The Bayside Fountain Hotel is adjacent to County Coliseum, a 24,000-seat arena that is home to the city's professional basketball and ice hockey teams andthat 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, sincethe coliseum opened. Compute an exponentially smoothed forecast with an a valueof .20. According to the result from Excel and/or POM-QM, the forecast for the year 5would be (type number only, two decimals)YearOccupancy Rate (%)1234567896.26837875818685899086 In the Bayside Fountain Hotel problem, compute an adjusted exponentially smoothedforecast with a = .20and B=.20. According to the result from Excel and/or POM-QM, the forecast for theyear 10 would be (type number only, two decimals)90.32

Forecasting refers to making predictions or estimations regarding future outcomes. Forecasting is…

Answered: he hotel has experi nced the following…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

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Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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a. A manufacturing firm manufactures electric motors. The sales during the last four months (starting from the first month) has been: 96, 75, 89, and 68 units. The forecast for the first month was 80 units. Using the exponential smoothing method with a = .70, predict the next moth's sales. Calculate the mean absolute percent deviation for this data and comment on the performance of the forecasting method. b. Using the rule lot size=multiple of 50, determine the planned order releases for each week in the following MRP record. The lead time is 2 weeks. IS
Given an actual demand this period of 90, a forecast for this period of 58, and an alpha of 0.2, what would the forecast for the next period be using exponential smoothing?
Given: Year Demand 1 7 2 9 3 5 4 9 5 Predict the value for Year 5: 2 year moving average What is MSE for 2 year moving average? 2 year moving average using 0.6 (weight for the oldest period) and 0.4(weight for most recent period Exponential smoothing, =0.2 and forecast for Year 1 = 5 Linear trend Which forecast method has the least amount of error using MAD? What is the coefficient?
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Café Michigan's manager, Gary Stark, suspects that demand for mocha latte coffees depends on the price being charged. Based on historical observations, Gary has gathered the following data, which show the numbers of these coffees sold over six different price values: D Price $2.50 $3.40 $2.10 $4.30 $3.00 $4.10 Using simple linear regression and given that the price per cup is $1.75, the forecasted demand for mocha latte coffees will be cups (enter your response rounded to one decimal place). Number Sold 765 515 975 245 315 480
Calculate MSE for the 4 periods for which the actual and forecasted number of customers given in the table below: Forecasted Actual Number Period Number of Error of Customers Customers 1 1,975 2,000 2 2,050 2,025 3 1,925 1,975 4 2,075 2,025 390.63 37.5 6,250 True1,562.5
Asvnch Problem - Statistical Forecasting Data Set – Eunice BC Fashion Monthly Sales, in million units. Year Total Sales Year Total Sales 2010 38 2016 43 2011 41 2017 40 2012 40 2018 45 2013 45 2019 47 2014 50 2020 42 2015 42 2021 48 Questions: a. Find the naïve forecast. b. Use the 3 years moving average forecast. c. Have a 5 years weighted moving average. d. Develop forecast using exponential smoothing with a = 0.2. e. Determine the trend line equation and present the forecast. f. Find the best forecast for year 2022. Note: Use the first 5 years as the training samples and the last 5 years as the forecasting samples. Solve it in Excel Sheet/Sheet with Equations as possible.
Use the following data to determine the tracking signal for period 4. Actual Forecast 10 16 23 16 50 49 63 59 108 106 122 118 a. 1.333 b. 1.108 c. 0.742 d. 0.429
please answer in excel Jean’s Copiers sells and repairs photocopy machines. The manager needs weekly forecasts of service calls so that she can schedule the personnel. The manager uses α = 0.3 for exponential smoothing, and the forecast for the first week was 24 calls. The manager also uses 3 weekly moving averages technique. a) Using 3 period moving averages, forecast the number of calls for week 7. b) Using exponential smoothing, forecast the number of calls for week 7. c) Compare these two forecasting techniques using Mean Squared Errors (MSE) measure. Which one is better?
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he hotel has experi nced the following occupancy rates for ne past the coliseum opened. Compute an exponentially smoothed forecast with an a 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)