Practical Management Science
6th Edition
ISBN: 9781337406659
Author: WINSTON, Wayne L.
Publisher: Cengage,
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- K The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: Week Of August 31 September 7 September 14 September 21 September 28 October 5 - Pints Used 350 370 412 378 371 378 a) The forecasted demand for the week of October 12 using a 3-week moving average = 375.67 pints (round your response to two decimal places). b) Using a 3-week weighted moving average, with weights of 0.15, 0.30, and 0.55, using 0.55 for the most recent week, the forecasted demand for the week of October 12 = decimal places and remember to use the weights in appropriate order the largest weight applies to most recent period and smallest weight applies to oldest period.) pints (round your response to twoarrow_forwardCalculate the mean square error, mean absolute deviation and the Period Year Call Volume forecast Error 1 1 30 45 -15 2 2 25 15 10 3 2 55 65 -10 4 3 15 20 -5 Your answer?arrow_forwardMonth Demand Forecast Error Abs Error alpha 1 20 2 18 3 21 4 25 5 24 6 27 7 22 8 30 9 23 10 20 11 29 12 22 Mean Bias MAD (mean error) Problem 6: Maverick Jeans' demand manager decided to evaluate exponential smoothing. To maintain com- parability, she used the data from problem 6, copied below. 1 Month 2 3 Demand 20 18 21 25 4 5 24 6 7 8 9 10 11 12 27 22 30 23 20 29 22 Develop forecasts for months 5-12. Calculate the Bias and MAD. Use a starting forecast of 20 for month 4 and an alpha value of 0.2. (Note: Adjust all cell values to two decimal points.)arrow_forward
- A. Find the tracking signal for each month. B. Does the model provide acceptable answers!arrow_forward4. An electrical contractor's records during the last five weeks indicate the number of job requests: 1 3 20 18 Week Requests 2 22 4 21 5 22 Predict the number of requests for week 6 using each of these methods: a. Naive b. A four-period moving average c. Exponential smoothing with a = 30; use 20 for week 2 forecastarrow_forwardThe owner of Leisure Boutique in a local mall is reviewing their forecasting model for errors. Month Actual Forecasted March 64 63 April 66 67 May 70 71 June 78 75 July 80 79 August 84 83 September 92 87 October 94 91 What is the cumulative forecast error? Group of answer choices a) -16 b) 16 c) 12 d) -12arrow_forward
- 14.5. For the data in Exercise 14.4, use an a of 0.1 to make a forecast for July F Ft-1 + 0.1(At-1-Ft-1) Months January 15 February 18 March 22 23 27 26 April May June Demand Smoothing unit (At) (St) July 15 15.3 15.97 16.67 17.7 18.53 Forecast for July= 18.53 Forecast (Ft) 15 15.3 15.97 16.67 17.7 18.53arrow_forwardMonth Demand Forecast Error Abs Error 1 43 2 52 3 44 4 57 5 43 6 48 7 Sum Mean Bias MAD When using a 4 period moving average forecast (MAF): 1. What is the forecast for month 6? 2. What is the forecast error for month 6?arrow_forward4.29 The number of disk drives (in millions) made at a plant in Taiwan during the past 5 years follows: YEAR DISK DRIVES 1 140 160 3 190 4 200 5 210 a) Forecast the number of disk drives to be made next year, using linear regression. b) Compute the mean squared error (MSE) when using linear regression. c) Compute the mean absolute percent error (MAPE). PXarrow_forward
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