Natalia Santamaría teaches classes in project management and operations management for non-business graduate students. Her research, which focuses on competitive bidding and decision making under competition and uncertainty, has been published in Management Science, Manufacturing & Service Operations Management, and Production and Operations Management. Prior to joining Johnson in 2014, she was an assistant professor in the industrial engineering school at Universidad de Los Andes in Colombia. She earned a BS and an MSc in industrial engineering from Universidad de Los Andes, an MSc in operations research from Rutgers University, and a Ph.D. in supply chain management and operations research from the Pennsylvania State University.
Decision Support Models for OperationsCornell Course
Decision Support Models for Operations ()
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Course Overview
Decision making is an indispensable professional skill for those working in an operations management setting. In this course, you will explore three different tools that aid in the development and implementation of this key skill. You will examine each method and see how each is meant to be used in resolving decision problems related to production, inventory, and risk. By the end of this course, you will have gained applicable skills that support your operations management work across any industry.
You are required to have completed the following courses or have equivalent experience before taking this course:
- Process Performance
- Queueing Analysis
- Inventory Management Analysis
Key Course Takeaways
- Formulate an optimization problem
- Solve optimization problems
- Simulate random events using Monte Carlo simulation
How It Works
Course Length
2 weeks
Effort
5 to 8 hours of study per week
Format
100% online, instructor-led
Course Author
Natalia Santamaría
Visiting Senior Lecturer
Cornell SC Johnson College of Business
Visiting Senior Lecturer of Operations Management
Who Should Enroll
- Operations leaders
- Team members responsible for building and improving operations processes
- Individual contributors and leaders who build data models to support decision making
- Data analysts
- Anyone seeking foundational quantitative skills through an operations lens
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