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.
Strong operational performance depends on shrewd inventory management decisions, and there are several individual considerations that go into selecting and implementing an overall plan that will work for an organization. In this course, you will explore two classic models for managing inventory and consider how choosing the appropriate model can vary depending on the goals and needs of the organization. You will apply your understanding of these concepts to build a decision-making tool and apply it to real-world business decisions.
You are required to have completed the following courses or have equivalent experience before taking this course:
- Process Performance
- Queueing Analysis
How It Works
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