Assuming actual product demand were 1,500; 1540; 1,520; 1,550; and 1,560 for Weeks 1, 2, 3, 4, and 5, respectively. Using 2 as interval for moving averages forecasting, the computed sum of percentage error and MAPE should be: * o 1.60% and 15.00% o 2.89% and 0.96% o 1.29% and 0.29% o 0% and 0%
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- Assume that the actual sales volume were 1,800; 2,000; 1,700; 1,600; 1,900; and 2,100 for Days 1 to 6, respectively. Assume further that w = 0.10, 0.30, 0.60 for use in weighted moving averages forecasting, How much would be the forecasted sales volume for Day 6? * A. 1,800 B. 1,670 C. 1,990 D. 1,790Assuming actual product demand were 1,500; 1540; 1,520; 1,550; and 1,560 for Weeks 1, 2, 3, 4, and 5, respectively. Using 2 as interval for moving averages forecasting, the computed sum of percentage error and MAPE should be: * a. 2.89% and 0.96% b. 1.60% and 15.00% c. 1.29% and 0.29% d. 0% and 0%Suppose a four-period weighted average is being used to forecast demand. Weights for the periods are as follows: wt-4 = 0.1, wt-3 = 0.2, wt-2 = 0.3 and wt-1 = 0.4. Demand observed in the previous four periods was as follows: At-4 = 380, At-3 = 410, At-2 = 390, and At-1 = 400. What will be the demand forecast for period t?
- a) The demand forecast for Month 6 would be: A. 565 haircuts B. 574 haircuts C. 578 haircuts D. 584 haircuts b) With Mean Absolute Deviation (MAD) as the criterion, the best forecasting model for this time series data is: A. Naïve approach B. 2-week Simple Moving Average (SMA) C. Weighted Moving Average (WMA) with weights: 0.5, 0.3, 0.2 D. Exponential Smoothing (ES) with alpha = 0.8"prio to the start of a season, when work is at peak, the workforce stands at some 2300,operational staff. Off peak, that drops to 1350 staff"In light of this statement and the case discuss the types of forecasting and the techiques that Nike uses to determine the number of staff for each season.Simple exponential smoothing (with a 0.2) is beingused to forecast monthly beer sales at Gordon’s LiquorStore. After observing April’s demand, the predicted demandfor May is 4,000 cans of beer.a At the beginning of May, what is the prediction forJuly’s beer sales?b Actual demand during May and June is as follows:May, 4,500 cans of beer; June, 3,500 cans of beer. Afterobserving June’s demand, what is the forecast for July’sdemand?c The demand during May and June averages out to 4,5002 3,500 4,000 cans per month. This is the same asthe forecast for monthly sales before we observed theMay and June data. Yet after observing the May andJune demands for beer, our forecast for July demand hasdecreased from what it was at the end of April. Why?
- With alpha = 0.8, the Exponential Smoothing (ES) forecast for Month 6 would be: A. 565 haircuts B. 574 haircuts C. 578 haircuts D. 584 haircutsA police station had to deploy police officers for emergencies multiple times the lastfour evenings. The numbers of emergencies for Monday, Tuesday, Wednesday, andThursday were 7, 4, 8, and 11, respectively. What would be the station’s forecast for theemergencies on Friday using a two-day moving average approach1 The demand for automobiles at Crescent Auto Dealers for the past 8 weeks is as follows. Week Auto Demand Weights1 9 0.12 11 0.33 8 0.64 125 106 137 78 12a Develop a 3-week moving average forecast for Weeks 4 through 9b Develop a 3-week weighted average forecast…
- Eight Glasses A Day: The EGAD Bottling Company has decided to introduce a new line of premium bottled water that will include several designer flavors. Marketing manager Georgianna is predicting an upturn in demand based on the new offerings and the increased public awareness of the health benefits of drinking more water. She has prepared aggregate forecasts for the next six months, as shown, Month May June July Aug Sep Oct Total Forecast 50 60 70 90 80 70 420 Production manager Mark Mercer, has developed the following information. (Note: Costs are in thousands of dollars). Regular production cost: $1 per tankload Regular production capacity: 60 tankloads Overtime production cost: $1.6 per tankload Subcontracting cost: $1.8 per tankload Holding cost: $2 per tankload per month Back ordering cost: $5 per month per tankload Beginning inventory: 0 units Among the strategies being considered are: 1. Level production supplemented by up to 10 tank loads a month from overtime 2. A…Greenfield Equipment is performing demand forecasting. Actual demand for Week 1 – 550, Week 2 – 490, Week 3 – 560, week 4 – 435, and Week 5 – 656. You have been asked to perform exponential smoothing with a delta of 0.3. Week 5 forecast was 519. What is week 6 forecast? Provide answer rounded to 1 decimal place.A Dallas, TX-based manufacturer of small gasoline engines has developed monthly forecasts for a family of lawnmowers. Data for the 6-month period from January to June is presented in the table below. The firm would like to use an aggregate plan. MONTH Expected Demand Production Days Jan. 800 22 Feb. 700 18 Mar. 800 24 Apr. 1,200 25 May 1,600 26 June 1,900 26 One possible strategy for the manufacturer is to maintain a constant workforce throughout the 6-month period. The information below provides the cost information necessary for analyzing this alternative. Inventory carrying cost $3.00 Subcontracting cost per unit $15.00 Average pay rate $12.00 Daily pay rate = $96.00 Overtime pay rate $18.00 Labor-hours to produce a unit 2.2 Cost of increasing daily production rate (hiring and training) $200.00 Cost of decreasing daily production rate (layoffs) $350.00 The number of units produced per day = 45 and we have a constant workforce, no overtime or…