Brown Limited buys small ornaments and resells them. The production manager got the following data after inventory control check. (a) Use a trend projection to estimate the relationship between time and sales (state the equation). (b) Calculate forecasts for the first four months of the next year. 1 2 3 4 5 6 Month Jan Feb Mar Apr May Jun Sales 51 55 54 57 50 68 (Hint: Month-x, Sale = y) 7 Jul Aug Sep 8 9 10 11 12 Oct Nov Dec 66 59 67 69 75 77
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![Brown Limited buys small ornaments and resells them. The production manager got the following data
after inventory control check.
(a) Use a trend projection to estimate the relationship between time and sales (state the equation).
(b) Calculate forecasts for the first four months of the next year.
8 9 10 11 12
Oct Nov Dec
69 75 77
1
2 3 4 5 6 7
Month Jan Feb Mar Apr May Jun Jul Aug Sep
Sales 51 55 54 57 50 68 66 59 67
(Hint: Month-x, Sale = y)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1201f131-1c57-48b7-8200-0fdb38de4514%2F0db79dac-5cf2-434b-83c8-ad50317e3063%2Fdhbu9tv_processed.jpeg&w=3840&q=75)
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- Under what conditions might a firm use multiple forecasting methods?Given the following history, use a three-quarter moving average to forecast the demandfor the third quarter of this year. Note that the 1st quarter is Jan, Feb, and Mar; 2ndquarter Apr, May, Jun; 3rd quarter Jul, Aug, Sep; and 4th quarter Oct, Nov, JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DECLast year 120 140 145 195 205 220 165 155 145 220 245 265This year 140 145 200 210 240 255Centerville Bikes and Stuff (CBS) sells motorcycles and accessories. The number of helmets sold by CBS per week for the past six weeks follows. Week 1 2 Value 17 14 15 3 (b) mean squared error MSE = % 4 Using the naive method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. (a) mean absolute error MAE = 5 6 (d) What is the forecast for week 7? 12 16 15 (c) mean absolute percentage error (Round your answer to two decimal places.) MAPE =
- Centerville Bikes and Stuff (CBS) sells motorcycles and accessories. The number of helmets sold by CBS per week for the past six weeks follows. Week 1 2 3 Value 17 12 17 (a) mean absolute error MAE = (b) mean squared error MSE = Using the naive method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. 4 % 5 6 (d) What is the forecast for week 7? 10 16 15 (c) mean absolute percentage error (Round your answer to two decimal places.) MAPE =b. Explain the term “wrong” as it pertains to a good forecastSource Available at: http://panmore.com/walmart-inventory-management [Accessed 18 July 2022] Reading the above, it becomes clear that good inventory management and forecasting can deliver supply chain success for and could ultimately lead to profitability and growth. In a report you are required to evaluate the importance of forecasting for Walmart Your report, must include but is limited to the following: • The importance of forecasting to Walmart. • Examine if a combination of both qualitative and quantitative forecasting may be best suited. • Argue the relevance of cloud-based forecasting for Walmart. NB: • The marks allocated next to each concept in the rubric below should serve only as a guide to the depth your discussion should cover. Your answer should be a minimum of 1 200 to a maximum of 1 500 words. Markers are to stop marking after the threshold of 1 500 words (two-and-a-half to three pages) has been reached. Please indicate the word count at the end of your answer. • You…
- The following table shows the past two years of quarterly sales information. Assume that there are both trend and seasonal factors and that the seasonal cycle is one year. QUARTER SALES QUARTER SALES 1. 211 5 155 235 6 198 3 206 7 154 4 190 8 142 Use regression and seasonal indexes to forecast quarterly sales for the next year. (Do n ot round intermediate calculations. Round your answers to the nearest whole number.) Answer is complete but not entirely correct. Quarter Forecast 142 8 157 8 121 8 10 11 12 103Assume that your stock of sales merchandise is maintained based on the forecast demand. If the distributor's sales personnel call on the first day of each month, compute your forecast sales by each of the three methods requested here. ACTUAL June 154 July August 194 225 a. Using a simple three-month moving average, what is the forecast for September? (Round your answer to 2 decimal places.) Forecast for September 191.00 b. Using a weighted moving average, what is the forecast for September with weights of 0.30, 0.40, and 0.30 for June, July, and August, respectively? (Do not round intermediate calculations. Round your answer to 2 decimal places.) Forecast for September 191.30 c. Using single exponential smoothing and assuming that the forecast for June had been 142, forecast sales for September with a smoothing constant a of 0.30. (Do not round intermediate calculations. Round your answer to 2 decimal places.) Forecast for SeptemberBradley's Copiers sells and repairs photocopy machines. The manager needs weekly forecasts of service calls so that he can schedule service personnel. Use the actual demand in the first period for the forecast for the first week so error measurement begins in the second week. The manager uses exponential smoothing with alpha = 0.5 Forecast the number of calls for week 6, which is next week. Week Actual service calls 1 28 2 36 3 38 4 25 5 25 The forecast for week 6 is ___ service calls (round to two decimals and show your work)
- If ABC Corporation has following historical data about sales volume: Years Sales Years Sales Years Sales Years Sales 2001 110 2006 99 2011 100 2016 110 2002 112 2007 101 2012 104 2017 111 2003 122 2008 95 2013 108 2018 109 2004 111 2009 98 2014 102 2019 114 2005 104 2010 96 2015 115 2020 112 Note: All the sale values are in thousands. Required: Which type of forecasting approach is suitable for this type of data? Which forecasting technique is best to employ in order to forecast the above data? And also define the suggested technique. Calculate the predicted values by employing the discussed technique in part (b) on the above data.Please help with the correct answers in details: Centerville Bikes and Stuff (CBS) sells motorcycles and accessories. The number of helmets sold by CBS per week for the past six weeks follows. Week 1 2 3 4 5 6 Value 19 12 17 10 18 15 Using the naive method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. (a) mean absolute error MAE = (b) mean squared error MSE = (c) mean absolute percentage error (Round your answer to two decimal places.) MAPE = % (d) What is the forecast for week 7?Worked Problems (Show your calculations in order to get full credit) 1. Favors Distribution Company purchases small imported trinkets in bulk, packages them, and sells them to retail stores. They are conducting an inventory control study of all their items. The following data for the year 2006 are for one such item, which is not seasonal. [10 Points] | Month Sales Jan Feb Mar Apr May Jun Jul 19 11 14 17 12 14 16 Aug 15 a. Use trend projection to estimate the relationship between time and sales (state the trend line equation in this problem). b. Calculate forecasts for February 2007, April 2007, and February 2008
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