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BA501 : The
Class : POM :
Forecast
Forecasting
Forecasting involves predicting future events. Forecasting, as the name implies, is not certain. Forecasts are based on historical data and/or personal judgement. This lesson will focus on creating forecasts from historical data. So, if a forecast is essentially a "guess", why are they necessary? Forecasts are required in the daily activities of an organization in order to guide them into the future.
Objectives:
The objectives for this lesson are as follows:
1. Define key concepts in forecasting.
2. Define the two different types of forecasts.
3. Generate a Last Period Demand forecast.
4. Generate a Moving Average forecast.
5. Generate a Weighted Moving Average forecast.
6. Generate an Exponentially Smoothed forecast.
7. Generate a Seasonally Adjusted forecast without trend.
8. Use Linear Regression to generate a forecast.
9. Calculate the Forecast Error between two forecasts.
TEXTBOOK READING : Chapter
5 Heizer and Render
ON-LINE LESSON: Forecasting:
Introduction and Examples
ASSIGNMENT: Home
Work
Look here before beginning quiz if using a telephone modem.
SELF TEST: Practice
Quiz
The following is the Operations Management Site for the Heizer/Render text book. Explore the site.
WEB ACTIVITY: Prentice
Hall
Use WebMail to send attachments and/or messages. Put BA501 (last name) Assignment name and number somewhere in the "subject" line of your e-mail. Address to BA501@mail.cba.nau.edu
WEBMAIL:
WebMail
Go on to Production
and Planning
or
Go back to Production
Operation Management
Please reference "BA501 (your last name) Assignment name and number" in the subject line of either below.
E-mail Dr. Rakesh Pangasa at
BA501@mail.cba.nau.edu
or call (928) 344-7588. Use WebMail for attachments.
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University
ALL RIGHTS RESERVED