Concept explainers
A
Interpretation:Determine the busiest and also the least busy day of the week, considering the unique appearances of the website.
Concept Introduction: Most of the
B
Interpretation:Observe the unique appearances for Monday and Tuesday, and de-seasonalise them, and provide your comments on Monday and Tuesday in last week.
Concept Introduction:Most of the forecasting methods are based on the past performances of another organization in the similar industry. The process involved in the predicting of future occurrences is call forecasting.
C
Interpretation:Considering the given estimates, provide the most logical estimate for the unique appearances on Thursday and Friday of the week.
Concept Introduction: Most of the forecasting methods are based on the past performances of another organization in the similar industry. The process involved in the predicting of future occurrences is call forecasting.
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Practical Operations Management
- Under what conditions might a firm use multiple forecasting methods?arrow_forwardExplain why such forecasting devices as moving averages, weighted moving averages, and exponential smoothing are not well suited for data series that have trendsarrow_forwardDescribe how is the moving average approach equivalent to exponential smoothing?arrow_forward
- Which forecasting model assumes that what will happen in the immediately succeeding period is most likely similar to what happened this period than to that of, say, three periods ago?arrow_forwardAmong the following forecasting techniques, which one utilizes both past time period forecast and past time period actual demand to calculate the forecasted demand? Weighted Moving Average Simple Moving Average Naive Method Exponential Smoothingarrow_forwardThe accompanying dataset shows the monthly number of new car sales in the last two years. Implement the Holt-Winters multiplicative seasonality model with trend. Find the best combination of a, ß, and y to minimize MSE. a = 0.2, B = 1, y =0.2; a = 0.6, ß = 0.4, y = 0.6 E Click the icon to view the new car sales data. First find the MSE for each set of values, a, B, and y. (Round to the nearest whole number as needed.) MSE 0.2 1 0.2 0.6 0.4 0.6arrow_forward
- Explain how is the moving average equivalent to exponential smoothing ?arrow_forwardProfessor Z needs to allocate time among several tasks next week to include time for students' appointments. Thus, he needs to forecast the number of students who will seek appointments. He has gathered the following data: Week Number of students6 Weeks ago 515 Weeks ago 794 Weeks ago 833 Weeks ago 892 Weeks ago 71Last Week 93 What is this week's forecast using exponential smoothing with alpha = 0.3 , if the forecast for two weeks ago was 77 ? a. 75.2 b. 78.8 c. 69.86 d. 80.54arrow_forwardWhen a product is new and there is no historical data, the most promising method to forecast this new product is? Winters’ Exponential Smoothing Model Analogy Holt’s Exponential Smoothing Model Event modelingarrow_forward
- Using exponential smoothing with alpha = .2, and assuming the forecast for period 11 was 80, what would the forecast for period 14 be?arrow_forwardQuantitative forecasting should be preferred over qualitative forecasting since they involve computations and are, therefore, more accurate. True Falsearrow_forwardWhat advantages does adjusted exponential smoothing have over a linear trend line for forecasted demand that exhibits a trend?arrow_forward
- Contemporary MarketingMarketingISBN:9780357033777Author:Louis E. Boone, David L. KurtzPublisher:Cengage LearningMarketingMarketingISBN:9780357033791Author:Pride, William MPublisher:South Western Educational Publishing