Course Number: MBAA 607

SYLLABUS

Course Title: Operations Analysis and Decision Support Systems

Instructor: Richard Perle

Office: Hilton - Room 327 Phone: 338-2929 [email protected]

Office Hours: M 3:00 - 4:15 T 10:30 - 12:00 and 1:00 - 1:30 Th 10:30 - 12:00 and 1:00 - 1:30

Holidays: January 17 is a holiday - no class February 21 is a holiday - no class

Course Textbooks: Spreadsheet Modeling and Decision Analysis (4th ed.) by Cliff T. Ragsdale; a Thomson, South-Western publication, 2004 Course Description:

The course is an overview of modern concepts and analytical techniques of Management Science. Emphasis is placed on decision support system design, and how those systems are related to productivity improvement in the production of goods and services . The use of Microsoft Excel is an integral part of the course.

Course Objectives:

To understand how to model operations management and decision-making problems using management science techniques.

To understand various operations management and decision-making problems encountered in today’s business world.

To develop analytical and computer modeling skills necessary to implement and analyze decision problems.

To be able to integrate the information provided by the use of quantitative techniques and computer models into the decision-making process and be aware of the limitations of the quantitative techniques used.

Course Requirements:

Prerequisites: The student is expected to have mathematical, statistical and computer skills equivalent to the completion of one lower-division undergraduate course in algebra or calculus and one in statistics. Completion of MBAA 603 is also satisfactory preparation.

Homework: Homework problem sets will be assigned for each major course topic to supplement the assigned readings.

Computer Problems: Case problems will be assigned. The objective is to apply the Management Science approach to decision making while using an Excel computer model for data analysis. A short written report is required for each case problem. The report format will be described in class. Examinations: A midterm exam will be given on March 7 A final exam will be given on May 2 Both exams are closed-book and closed-notes; however, each student is allowed to bring in one page (8 1/2 by 11) of notes, formulas. etc.

Grades: Grade component scores are weighted as follows: Midterm 35% Final Exam 35% Computer Problems 30% Final letter grades will be assigned according to the following scale applied to the weighted average of grade component scores. A = 93 - 100 A- = 90 - 92 B+ = 86 - 89 B = 80 - 85 B- = 75 - 79 C = 70 - 79 C- = 60 - 69 F = below 60

Assignments: In order of classroom discussion.

Topic Readings 1. Introduction to Management Science Models 1 - 15

2. Linear Programming Models Formulation and Graphical Solutions 17 - 40 Excel and premium Solver Solutions 45 - 63 Sensitivity Analysis and shadow prices 143 - 154 Computer Problem Handout Application Problems 64 - 74, 81 - 88

3. Network Models The Transportation Problem 74 - 81 The Transshipment Problem 185 - 192 Computer Problem Handout The Assignment Problem 201 - 210 The Shortest Path Problem 192 - 197 The Maximal Flow Problem 210 - 214

4. Forecasting Models Introduction 515 - 518 Exponential Smoothing 525 - 529 Linear Trend 554 - 557 Quadratic Trend 558 - 560 Seasonal Indices 561 - 566 Computer Problem Handout

5. Waiting Line Models 668 - 686 Computer Problem Handout

6. Decision Analysis Models 754 - 774, 784 - 797

7. Inventory management Models Economic Order Quantity 360 - 365 Material Requirements Planning Handout