WEBINAR / EVENT
Tips and Tricks for Optimal Scheduling Using Gurobi
40-minute webinar with End-to-End Analytics to learn useful tips and tricks on how to solve optimal scheduling problems in Gurobi
September 01 2022
WEBINAR / EVENT
Tips and Tricks for Optimal Scheduling Using Gurobi
40-minute webinar with End-to-End Analytics to learn useful tips and tricks on how to solve optimal scheduling problems in Gurobi
September 01 2022
WEBINAR / EVENT
Tips and Tricks for Optimal Scheduling Using Gurobi
40-minute webinar with End-to-End Analytics to learn useful tips and tricks on how to solve optimal scheduling problems in Gurobi
September 01 2022
Webinar Summary
Scheduling problems arise in a wide-range of applications that require finding the best possible sequence to perform a set of tasks, including job shop scheduling and flight scheduling. However, this problem is NP-complete, and solving large-scale problems efficiently can require expert knowledge and insights. Leveraging our experience and insights from applying these algorithms, we present recommendations and techniques to efficiently solve large-scale problems, including:
Gurobi features that increase solver performance for optimal scheduling
Tips on formulations for real-world scheduling problems, including sample problems
Implementation and tuning tricks for scheduling problems with linear and non-linear constraints
Presented Materials
Webinar Summary
Scheduling problems arise in a wide-range of applications that require finding the best possible sequence to perform a set of tasks, including job shop scheduling and flight scheduling. However, this problem is NP-complete, and solving large-scale problems efficiently can require expert knowledge and insights. Leveraging our experience and insights from applying these algorithms, we present recommendations and techniques to efficiently solve large-scale problems, including:
Gurobi features that increase solver performance for optimal scheduling
Tips on formulations for real-world scheduling problems, including sample problems
Implementation and tuning tricks for scheduling problems with linear and non-linear constraints
Presented Materials
Webinar Summary
Scheduling problems arise in a wide-range of applications that require finding the best possible sequence to perform a set of tasks, including job shop scheduling and flight scheduling. However, this problem is NP-complete, and solving large-scale problems efficiently can require expert knowledge and insights. Leveraging our experience and insights from applying these algorithms, we present recommendations and techniques to efficiently solve large-scale problems, including:
Gurobi features that increase solver performance for optimal scheduling
Tips on formulations for real-world scheduling problems, including sample problems
Implementation and tuning tricks for scheduling problems with linear and non-linear constraints
Presented Materials
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Nicole Taheri
consultant with 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.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Nicole Taheri
consultant with 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.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
consultant with End-to-End Analytics
Nicole Taheri
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.
