An electrical contractor’s records during the last five weeks indicate the number of job requests:Week 1 2 3 4 5Requests 20 22 18 21 22 Predict the number of requests for week 6 using each of these methods:a. Naiveb. A four-period moving averagec. Exponential smoothing with α = .30; use 20 for week 2 forecast

An electrical contractor’s records during the last five weeks indicate the number of job requests:Week 1 2 3 4 5Requests 20 22 18 21 22 Predict the number of requests for week 6 using each of these methods:a. Naiveb. A four-period moving averagec. Exponential smoothing with α = .30; use 20 for week 2 forecast

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter5: Network Models

Section: Chapter Questions

Problem 1C

See similar textbooks

Similar questions

The table shows the values found in the error analysis. What method of forecasting would be best to use? What is the forecasted value? MSE forecast for week 13 Time Series 1.08 14.76 3-week MA 3.04 13.67 exp smoothing 11.04 9.5 Group of answer choices A.) Time Series, forecasted value = 14.76 B.) 3-week MA, forecasted value = 13.67 C.) exp smoothing, forecasted value = 9.5 D.) Time Series, forecasted value = 1.08 E.) 3-week MA, forecasted value = 3.04 F.) exp smoothing, forecasted value = 11.04
Naïve method versus three period Moving Average The number of major plumbing repair jobs performed by Augur’s Plumbing Service in each of the last six months is listed below. Month Jobs October 92 November 94 December 98 January 95 February 99 March 104 Use the ‘textbook’ naïve method to forecast April jobs (Ft+1 = Xt + (Xt – Xt-1). Use the three- period moving average to forecast jobs in April Based upon the MAD (mean absolute deviation), determine whether the three-period moving average or textbook naïve method is more accurate, based upon forecasts for January through March.
35. The Mr. Meadows Cookie Company can obtain accurate forecasts for 12 months based on firm orders. These forecasts and the number of workdays per month are as follows: Demand Forecast Month (in thousands of cookies) Workdays 1 850 26 2 1,260 24 3 510 20 4 980 18 770 22 850 23 7 14 1,050 1,550 1,350 1,000 970 680 21 9. 23 10 24 11 21 12 13 During a 46-day period when there were 120 workers, the firm produced 1,700,000 cookies. Assume that there are 100 workers employed at the beginning of month 1 and zero starting inventory. a. Find the minimum constant workforce needed to meet monthly demand. b. Assume cz= $0.10 per cookie per month, cH= $100, and cp = $200. Add columns that give the cumulative on-hand inventory and inventory cost. What is the total cost of the constant workforce plan? c. Solve for the optimal plan using linear programming. Compare your solution to b.
Week Sales1 27502 31003 32504 28005 29006 30507 33008 31009 295010 300011 320012 3150Develop a three-week moving average. A.What is the forecast for week 5? (Make sure no decimal place and no comma. EX: 1234) B.What is the value of MSE (mean squared error) with regard to a three-week moving average? (Make sure no decimal place and no comma. EX: 1234) C.Develop the exponential smoothing with the alpha value of 0.20. What is the forecast for week 5? (Make sure no decimal place and no comma. EX: 1234) D.What is the value of MSE (mean squared error) with regard to the exponential smoothing? (Make sure no decimal place and no comma. EX: 1234) E.Which method is more accurate? (1 for Moving average, 2 for Exponential Smoothing)
An electronic contractor's records during the last five weeks indicate the number of jobs requests. Week 1 Requests 20 22 18 21 22 Predict the number of requests for week 6 using each of these methods: a. Naïve b. A four period moving average c. Exponential smoothing with a 0.3. Use 20 for week 2 forecast,
National Scan, Inc., sells radio frequency inventory tags. Monthly sales for a seven-month period were as follows: Month Sales (000 units)Feb. 19Mar. 18Apr. 15May 20Jun. 18Jul. 22Aug. 20 Forecast September sales volume using each of the following: (1)The naive approach. (2)A five-month moving average. (3)A weighted average using .60 for August, .30 for July, and .10 for June.
Given November actual demand of 61, November forecast of 58, and an alpha of 0.4, November trend value +1.03, Beta of 0.3 what would the forecast including trend (FIT) for the December period be using exponential smoothing model 2? Select one: a. 62.03 b. cannot be found c. 68.76 d. 65.72
Professor Shethinks Shesverybusy needs to allocate time this week for office appointments, so she needs to forecast the number of students who will seek appointments. The professor has gathered the following time series data recently: Period Student Appointments 4 weeks ago 95 3 weeks ago 80 2 weeks ago 65 Last week 50 What is this week's forecast for student appointments using a three-week moving average? а. 52 b. 80 Ос. 65 d. 78 e. 50 O O O O
The following gives the number of pints of type Bblood used a t Woodlawn Hospital in the past 6 weeks: a) Forecast the dema nd for the week of October 12 using a3-week moving average.b) Use a 3-week weighted moving average, with weights of .I , .3,and .6, using .6 for the most recent week. Forecast demand forthe week of October 12.c) Compute the forecast for the week of October 12using exponentialsmoothing with a forecast for August 31 of 360 and a = .2
1. Solve manually. The following gives the number of pints of type A blood used at Woodlawn Hospital in the past 6 weeks. Pints Used 360 Week August 31 September 7 September 14 September 21 September 28 389 410 381 368 October 5 374 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 0.1, 0.3 and 0.6, using 0.6 for the most recent week. Forecast demand for the week of October 12. c. Compute the forecast for the week of October 12 using exponential smoothing with a forecast for August 31 of 360 and c=0.2. d. Compute the MAD for the 3-week moving average, 3-week weighted moving average and exponential smoothing models above.
Time period Actual sales 1 18 2 22 If the forecasting value of period 3 is 19.6 using exponential smoothing, the smoothing constant is what?
Home-Style Cookies tracks monthly sales by type of cookie, see the following table. Month Chocolate Chip (000 units) Peanut Butter (000 units) Filled (000 units) Feb. 19 15 10 Mar. 18 14 9 Apr. 15 11 8 May 20 16 11 Jun. 18 14 10 Jul. 22 18 12 Aug. 20 16 10 Sep. Create a line chart in Excel showing monthly sales by type of cookies (each type will have its own line); then, forecast September sales volume for chocolate chip cookies using each of the following: the naïve approach; a 5-month moving average; a weighted average using .60 for August, .30 for July, and .10 for June; and a linear trend equation.