Using a weighted moving average with weights of 0.55, 0.35, and 0.15, for periods 3, 2, and 1 respectively, find the forecast for period 4.Period, X-2-1123Select one:Output, Y456810a. 9.38b. 10.0C. 8.25d. 13.25An assembly line currently produces 1,600 bronze valves using a 10-hour shift. If productivity is increased by 10%, it would then beSelect one:a. 220 valves/hrb. 200 valves/hrc. 1,760 valves/hrd. 176 valves/hr The goal of six-sigma quality in the service industry is toSelect one:a. ensure 99.7% non-defective output because the control limits are at +3 standard deviationsb. encourage customers to change their specifications so that the process can be capablec. train all workers to be black beltsd. reduce variation so that the process will virtually always meet customer specificationsWhat name is given to the process of randomly inspecting a sample of goods and deciding whether or not to accept the whole lot based on theresults?Select one:a. Monitoring and Evaluationb. Statistical Process Controlc. Quality Assuranced. Acceptance Sampling

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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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Using exponential smoothing with alpha = .2, and assuming the forecast for period 11 was 80, what would the forecast for period 14 be?
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…
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
Given the actual demand of 300, the previous forecast of 300, and an alpha of 0.048 , which one of the following is closest to the forecast for the next period be using simple exponential smoothing? Select one: a. 330 b. 300 c. 420 d. 150
Month Jan Feb Mar Apr Answer: Demand Using a 3-month weighted moving average forecasting method with weights of 50% for the most recent demand, 30% for demand from 2 periods before, and 20% from 3 periods back, what is the forecast for May? Answer to 1 decimal place. Check 130 123 100 80
Sales for a product for the past three months have been 203, 365, and 293. Use a three-month moving average to calculate a forecast for the fourth month. If the actual demand for month 4 turns out to be 318, calculate the forecast for month 5. (Round your answers to 2 decimal places, e.g. 15.25.)
Sales of Volkswagen's popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). Year 1 2 3 4 5 Sales 460 502 520 575 575 a) Forecasted sales for year 6 using the trend projection (linear regression) method are sales (round your response to one decimal place).
The following table shows the actual demand observed over the last 11 years: Year 1 2 3 4 5 6 7 8 9 10 11 Demand 6 8 4 9 13 8 11 14 9 13 7 Part 2 Using exponential smoothing with α = 0.40 and a forecast for year 1 of 5.0, provide the forecast from periods 2 through 12 (round your responses to one decimal place). Year 1 2 3 4 5 6 7 8 9 10 11 12 Forecast 5.0 5.45.4 6.46.4 5.55.5 6.96.9 9.39.3 8.88.8 9.79.7 11.411.4 10.410.4 11.511.5 9.79.7 Part 3 Provide the forecast from periods 2 through 12 using the naive approach (enter your responses as whole numbers). Year 2 3 4 5 6 7 8 9 10 11 12 Forecast enter your response here enter your response here enter your response here enter your…
Problem 5 You are trying to determine what forecast method to use. Based upon the following historical data, calculate the following forecast and specify what procedure you would utilize. MAY JUNE MONTH JANUARY FEBRUARY MARCH APRIL DEMAND 62 65 67 68 71 73 MONTH JULY AUGUST SEPTEMBER OCTOBER NOVEMBER DECEMBER DEMAND 76 78 78 80 84 85 a. Calculate the simple three-month moving average for periods 4 to 12. b. Calculate the weighted three-month moving average for periods 4 to 12. Use weights of 0.50, 0.30, and 0.20 for the most recent, second most recent, and third most recent periods, respectively. c. Calculate the single exponential smoothing forecast for periods 2 to 12 using an initial forecast (F₁) of 61 and a of 0.30. d. Calculate the exponential smoothing with trend component forecast for periods 2 to 12 using an initial trend forecast (T₁) of 1.8, and initial exponential smoothing forecast (F₁) of 60, an a of 0.30 and ō of 0.30. e. Calculate the MAD for the forecasts made by each…
Historical sales data is shown below. Week Actual Forecast 1 328 300 2 272 3 245 4 223 5 205 6 Using alpha (α) = 0.2, what is the exponential smoothing forecast for period 6? Note: Round your answer to 2 decimal places. Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.
Forecast based on averages. Given the following data: Period Number of Complaints 1 70 2 75 3 65 4 68 5 74 Prepare a forecast for period 6 using each of these approaches: a. A weighted average using weights of .50 (most recent), .30, .20 b. Exponential smoothing with a smoothing constant of .40
The following table shows the actual demand observed over the last 11 years: Year 1 2 3 4 5 6 7 8 9 10 11 Demand 6 8 4 10 11 9 12 12 8 13 6 This exercise contains only parts b, c, and d. b) Using the 3-year moving average, provide the forecast from periods 4 through 12 (round your responses to one decimal place). Year 4 5 6 7 8 9 10 11 12 Forecast 66 7.337.33 8.338.33 1010 10.6610.66 1111 10.6610.66 1111 99 c) Using the 3-year weighted moving average with weights 0.15, 0.30, and 0.55, using 0.55 for the most recent period, provide the forecast from periods 4 through 12 (round your responses to two decimal places).

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Using a weighted moving average with weights of 0.55, 0.35, and 0.15, for periods 3, 2, and 1 respectively, find the forecast for period 4. Period, X -2 -1 1 2 3 Select one: Output, Y 4 8 9. 10 a. 9.38 b. 10.0 c. 8.25 d. 13.25