Course details

Decision Support Tools for the Operations Manager

OPER 60550A
This course focuses on analytically modeling and analyzing typical business problems from operations and logistics management. We apply modeling concepts that are used behind the screen of many Decision Support Systems, including optimization, simulation, decision trees and linear regression.
Through examples, class discussions, case studies and workshops, students become familiar with the concepts, the solution approaches, the interpretation and the practical applications in Operations Management. We will make use of some Excel-based decision support tools (Solver, PrecisionTree, @Risk, Data Analysis Tool) to analyze these business problems. The focus is on the various applications. The aim of the course is:

- to develop analytical skills to structure, model and solve business decision problems in the area of Operations and Logistics Management and interpret the solution output. The methodologies used are optimization (linear and integer programming), Monte Carlo simulations, decision trees and linear regression;

- to develop practical skills in solving these problems by hands-on experience with Excel-based decision support tools;

- to discuss and analyze typical applications for these decision support tools in Operations and Logistics Management.
Themes covered

Linear and mixed integer programming (methodology)
Data Envelopment Analysis (DEA) (methodology)
Decision trees (methodology)
Monte Carlo Simulation (methodology)
Linear Regression (methodology)
Production and distribution planning (application)
Performance measurement (application)
Investment decisions (application)
Portfolio analysis (application)
Project planning (application)
Revenue management (application)

Important notes
Course in French : OPER 60550
Course code
OPER 60550A
Subject
Operations and logistics
Program
Master of Science (MSc)
Location
Côte-des-Neiges
Instruction mode
On-site learning
Credits
3

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