The EGAD Bottling Company has decided to introduce a new line of premium bottled water that will include several "designer" flavors. Marketing manager Georgianna Mercer 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 in the following table (quantities are in tankloads). Month May Jun Jul Aug Sep Oct Total Forecast 50 60 70 90 80 70 420 Production manager Mark Mercer (no relation to Georgianna) has developed the following information. (Costs are in thousands of dollars.) $1 per tankload 60 tankloads Regular production cost Regular production capacity Overtime production cost Subcontracting cost Holding cost. $1.6 per tankload $1.8 per tankload $2 per tankload per month Backlogs are not allowed 0 tankloads Backordering cost Beginning inventory Among the strategies being considered are the following: • Level production supplemented by up to 10 tankloads a month from overtime. • A combination of overtime, inventory, and subcontracting. Regular production should be the same each month. • Using overtime for up to 15 tankloads a month, along with inventory to handle variations. Regular production should be the same each month.

Data collected on the yearly demand for 50-pound bags of fertilizer at Wallace Garden Supply are shown in the following table:  YEAR DEMAND FOR FERTILIZER (1,000S OF BAGS) 1 4 2 6 3 4 4 5 5 10 6 8 7 7 8 9 9 12 10 14 11 15   a) Develop a 3-year moving average to forecast demand?

Sales of Volkswagen's popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below) Year Sales 1 455 2 495 516 4 563 584 a) Forecasted sales for year 6 using a 3-year moving average is sales (round your response to one decimal place). b) The MAD for a 3-year moving average based forecast is sales (round your response to one decimal place). c) The MSE for a 3-year moving average based forecast is sales (round your response to the nearest whole number).

Use simple exponential smoothing with a=0.6 to forecast chargers sales for February through May. Assume that the forecast for January was 24 chargers. *** Month January Charger Sales 42 February 33 March 28 April 59 May ? a) What will be the forecast for May? b) Calculate the MSE.

The sales of Bluetooth Headphones at the Dubai Electronics Enterprises in Jebel Ali, UAE, over the past 4 months have been 100, 110, 120, and 130 units (with 130 being the most recent sales). Develop a moving-average forecast for next month, using the following techniques: 5B. If next month's sales turn out to be 140 units, forecast the following month's sales (months) using a 4-month moving average.

The following data shows sales forecast of Axis Dealer for motorbikes. Month Demand 1 650 700 3 810 4 800 5 900 6. 700 7 i. What are the 3-months moving average forecasts for months 4, 5, 6 & 7? ii. What are the 3-month Wt. Moving Average (weights: 0.2, 0.3, 0.5) for months 4, 5, 6 & 7? iii. Calculate an exponential smoothing forecast for the given data with an alpha of 0.1 for months 2, 3, 4, 5, 6 & 7. Assume a forecast of 650 for month 1. Show the formula and working method.

Following table shows the monthly sales of X-box consoles at a retail store in Kuwait:   Answer the following questions based on the data given above. Show your calculations. a. What is the expected sales for the 8th month based on 3 period moving average? b. What is the expected sales for the 8th month based on exponential smoothing with α =0.2? c. Which of the above two forecasting method is better based on MSE?

Marianne​ Schwartz, the owner of Handy Man​ Rentals, rents carpet cleaners to contractors and​ walk-in customers. She is interested in arriving at a forecast of rentals so that she can order the correct quantities of supplies that go with the cleaners. Data for the last 10 weeks are shown here. Part 2                                                                                                                                                            Week 1 2 3 4 5 6 7 8 9 10 Rentals 23 22 25 23 22 11 21 34 19 13 Part 3 a. Prepare a forecast for weeks 6 through 10 by using a 4-week moving average LOADING... . ​(Enter your responses rounded to two decimal​ places.)   Week Forecast 6 enter your response here Part 4 7 enter your response here Part 5 8 enter your response here Part 6 9 enter your response here Part 7 10 enter your response here Part 8 What is the…

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a) Forecast the demand for the week of October 12 using a 3-week moving average. b) Use a 3-week weighted moving average, with weights of .1, .3, and .6, using .6 for the most recent week. Forecast demand for the week of October 12. c) compute the forecast for the week of Oct 12 using exponential  smoothing with a forecast for august 31 of 360 and alpha 0.2