Question 18 A tire company needs a forecast for studded tires in the next forecast period. The company typically uses an exponential smoothing forecast using a smoothing constant of alpha = 0.20. The demand for the most recent period was 100 and the forecast for the same period was 110. Based on this information, what is the tire company's forecast for the next period? Group of answer choices a. 100 tires b. 102 tires c. 108 tires d. 110 tires e. Impossible to determine
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- Question 1. Question : (TCOs 6 and 8) What is the approximate forecast for July using a 40-month moving average if the historical demand is as follows: January is 35, February is 36, March is 40, April is 43, May is 48, and June is 49? 38 45 42 43 39 Question 4. Question : (TCO 8) Given an alpha factor of 0.4, a current demand for April of 5,500 units, and a March forecast of 4,900 units, calculate the May forecast. 4,000 6,050 5,080 4,520 5,140 Question 6. Question : (TCOs 5 and12) With a demand during lead time of 130, a safety stock of 20, and a container size of 30, how many kanbans (containers) would be needed? 6 5 8 10 16 Question 8. Question : (TCOs 6 and 8) In the process of using seasonal indices for forecasting, the first step that is taken is compute the average demand over all months. estimate next yearâs total annual demand. divide the estimate of total annual demand by the number of seasons. find the average historical demand each…QUESTION 1 Sales of Fat Lips Burgers for 2012 are shown in the table below. 1. Do the 2 month SMA forecast 2. Do 2 month WMA forecast using the information below WMA – 2: last month, 1 – last 2 months 3. For the month of January 2012, the forecast was 438. Do the EMA forecast with the smoothing constant = 0.3. What is the forecast for Jan 2013? 4. Compare the forecasts above using MAD, MSE and MAPE. Which forecast method gives the least errors? Month Actual Sales Forecast Jan 2012 438 Feb 420 March 414 Apr 318 May 306 June 240 July 240 Aug 216 Sep 198 Oct 225 Nov 270 Dec 315 Jan 2013 - QUESTION 2Dayang sells 5 kg bags of fertilizer to local farmers in Tg Karang. The sales data for the past 11 months is shown below. Month Demand (10s of bags) 1 4 2 6 3 4 4 5 5 10 6 8 7 7 8 9 9 12 10 14 11 15 1. Find the forecast for the month 12 using the methods below: a. Simple 4 month moving average (SMA) b.…QUESTION ONE (b) The forecast of a product for the first week of January was 200 units, whereas the actual demand turned out to be 220 units. i. Find the forecast for the week of January assuming the smoothing constant 0.2 α = ii. Find the forecast for the third week of third week of January if the actual demand of the second week is 210 units
- Question #2 Month Demand 1 45 2 48 3 43 4 48 5 49 6 54 7 47 8 50 9 46 10 47 Using the table above, calculate two forecasts using the following method:- First, for periods 4 through 10, develop the exponentially smoothed forecasts using a forecast for period 3 (F3) of 45.0 and an alpha of 0.4. ii. Calculate the weighted moving average for periods 4 through 10, using weights of .70, .20, and .10, with 0.70 applied to the most recent data. iii. Calculate the mean absolute deviation (MAD) for each forecasting procedure. Which forecasting procedure would you select? Why?Question 2Chad and James are two veteran sales executives who have been working for a well-established car distributor selling new cars. About six years ago, believing that there were good prospects in starting a business in selling used cars, both gentlemen left their employment to venture out.Since the beginning of their company, sales had been quite positive, but the owners now wanted to know more about future sales using an appropriate forecasting method. For a start, they wanted to focus on the quarterly sales of a popular brand of used cars.The sales figures over the last five years were used for the forecast. They are presented in the table below. (c) Explain why forecasting, despite its usefulness or sophistication, should only be considered a useful tool for decision making in any business. What are other factors that need to be considered? (d) The business of selling cars in Singapore, like many businesses, is subject to uncertainties.Discuss three (3) external factors,…Question 2 i. Differentiate between independent and dependent variable in forecasting. ii. The last seven weeks of sales at KC car dealership can be seen in Table 2 below. Table 2 Week Sales 1 25 2 30 3 27 4 31 5 27 6 29 7 30 8 a. Use a three-period weighted-moving average forecast to determine a forecast for the 8th week using weights of 3, 2, and 1 (where the most recent week receives the highest weight). (Round all forecasts to the nearest whole unit.) b. Calculate the MAD for this forecast. c. What does the MAD indicate?
- Question Four: ABC Company sells home appliances. Daily sales for a six-day period were as follows: Day Sales Saturday 20 Sunday 24 Monday 30 Tuesday 40 Wednesday 36 Thursday 44 Forecast Friday sales volume using each of the following methods: A three-day moving average. A four day weighted average using weights of 0.1, 0.2, 0.3 and 0.4 Exponential smoothing with a smoothing constant equal to 0.2, assuming Wednesday forecast of 42. Determine a linear trend line equation for ABC Company. Use the trend equation to forecast Friday sales volume.QUESTION 1 The table below shows the sales figures for a brand of shoe over the last 12 months. Months SalesJanuary 69February 75March 86April 92May 95June 100July 108August 115September 125October 131November 140December 150 a. Using the following, forecast the sales for the months up to January the following year:-i. A simple three month moving average. ii. A three period weighted moving average using weights of 1, 2 and 3. Assign thehighest weight to the most recent data. iii. Exponential Smoothing when α= .6 and the forecast for March is 350.iv. Determine which of the three forecasting technique is the most accurate using MADQUESTION 1The table below shows the sales figures for a brand of shoe over the last 12 months.Months SalesJanuary 69February 75March 86April 92May 95June 100July 108August 115September 125October 131November 140December 150a. Using the following, forecast the sales for the months up to January the following year:-i. A simple three month moving average. ii. A three period weighted moving average using weights of 1, 2 and 3. Assign thehighest weight to the most recent data. iii. Exponential Smoothing when α= .6 and the forecast for March is 350.iv. Determine which of the three forecasting technique is the most accurate usingMAD. b. The following table shows the number of televisions sold over the last ten years at alocal electronic store.YEAR TV SALES1 1502 3003 4804 6005 6306 6407 7008 8259 90010 980i. Using trend projection, develop a formula to predict sales for years 11 and 12. Youhave to show all working. You will need to develop a table to calculate the slope andthe intercept.…
- QUESTION 5 Choose the answer with the best match. Elements of a Good Forecast, Meaningful: The benefits should outweigh the costs It should work consistently The degree of accuracy of the forecast should be stated The forecasting horizon must cover the time necessary to implement possible changes so that its results can be used The units measured should be useful to those using the forecast QUESTION 6 There are two main approaches to forecasting. Choose the best two: Quantitative, Consumer Judgmental, Quantitative Sales force, Judgmental Historical, Consumer Expert, Executive QUESTION 7 Describe the following: Andon Maintaining equipment in good condition Maintaining a workplace that is clean System for moving work to the next station as it is completed System of lights used at each workstation to…QUESTION 1The table below shows the sales figures for a brand of shoe over the last 12 months.Months SalesJanuary 69February 75March 86April 92May 95June 100July 108August 115September 125October 131November 140December 150 a. Using the following, forecast the sales for the months up to January the following year:-i. A simple three month moving averageQUESTION 1The table below shows the sales figures for a brand of shoe over the last 12 months. Months SalesJanuary 69February 75March 86April 92May 95June 100July 108August 115September 125October 131November 140December 150 a. Using the following, forecast the sales for the months up to January the following year:- ii. A three period weighted moving average using weights of 1, 2 and 3. Assign thehighest weight to the most recent data.