Advanced Methods for Optimal Scheduling Using Gurobi

Scheduling problems arise in a wide range of applications, and solving large-scale problems efficiently can require expert knowledge and insights. In this recording, we’ll cover advanced methods for efficiently solving large and complex scheduling problems. This is a follow-up to the previous webinar session on fundamental tips and tricks for modeling scheduling problems.

During this 40-minute recording, featuring End-to-End Analytics, we’ll leverage our experience solving large-scale scheduling problems in the real-world to present recommendations for improved efficiency, including:

  • Modeling and implementation techniques to simplify the operational process
  • Optimization-based heuristic methods to improve performance
  • Implementation tricks for linear and non-linear constrained problems

This topic is presented by Dr. Nicole Taheri from End-to-End Analytics. Dr. Taheri is a consultant with End-to-End Analytics and holds a PhD in Computational and Mathematical Engineering from Stanford University. Nicole has extensive experience applying operations research and mathematical modeling methods to find optimal solutions in a wide range of applications. Her work has centered around analyzing complex data to transform data insights into actionable recommendations that improve business processes.

You can download the materials associated with this webinar here.

Getting Gurobi

Whether you are new to optimization or switching from a competing solver, we've worked hard to make getting started with Gurobi easier for you.

Using Gurobi

To help you be as productive as possible, we offer a detailed reference manual along with numerous code examples and a wide range of videos.


At Gurobi, we provide our customers direct access to PhD-level optimization experts with years of experience working with commercial models.