The Charbondale Hospital is considering the purchase of a new ambulance. The decision will rest partly on the anticipated mileage to be drive next year. The miles driven during the past 5 years are as follows: Year Mileage (in 10) 2008 300 2009 400 2010 340 332 2011 2012 370 Please forecast the mileage for 2013 (in 10) using a weighted average method with 0.6 as the weight for the most recent period and 0.4 for the ne

The Charbondale Hospital is considering the purchase of a new ambulance. The decision will rest partly on the anticipated mileage to be drive next year. The miles driven during the past 5 years are as follows: Year Mileage (in 10) 2008 300 2009 400 2010 340 332 2011 2012 370 Please forecast the mileage for 2013 (in 10) using a weighted average method with 0.6 as the weight for the most recent period and 0.4 for the ne

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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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 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 MAD
Question 35 Suppose the actual sales and the forecasted, or smoothed sales, for the past 5 months have been Actual Smoothed 54.4 76.8 54.4 75.5 72.3 53.2 74.8 39.2 57.6 What is the Mean Square Error of the smoothed series? (please round your answer to 1 decimal place)
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 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
Question 16 Daily demand for sandwiches at a local deli is shown in the table. Using a 3 period weighted moving average (most recent demands receive the highest weights) with weights W1 = 0.50, W2 = 0.30 and W3 = 0.20, what is the forecast for day 8? Group of answer choices a. 39.3 sandwiches b. 41.3 sandwiches c. 43 sandwiches d. 43.3 sandwiches e. Impossible to determine
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 average
Question 1 Forecasting calculation X Month Sales (y)(000 units) 1 Feb. 19 2 Mar. 18 3 Apr. 15 4 May 20 5 Jun. 18 6 Jul. 22 7 Aug. 20 8 Sep a. Using a 5-month moving average, calculate September sales b. Calculate September sales Using a 3-month weighted moving average (weights are 0.60, 0.30. 0.10). c. Calculatate Exponential Smoothing (assume February sale is 19) sales in September (alpha 0.2, that means 1-0.2 = 0.8) d. Using regression analysis, what is Y (September sales) if X is 8? (use data> data analysis button> regression)
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 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 2 Historical demand for gulab jamun from a sweet stall on Commercial Road is as displayed in the table. Month Demand (orders) January 66,753 February 67,686 March 68,641 April 68,979 May 69,278 June 69,577 July 69,602 August 70,348 September 70,806 October 71,011 November 71,819 December 72,752 What is the forecast for June using Holt's model with an alpha of 0.1 and a beta of 0.2? 69121 69612 70564 63545 Full explain this question text typing
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:- iii. Exponential Smoothing when α= .6 and the forecast for March is 350.
QUESTION 2:The manager of YTL Computers wants to develop next year’s quarterly forecasts of salesrevenue for its brand laptops. The sales are seasonal and the company believes that thefollowing most recent eight quarters of sales should be representative of next year’ssales: Year Quarter Sales (millions of dollars) 1 1 9.2 1 2 5.4 1 3 4.3 1 4 14.1 2 1 10.3 2 2 6.4 2 3 5.4 2 4 16.0 Determine the forecast of next year’s quarterly sales revenue for this line of laptops.Show all your workings.