Course Description

Course Name

Operations Management

Session: VPRS3121

Hours & Credits

3 US Credits

Prerequisites & Language Level

Taught In English

  • There is no language prerequisite for courses at this language level.

Overview

COURSE DESCRIPTION:
Operations Management course is designed to give students a head start in the subject and introduce them to the key quantitative methods that are essential to decision-making process for every operations manager.
 
COURSE OBJECTIVES:
It is hoped that the students will understand Operations management concepts that support decision-making in four major areas:
1. Operations Strategy
2. Supply Network Design
3. Planning and Control
4. Improvement
 
The class will be developed through readings, lectures, oral presentations and cases studies.
Presence in class is mandatory. More than 2 absences will lead to a failing grade.
 
EXPECTED LEARNING OUTCOMES:
Upon completion of this course, students should be able to understand:
1. Time Series and Linear Regression Analysis
2. Earning Before Interest & Tax (EBIT) and net present value (NPV)
3. Productivity and Value-added Throughput Efficiency
4. Work Measurement and Mean Time Between Failure (MTBF)
5. Measuring Capacity and Overall Equipment Effectiveness (OEE)
6. Break-even Analysis and Weighted Score Method
7. Linear Programming and Transportation Method
8. Optimizing Location and Inventory
 
EVALUATIONS:
The final grade will be determine as follow:
  • Midterm Exam N°1 ? Quantitative Analysis Test = 20%
  • Midterm Exam N°2 ? Quantitative Analysis Test = 20%
  • Group Project ? Video Presentation = 20%
  • Final Exam ? Case Exercise = 20%
  • Class Participation = 20%
COURSE SCHEDULE:
Session 1
Introduction to: Group Project Assignment & Requirement
 
Session 2
CHAPTER 1 QUESTIONS
Predictive Techniques:
  • Time Series Analysis
  • Linear Regression Analysis
Session 3
CHAPTER 2 QUESTIONS
Descriptive Techniques:
  • Earning Before Interest and Tax
  • Net Present Value
Session 4
CHAPTER 2 QUESTIONS
Descriptive Techniques:
  • Productivity
  • Value-added Throughput Efficiency
Session 5
CHAPTER 2 QUESTIONS
Descriptive Techniques:
  • Measuring Capacity
  • Overall Equipment Effectiveness
Session 6
CHAPTER 2 QUESTIONS
Descriptive Techniques:
  • Little?s Law
  • Balancing Loss
Session 7
MIDTERM EXAM N°1
Quantitative Analysis Test:
  • Predictive Techniques
  • Descriptive Techniques
Session 8
CHAPTER 3 QUESTIONS
Evaluative Techniques:
  • Break-even Analysis
  • Weighted Score Method
Session 9
CHAPTER 3 QUESTIONS
Evaluative Techniques:
  • Decision Theory
  • Decision Trees
Session 10
CHAPTER 4 QUESTIONS
Optimizing Techniques:
  • Optimizing Location
  • Optimizing Inventory
Session 11
CHAPTER 4 QUESTIONS
Optimizing Techniques:
  • Linear Programming
  • Transportation Method
Session 12
MIDTERM EXAM N°2
Quantitative Analysis Test:
  • Evaluative Techniques
  • Optimizing Techniques
TBD
FINAL EXAM
Case Exercise:
  • Operations Strategy
  • Operations Performance

*Course content subject to change