Operations Management
Operations Management
17th Edition
ISBN: 9781259142208
Author: CACHON, Gérard, Terwiesch, Christian
Publisher: Mcgraw-hill Education,
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Chapter 15, Problem 4PA

A police station had to deploy police officers for emergencies multiple times the last four evenings. The numbers of emergencies for Monday, Tuesday, Wednesday, and Thursday were 7, 4, 8, and 11, respectively. What would be the station’s forecast for Friday using an exponential smoothing forecasting approach? Use α = 0.3 and a forecast for Monday of 9.

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A police station had to deploy a police officer for an emergency multiple times in the last four evenings. The table below shows the number of emergencies each evening. Weekday Number of calls each day Monday 5 Tuesday Wednesday Thursday 10 What would be their forecast for Friday using a naïve forecasting approach? Forecast for Friday calls
A security company had to deploy guards for emergencies multiple times in the last four evenings. The numbers of emergencies for Monday, Tuesday, Wednesday, and Thursday were 7, 4, 8, and 11, respectively. What would be the security company's forecast for the number of emergencies on Friday using an exponential smoothing forecasting approach? (Use \alpha= 0.2 and a forecast for Monday of 10 emergencies)
A restaurant wants to forecast its weekly sales.  Historical data (in dollars) for 15 weeks are shown in this Excel file  (also shown in Problem 6 on page 243 in the textbook). Answer the following questions related to this information: Provide insight about the time series.  What are the trends and stability of the data? What is the forecast for Week 16, using a two-period moving average?  (use cell B6 for number of periods) What is the forecast for Week 16, using a three-period moving average?  (use cell B6 for number of periods) What is the MSE for the two- and three-period moving average models?  Compare the results. Find the best number of periods for the moving average model based on MSE.

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Single Exponential Smoothing & Weighted Moving Average Time Series Forecasting; Author: Matt Macarty;https://www.youtube.com/watch?v=IjETktmL4Kg;License: Standard YouTube License, CC-BY
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