Operations and Supply Chain Management 9th edition
Operations and Supply Chain Management 9th edition
9th Edition
ISBN: 9781119320975
Author: Roberta S. Russell, Bernard W. Taylor III
Publisher: WILEY
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Chapter 12, Problem 12P

For the demand data in Problem 12.11, develop a seasonally adjusted forecast for year 4. (Use a linear trend line model to develop a forecast estimate for year 4.) Which forecast model do you perceive to be the most accurate, the adjusted exponential smoothing model from Problem 12.11 or the seasonally adjusted forecast?

The Bee Line Café is well known for its popular homemade ice cream, which it makes in a small plant in back of the cafe. People drive long distances to buy the ice cream. The two ladies who own the café want to develop a forecasting model so they can plan their ice cream production operation and determine the number of employees they need to sell ice cream in the café. They have accumulated the following sales records for their ice cream for the past 12 quarters:

Chapter 12, Problem 12P, For the demand data in Problem 12.11, develop a seasonally adjusted forecast for year 4. (Use a

Develop an adjusted exponential smoothing model with α = .50 and β = .50 to forecast demand, and assess its accuracy using cumulative error (E) and average error ( E ¯ ). Does there appear to be any bias in the forecast?

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Lori Cook has developed the following forecasting model: where y demand for Kool Air conditioners and x= the outside temperature (degrees Fahrenheit) a) When the temperature outside is 70° F, demand forecast = b) When the temperature outside is 80° F, demand forecast = c) When the temperature outside is 90° F, demand forecast = 2 F2 W #3 2000 E $ 4 F4 R % 5 F5 T air conditioners (enter your response as an integer). air conditioners (enter your response as an integer). air conditioners (enter your response as an integer). MacBook Air 6 F6 Y & 7 y = 36.0 +4.30x, F7 U * 8 DII FB ( 9 DD F9 V This question ) 0 0 F10
The manager of Redline Trucking believes that the demand for tires used on his trucks is closely related to the number of miles driven. He has collected the following data covering the past four months. Month 1 2 3 4 Tires Used 100 150 120 80 Miles Driven 15,000 20,000 17,000 11,000   Write an algebraic equation forecasting the demand for tires. Indicate and explain the independenet and dependant variables and the parameters used in your equation.
The table below comprises of demand from the last 10 months: Month Demand 1 31 2 34 3 33 4 35 5 37 6 36 7 38 8 40 9 40 10 41 Calculate the exponential smoothing with trend forecast for the second month using a alpha and delta of 0.3 each. Take the initial exponentially smoothed forecast (F1) of 30 and initial trend forecast (T1) of 1.  Note: I have tried solving this question and I got 31, but unfortunately it was the wrong answer.

Chapter 12 Solutions

Operations and Supply Chain Management 9th edition

Ch. 12 - In the chapter examples for time series methods,...Ch. 12 - What effect on the exponential smoothing model...Ch. 12 - How does adjusted exponential smoothing differ...Ch. 12 - What determines the choice of the smoothing...Ch. 12 - How does the linear trend line forecasting model...Ch. 12 - Of the time series models presented in this...Ch. 12 - What advantages does adjusted exponential...Ch. 12 - Describe how a forecast is monitored to detect...Ch. 12 - Explain the relationship between the use of a...Ch. 12 - Selecting from MAD, MAPD, MSE, E, and E, which...Ch. 12 - What is the difference between linear and multiple...Ch. 12 - Define the different components (y, x, a, and b)...Ch. 12 - A company that produces video equipment, including...Ch. 12 - The Hartley-Davis motorcycle dealer in the...Ch. 12 - The manager of the I-85 Carpet Outlet needs to be...Ch. 12 - The LawnPlus Fertilizer Company distributes...Ch. 12 - Graph the demand data in Problem 12.3. Can you...Ch. 12 - The chairperson of the department of management at...Ch. 12 - The manager of the Excom Service Station wants to...Ch. 12 - The Intrepid mutual fund of growth stocks has had...Ch. 12 - The Oceanside Hotel is adjacent to City Coliseum,...Ch. 12 - Mary Hernandez has invested in a stock mutual fund...Ch. 12 - Globetron manufactures components for use in small...Ch. 12 - The Bee Line Caf is well known for its popular...Ch. 12 - For the demand data in Problem 12.11, develop a...Ch. 12 - Develop a seasonally adjusted forecast for the...Ch. 12 - Backstreets Pizza delivery service has randomly...Ch. 12 - The Willow River Mining Company mines and ships...Ch. 12 - The Great Northwest Outdoor Company is a catalog...Ch. 12 - Townside Food Vending operates vending machines in...Ch. 12 - The town aquatic center has an indoor pool that...Ch. 12 - Develop an adjusted exponential smoothing forecast...Ch. 12 - During the past five months the emergency room at...Ch. 12 - At its craft store and through its website, the...Ch. 12 - A group of business students at Tech organized a...Ch. 12 - Temco Industries has developed a forecasting model...Ch. 12 - Monitor the forecast in Problem 12.23 for bias...Ch. 12 - Develop a statistical control chart for the...Ch. 12 - Monitor the adjusted exponential smoothing...Ch. 12 - Develop an exponential smoothing forecast with =...

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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
Introduction to Forecasting - with Examples; Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=98K7AG32qv8;License: Standard Youtube License