BA 409

Operations Research

Mark Parker

Class: T, 8:00 - 9:15, Science 114

Lab: Th, 8:00 - 9:15, Fortin 115


Other Resources

Introduction

The goal of the course is not to make you Operations Research/Management Science professionals; but rather to help you develop sufficient familiarity of OR/MS to:

  1. understand the discipline's strengths and weaknesses,
  2. objectively evaluate quantitative models that you will be expected to interpret in the future, and
  3. be able to construct and use rudimentary models.

We'll attain the last goal with a "hands-on" approach via Excel spreadsheet modeling, which is the tool of choice in the modern work environment. No prior knowledge of Excel is required; you will be taught the skills from class and the text, and gain proficiency by doing the homework problems.

Text

textbook Spreadsheet Modeling and Decision Analysis,
Fourth Edition
Cliff Ragsdale South-Western

Schedule

This schedule is tentative and may change as required.

Week Date Topic Text Chapters Homework Handouts
Week 1 Aug 26 Course Introduction 1.0 - 1.4 Homework Set 1 Handout
  Aug 28 Lab 1: Excel Basics     Lab Handout Excel Lab Lab Solution
Week 2 Sep 2 Modeling Process
Introduction to Queues
1.5 - 1.7
13.0 - 13.3
HW 1 solns
corrected 20 sept
 
  Sep 4 Lab 2: Exponential and Poisson Distributions     Lab Handout Excel Lab
Week 3 Sep 9 Queuing Models 13.0 - 13.6   Handout
  Sep 11 Lab 3: Queuing Models in Excel     Lab Handout Q.xls
Week 4 Sep 16 Finite Length and Finite Population Queues, General Queuing Models 13.7 - 13.10   Sample Exam 1
Handout
  Sep 18 Lab Project 1: Queueing Systems     Lab Handout
Week 5 Sep 23 Exam 1     Portfolio Rubric
  Sep 25 Introduction to Linear Programming 2.0 - 2.10 Group Project 1
Homework Set 2
Handout
Week 6 Sep 30 Linear Programming II: Modeling 2.11 - 2.12   Handout
  Oct 2 Lab 4: Linear Programming in Excel 3.0 - 3.7 HW 2 solutions
Part 1
Lab Handout
Wapiti Brewing.xls
Week 7 Oct 14 Sensitivity Analysis 4.0 - 4.6 Prb3-3.xls Prb3-4.xls Prb3-7.xls Prb3-9.xls Prb4-3.xls Prb4-4.xls Prb4-7.xls Handout
  Oct 16 Lab 5: LP Modeling     Lab Handout
Sweet Tooth.xls
Week 8 Oct 21 LP Modeling 3.8, 3.9, 3.11, 3.12   PowerPoint Handout
  Oct 23 LP Formulations
MEET IN THE CLASSROOM
  HW 2 solutions
Part 2
 
Week 9 Oct 28 Integer and Nonlinear Programming 6.0 - 6.8, 8.0 - 8.3 Prb3-13.xls Prb3-15.xls Prb3-16.xls Prb3-20.xls Prb3-24.xls Prb3-26.xls  
  Oct 30 Lab Project 2: The Diet Problem   Group Project 2
mcdonalds.xls sugar.xls
 
Week 10 Nov 4 Exam 2   sample test 2  
  Nov 6 Time Series Forecasting 11.0 - 11.6 Homework Set 3
Excel Forecasting template
 
Week 11 Nov 11 Regression, Multiple Regression 9.0 - 9.9, 9.11 - 9.17 Excel Regression template Handout
  Nov 13 Lab 6: Time Series and Regression     Lab Handout
Time Series.xls
Regression Examples.xls
Multiple Regression.xls
Week 12 Nov 18 Seasonality and Trends 11.7 - 11.20 (skim)    
  Nov 20 Lab 7: Seasonality and Trends 11.7 - 11.20 Group Project 3
Excel template
Excel Data
 
Week 13 Nov 25 Project Work Day   HW Set 3 revised
HW set 3 solutions
Prb9-7.xls Prb9-11.xls Prb11-4.xls Prb11-5.xls Prb11-6.xls Prb11-7.xls Prb11-8.xls Prb11-9.xls Prb11-10.xls Prb11-15.xls Prb11-17.xls Prb11-18.xls Prb11-19.xls
 
  Nov 27 Thanksgiving! No Class      
Week 14 Dec 2 Introduction to Decision Analysis 15.0 - 15.5 HW Set 4
HW Set 4 solns
Handout
  Dec 4 Decision Analysis
MEET IN THE CLASSROOM
15.6 - 15.7    
Week 15 Dec 9 Decision Analysis 15.8 - 15.9, 15.15 - 15.17    
  Dec 11 Review      
  Dec 16 Final Exam - Tuesday: 1:00 - 2:45
Hand in Portfolio
  Sample Exam  

Grading

Assignment Percentage
Portfolio 10%
Lab Projects 10%
Group Projects 30%
Examinations 50%

Your grade will translate to a letter grade as follows :


mark parker
Last modified: 21 September 2003