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BA501
: The Class
: POM
Production and Operation
Management
Operations is an exciting area of management that has a profound effect on production and productivity. Operations management includes a blend of topics from accounting, industrial engineering, management science, and statistics. Operations management jobs can be challenging, important, and rewarding, and can lead to successful careers. Even if you are not employed in the operations area, the concepts can often be applied to other disciplines, and can help you understand how the discipline functions and impacts your life (Heizer and Render, 1999).
The major topics in production operations management include Total Quality Management, Statistical Control Processes, Control Charting, Queuing Theory, Forecasting, Production Planning, Inventory Management, and Just in Time strategies.
In
addition to the material available at this web site, you will use myPhlip
provided by Prentice Hall. MyPhlip is an interactive web site specfically covering
the contents of the Heizer/Render (POM) textbook assigned in this course. The
is no charge for the use of this site. At the web site for the textbook, click
the cover of the Heizer/Render textbook. Under Student Login, find "First
time user? Students register here." Click the link and fill out all
information requested. The next time you login using the spaces to give your
e-mail address (DANA account only) and password. Take the both multiple choice
exams associated with each chapter. E-mail the results to yourself (but not
me). These exams are found on the web site for the textbook under "Study
Guide" for each chapter. Click here
to continue.
Objectives:
1. Study text material and on-line material to gain a beginning knowledge level in production operations management.
2. Work specific problems in each topic area.
3. Utilize Excel to solve problems in POM.
4. Fill out the course evaluation.
This module is divided into 7 topics. To complete this Module successfully, please complete the topics in the order shown below:
Go back to Quantitative Methods and Planning
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.
Copyright 2002 Northern
Arizona University
ALL RIGHTS RESERVED