole number.) Forecast for next summer's demand
Year Sales 1) 123 2)118 3) 109 4) 112 5) 100 6) 110 7) 124 8)Determine the demand in Year 8 using a 3-month moving average using the sales table. Use weights of 0.40, 0.30 and 0.30
Given the demand data, answer the following questions below. Year Sales 1 - 123 2 - 118 3 - 109 4 - 112 5 -100 6 -110 7 -124 8 - ? What will be the forecast demand in Year 8 using Naïve method?a.) 120b.) 110c.) 115d.) 124
The following are historical demand data: YEAR SEASON ACTUALDEMAND 2011 Spring 203 Summer 144 Fall 382 Winter 565 2012 Spring 471 Summer 271 Fall 686 Winter 955 Use regression analysis on deseasonalized demand to forecast demand in summer 2013. (Do not round intermediate calculations. Round your answer to the nearest whole number.)
11.4 Given the following data, calculate the average demand and the standard deviation. Period 1 2 3 st 4 5 67 8 9 10 Total Actual Demand 1700 2100 1900 2200 2000 1800 2100 2300 2100 1800 Deviation Deviation Squared
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Sales in hunderds) of XYX Cc for the previous 7 months are 80, 82. 88, 95, 103, 105 and 122 respectively. Forecast the sales by 4 point moving average method for the forthcoming penod Oa 10260 units Ob 10625 units Oc 11000 units d. 113500 units

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