The actual number of patients at Providence Emergency Medical Clinic for the first six weeks of this year is as follows:| Week | Actual No. of Patients ||------|------------------------|| 1 | 65 || 2 | 68 || 3 | 77 || 4 | 59 || 5 | 66 || 6 | 75 |The clinic administrator, Dana Schniederjans, wants you to forecast patient numbers at the clinic for week 7 using this data. You decide to use a weighted moving average method for the forecast. The method uses four actual demand levels, with weights of 0.500 on the present period, 0.250 one period ago, 0.125 two periods ago, and 0.125 three periods ago.**Question a)** What is the value of your forecast?The value of the forecast is ________ patients (round your response to two decimal places).**Question b)** If instead the weights were 40, 20, 10, and 10, respectively, how would the forecast change?- A. The value of the forecast will decrease.- B. The value of the forecast will remain the same.- C. The value of the forecast will increase.**Question c)** What if the weights were 0.40, 0.30, 0.20, and 0.10, respectively? Now what is the forecast for week 7?The value of the forecast is ___________ patients (round your response to two decimal places).

Week 1Actual No. of Patients165268377459566675

Answered: The actual number of patients at…

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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The actual number of patients at Providence Emergency Medical Clinic for the first six weeks of this year follows: The value of the forecast is Week Actual No. of Patients 45 49 IT 56 40 44 55 Clinic administrator Dana Schniederjans wants you to forecast patient numbers at the clinic for week 7 by using this data. You decide to use a weighted moving average method to find this forecast. Your method uses four actual demand levels, with weights of 0.333 on the present period, 0.250 one period ago, 0.250 two periods ago, and 0.167 three periods ago. a) What is the value of your forecast? patients (round your response to two decimal places). 123456
The following table shows predicted product demand using your particular forecasting method along with the actual demand that occurred: FORECAST ACTUAL 1,480 1,530 1,380 1,480 1,680 1,580 1,730 1,780 1,630 1,680 Compute the tracking signal using the mean absolute deviation and running sum of forecast errors. Note: Negative values should be indicated by a minus sign. Round your "Mean Absolute Deviation", "Tracking Signal" to 2 decimal places and all other answers to the nearest whole number. Period Forecast Actual Deviation RSFE Absolute Deviation Sum of Absolute MAD TS Deviation 1 1,480 1,530 -50 -50 50 50 50.00 -1.00 2 1,380 1,480 -100 -150 100 150 75.00 -2.00 3 1,680 1,580 100 -50 100 250 83.33 -0.60 4 1,730 1,630 100 50 100 350 87.50 0.57 5 1,780 1,680 100 150 100 450 90.00 1.67
Considering the fact that the number of students is relatively constant throughout the academic year, the college's cafeteria is planning for the second semester based of the actual sales the first semester. Month Actual Sales of Fall 2016 Forecast of Spring 2017 September 250 October 300 November 280 December 200 With the given information, can the forecast of November be obtained using a 3-month weighted moving average? Explain you answer.
The demand for a product of a company in each of the last twelve months is shown in the table below; Month Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Demand 37 40 41 37 45 50 43 47 56 52 55 54 Use the table to compute the following forecast demand for the company; a. Four months simple moving average b. Four months weighted moving average using the weight of 40%, 30% and 20% and 10%respectively.
Using naïve method to make a forecast involving data with trend, the forecasted sales volume for week 4 must be ________ units if the actual sales are 500, 510, and 508 in weeks 1, 2, & 3, respectively: * o 506 o 508 o 510 o 500
Given the table below, complete the missing cell values applying the Exponential Smoothing method of forecasting and Mean Absolute Deviation. Answer also the other 2 related questions below the table. Numbers with decimal should take 2 decimal places. Actual Quarter Tonnage Unloaded 1 2 3 4 5 6 7 8 175 160 170 160 160 170 180 200 Forecast for a=3 175 175.0 170.5 167.2 165.1 166.6 170.6 Sum of absolute deviation = Absolute Deviation for a = .3 Other questions: (1) What is the MAD for a = .3? (2) Which smoothing constant would you prefer? 0.00 15.00 0.50 10.35 4.93 13.45 29.41 80.89 Forecast for a = .6 175 166.0 168.4 163.4 161.3 166.5 174.6 Absolute Deviation for a = .6 0.00 15.00 4.00 8.40 3.36 8.66 13.46 25.38
14 Community General Hospital finds itself treating many bicycle accident victims. Data from the last seven 24-hour periods is shown below: Day Bicycle Victims 1 8 2 14 3 8 4 14 5 18 6 15 With an alpha value of 0.31 and a starting forecast in day 3 equal to the 21 , what is the exponentially smoothed forecast for day 4? (Round to two decimal places) 15 What is the exponentially smoothed forecast for day 5? (Round to two decimal places)
Consider the following yearly demand values for a particular product. Year Demand 1 360 389 3 410 4 381 368 374 (a) Produce forecast for year 4,5,6, and 7 by using 3-week moving average. (b) Produce forecast for year 4,5,6, and 7 by using 3-week weighted moving average where weights are as follows; wt–3 = .1, wt-2 = .3, and wt-1 = .6. (c) Produce forecast for year 4,5,6, and 7 by using exponential smoothing with a = .2. Please assume that the forecast for the first year is 360.
Apply the moving average with base m=4 forecasting technique of the data to estimate the demand in week 13.
Given is a historical time series for job services demand in the prior 6 months. Month 1 2 3 4 5 6 Demand 799 816 789 814 815 805 The Period 6 forecast by using weighted moving average with weights of 0.05, 0.25, 0.40, and 0.30 = Blank 1 (in 2 decimal places)
Two different forecasting techniques (F1 and F2) were used to forecast demand for cases of bottled water. Actual demand and the two sets of forecasts are as follows: PREDICTED DEMAND Period Demand F1 F2 1 68 66 66 2 75 68 68 3 70 72 70 4 74 71 72 5 69 72 74 6 72 70 76 7 80 71 78 8 78 74 80 Click here for the Excel Data File Compute MAD for each set of forecasts. Given your results, which forecast appears to be more accurate? (Round your answers to 1 decimal place.) b. Compute the MSE for each set of forecasts. Given your results, which forecast appears to be more accurate? (Round your answers to 2 decimal places.) c. In practice, either MAD or MSE would be employed to compute forecast errors. What factors might lead a manager to choose one rather than the other? d. Compute MAPE for each data set. Which forecast appears to be more accurate? (Round your intermediate calculations and final answers to 2 decimal places.)
The demand data for Double T Computer Services appears below. The company wants you to forecast the demand for period 4. What is your forecast using the least squares method? Period Demand 1 37 2 40 3 40

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