QUESTIONS:Quarterly demand for a washing machine is as shown.1. After obtaining initial estimates for level, trend, and seasonal factors. forecast the demand for the firstquarter of year III using Winter's model with a 6- - 0,25 where x is the last two digits of yourstudent number.2. Make a tracking signal analysis for the forecast and evaluateMaksYearIIIQuarter12341234Demand19001224400056004800104862008000

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Answered: QUESTIONS: Quarterly demand for a…

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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Given the following original forecast and actual data: Month Actual Forecast Jan 600 Feb 475 Mar 550 Apr 575 May 643 Jun 662 Jul ??? ??? Using a 2 month weighted moving average with weights of 75% for the previous month and 25% for two months back, what is the forecast for July. Round your answer to 1 decimal place. 400 -- —— ——
b5 need urgent in 15 minutes
a. Use a 3-month moving average to estimate the month-in-advance forecast of demand for months 4–12 and generate a forecast for the first month of next year. Calculate the average forecast error and mean absolute error. b. Use a 3-month weighted moving average with weights of 0.6, 0.3, 0.1 (most recent to least recent, respectively) to calculate month-in-advance forecasts for months 4–12 and forecast for the first month of next year. Calculate the average forecast error and mean absolute error. c. Compare the average forecast error and MAD for the forecasting methods in parts a and b. Based on these error calculations, which of the two forecast methods would you recommend? Why?
Part C Exponential Exponential Gasoline Demand Gasoline Month smoothed forecast smoothed forecast Exponential smoothed forecast (a = 0.25) Demand (a = 0.25) (a = 0.45) Exponential smoothed forecast (a = 0.45) Mar 900 920 920 1200 Apr May 755 915.00 911.00 1100 1000 650 875.00 840.80 g20 915.00 846 80 755 818.75 754.94 904.76 835.12 Jun 550 818.75 754.94 800 320 751.56 66272 645.74 746.83 Jul 625 751.56 662.72 650 600 550 Aug Sep 730 719.92 645.74 820 722.44 683.66 400 D Oct 1100 746.83 745.01 200 1 Nov 835.12 904.76 Mar Apr May Jun Jul Aug Sep Oct Nov 1. Make a comparative analysis out of your answers in the plotted data. (3-5 5 sentences)
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…
24,000-seat arena that is home to the city’s professional basketball and ice hockey teams and that hosts a variety of concerts, trade shows, and conventions throughout the year. The hotel has experienced the following occupancy rates for the past 9 years, since the coliseum opened. Compute an exponentially smoothed forecast with an α value of .20. According to the result from Excel and/or POM-QM, the forecast for the year 5 would be (type number only, two decimals) 1 83 2 78 3 75 4 81 5 86 6 85 7 89 8 90 9 86
ABC Inc. sells patio sets. Monthly sales for a seven-month period were as follows: Month Sales (000) Unites Feb 19 Mar 18 Apr 15 May 20 Jun 18 Jul 22 Aug 20 Forecast September sales volume using a weighted average approach using 0.60 for August, 0.30 for July, and 0.10 for June.
Justify exponential smoothing's superiority to moving averages as a forecasting method.
Passenger miles flown on Northeast Airlines, a commuterfirm serving the Boston hub, a re shown for the past 12weeks: a) Assuming an initial forecast for week I of 17,000 miles, useexponential smoothing to compute miles for weeks 2 through12. Use a= .2b) What is the MAD for tlus model?c) Compute the Cumulative Forecast Errors and tracking signals. Are they within acceptable limits?
State examples of industries affected by seasonality and reasons to eliminate seasonality in their business in forecasting ?
1 The demand for automobiles at Crescent Auto Dealers for the past 8 weeks is as follows. Week Auto Demand Weights1 9 0.12 11 0.33 8 0.64 125 106 137 78 12a Develop a 3-week moving average forecast for Weeks 4 through 9b Develop a 3-week weighted average forecast…
2. The AirGo is the largest publicly listed low budget airlines company. On the negative side for the company, which spent billions of dollars in development costs, is the consistently negative cash flow due to poor prediction of its passengers. Question: Airlines company approaches you to suggest possible methods for an effective Forecast and it's Monitoring & Controlling. Help the airlines for the better prediction of its passengers.

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