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 webinar, 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.

Join us for an hour-long joint webinar with Gurobi and End-to-End Analytics, where 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

There will be time for questions at the end of the webinar. This webinar will be presented by Dr. Nicole Taheri from End-to-End Analytics.

Dr. Nicole 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.

There are two sessions, presented in English, to choose from:

Tuesday, October 16th at 8:00am PDT (GMT -7)

Wednesday, October 17th at 3pm CEST (GMT +2)

Click on the "Show in My Time Zone" link at the top of the registration page for each webinar to see the start time in your local timezone.