ISyE 323: Operations Research-Deterministic Modeling

Home : Courses :
ISyE 323 - Operations Research-Deterministic Modeling

WWW Resources

Timetable Information

Engineering Courses on the Web (eCOW)

Create eCOW Course Homepage

Archive

ISYE 323: Operations Research-Deterministic Modeling, Fall 2003 (Miller), formerly Course Homepage of Miller

ISYE 323: Operations Research-Deterministic Modeling, Fall 1999 (Bier), formerly Course Homepage of instructor Bier

eCOW 2.0 -Pilot-

Create PILOT eCOW 2.0 Course Homepage

Edit This Page

Catalog Description

323 Operations ResearchDeterministic Modeling. I; 3 cr. Basic techniques for modeling and optimizing deterministic systems with emphasis on linear programming. Computer solution of optimization problems. Applications to production, logistics, and service systems. P: IE 313, Math 222, and either Math 320 or 340.

Course Prerequisite(s)

ISyE 313
Math 222
Math 320 or 340

Prerequisite knowledge and/or skills

Understanding of basic economic concepts, including time value of money.
Mathematical preparation in calculus (including partial derivatives) and elementary linear algebra.

Textbook(s) and/or other required material

Wayne L. Winston and S. Christian Albright, Practical Management Science: Spreadsheet Modeling and Applications, 2d Edition, Duxbury/Thomson Learning, 2001; ISBN 0-534-37135-3.

Course objectives

Understand the major capabilities and limitations of deterministic operations research modeling as applied to problems in industry or government.
Be able to recognize, formulate and, using prepared computer packages, solve allocation models of static or dynamic type.
Understand the reasons why the applicable algorithms work, and the effects on the computed solutions of variations in the data or in the assumptions underlying the models.
Be able to communicate the results of the modeling process to users who are not operations research specialists.

Topics covered

Use of spreadsheets and modeling languages
Basic linear programming models, including production planning
Network flow models
Linear integer programming models, including location, fixed charge, and either-or models
Nonlinear programming models; local and global optimality; applications in various areas
Special optimization models of interest

Class/laboratory schedule

Lecture: 3 50-minute periods per week
Discussion/lab: 1 50-minute period per week

Contribution of course to meeting the professional component

This course contributes primarily to the students' knowledge of engineering topics, and does provide design experience.

The following statement indicates which of the following considerations are included in this course: economic, environmental, ethical, political, societal, health and safety, manufacturability, sustainability.

The course stresses economic considerations very heavily. There is coverage to some extent of environmental, ethical, and societal considerations.

Relationship of course to undergraduate degree program objectives and outcomes

This course primarily serves students in the department. The information below describes how the course contributes to the undergraduate program objectives.

The course helps student to understand the process of modeling complex problems to identify possible solutions and process improvements. It provides them with extensive hands-on experience in the use of modeling tools such as spreadsheets.

Assessment of student progress toward course objectives

Homework: weekly modeling assignments
Two in-class exams of 50 minutes each
One final exam of two hours
Additional assessment methods may include case studies, open-ended design projects, and weekly "journals" in which students ask questions about material that remains unclear to them

Person(s) who prepared this description

Andrew J. Miller
Stephen M. Robinson
Vicki M. Bier

Copyright 2007 The Board of Regents of the University of Wisconsin System
Date last modified: 28-Dec-2007
Content by: prpeters@engr.wisc.edu
Accessibility

Web services
Thank you for visiting http://www.engr.wisc.edu//ie/courses/ie323.html

Archive

eCOW 2.0 -Pilot-