In-Person event

Gurobi Connect Chicago

May 15, 2024

In-Person event

Gurobi Connect Chicago

May 15, 2024

In-Person event

Gurobi Connect Chicago

May 15, 2024

Highlights and Key Takeaways This free one day event included informative presentations, training and tips from our experts. Plus, a presentation from our trusted partner, Decision Spot. See below to browse the slides presented at the event:   Hidden Gems: Useful Gurobi Features You May Not Know In this session, we review powerful features that are part of the Gurobi Optimizer which can be used to take your applications to the next level. We provide tools to make it easy to incorporate multiple objectives, scenario analysis, nonlinear functions, and more into your optimization models. There are also features like warm starts and variable partitioning that can enhance the solver performance. Learning how to correctly use these features can streamline your modeling efforts and inspire new application ideas.   Improving Decision-Making with Practical AI Even after implementing advanced planning software, companies often still rely on spreadsheet modeling, institutional knowledge, BI reports, and gut feelings to make many significant decisions regularly. This session dives deep into the limitations of traditional planning methods and unveils opportunities we have uncovered in the supply chain domain in the past. We'll explore real-world case studies showcasing how businesses leveraged decision-support solutions and our approach to quickly implement them to unlock significant improvements in their supply chain performance.   Performance Tuning Application performance is dependent on multiple factors. This session guides the audience through common pitfalls that impact application performance. We will cover tuning opportunities, Gurobi parameters and finish with tuning exercises. Bring your laptops and join in the fun.   Advanced Modeling This session focuses on advanced modeling features in the Gurobi API. The first part gives a brief introduction about modeling extensions in the Gurobi Python API. The second part covers modeling tools for non-linear and logic functions with a focus on linearization. The third part covers Gurobi's ability to solve multi-objective optimization problems.

Highlights and Key Takeaways This free one day event included informative presentations, training and tips from our experts. Plus, a presentation from our trusted partner, Decision Spot. See below to browse the slides presented at the event:   Hidden Gems: Useful Gurobi Features You May Not Know In this session, we review powerful features that are part of the Gurobi Optimizer which can be used to take your applications to the next level. We provide tools to make it easy to incorporate multiple objectives, scenario analysis, nonlinear functions, and more into your optimization models. There are also features like warm starts and variable partitioning that can enhance the solver performance. Learning how to correctly use these features can streamline your modeling efforts and inspire new application ideas.   Improving Decision-Making with Practical AI Even after implementing advanced planning software, companies often still rely on spreadsheet modeling, institutional knowledge, BI reports, and gut feelings to make many significant decisions regularly. This session dives deep into the limitations of traditional planning methods and unveils opportunities we have uncovered in the supply chain domain in the past. We'll explore real-world case studies showcasing how businesses leveraged decision-support solutions and our approach to quickly implement them to unlock significant improvements in their supply chain performance.   Performance Tuning Application performance is dependent on multiple factors. This session guides the audience through common pitfalls that impact application performance. We will cover tuning opportunities, Gurobi parameters and finish with tuning exercises. Bring your laptops and join in the fun.   Advanced Modeling This session focuses on advanced modeling features in the Gurobi API. The first part gives a brief introduction about modeling extensions in the Gurobi Python API. The second part covers modeling tools for non-linear and logic functions with a focus on linearization. The third part covers Gurobi's ability to solve multi-objective optimization problems.

Highlights and Key Takeaways This free one day event included informative presentations, training and tips from our experts. Plus, a presentation from our trusted partner, Decision Spot. See below to browse the slides presented at the event:   Hidden Gems: Useful Gurobi Features You May Not Know In this session, we review powerful features that are part of the Gurobi Optimizer which can be used to take your applications to the next level. We provide tools to make it easy to incorporate multiple objectives, scenario analysis, nonlinear functions, and more into your optimization models. There are also features like warm starts and variable partitioning that can enhance the solver performance. Learning how to correctly use these features can streamline your modeling efforts and inspire new application ideas.   Improving Decision-Making with Practical AI Even after implementing advanced planning software, companies often still rely on spreadsheet modeling, institutional knowledge, BI reports, and gut feelings to make many significant decisions regularly. This session dives deep into the limitations of traditional planning methods and unveils opportunities we have uncovered in the supply chain domain in the past. We'll explore real-world case studies showcasing how businesses leveraged decision-support solutions and our approach to quickly implement them to unlock significant improvements in their supply chain performance.   Performance Tuning Application performance is dependent on multiple factors. This session guides the audience through common pitfalls that impact application performance. We will cover tuning opportunities, Gurobi parameters and finish with tuning exercises. Bring your laptops and join in the fun.   Advanced Modeling This session focuses on advanced modeling features in the Gurobi API. The first part gives a brief introduction about modeling extensions in the Gurobi Python API. The second part covers modeling tools for non-linear and logic functions with a focus on linearization. The third part covers Gurobi's ability to solve multi-objective optimization problems.

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.

  • Pawit Singcornrum

    Account Executive, Renewals-Japan

    Image

    Pawit is originally from Thailand and holds a Bachelor degree in Business and Administration from Thailand and an Associate degree in Computer Science from Japan. He is an IT professional with over seven years of experience in account management and renewals across the Asia-Pacific region, including Japan, Thailand, Taiwan, and Hong Kong, combining technical expertise with a strong cross-cultural perspective.


    Trilingual in Thai, English, and Japanese and specializing in building strong client relationships and driving successful renewal strategies across diverse markets with proven track record of managing accounts, supporting business growth, and delivering consistent value to customers.


    In his free time, Pawit enjoys exploring emerging technologies such as AI models and AI agents, as well as developing creative skills like video editing. 

  • David Torres Sanchez

    Mathematical Optimization QA Engineer

    Image

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

  • David Torres Sanchez

    Mathematical Optimization QA Engineer

    Image

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

  • David Torres Sanchez

    Mathematical Optimization QA Engineer

    Image

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

  • David Torres Sanchez

    Mathematical Optimization QA Engineer

    Image

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

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.

  • Image

    Account Executive, Renewals-Japan

    Pawit Singcornrum

    Pawit is originally from Thailand and holds a Bachelor degree in Business and Administration from Thailand and an Associate degree in Computer Science from Japan. He is an IT professional with over seven years of experience in account management and renewals across the Asia-Pacific region, including Japan, Thailand, Taiwan, and Hong Kong, combining technical expertise with a strong cross-cultural perspective.


    Trilingual in Thai, English, and Japanese and specializing in building strong client relationships and driving successful renewal strategies across diverse markets with proven track record of managing accounts, supporting business growth, and delivering consistent value to customers.


    In his free time, Pawit enjoys exploring emerging technologies such as AI models and AI agents, as well as developing creative skills like video editing. 

  • Image

    Mathematical Optimization QA Engineer

    David Torres Sanchez

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

  • Image

    Mathematical Optimization QA Engineer

    David Torres Sanchez

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

  • Image

    Mathematical Optimization QA Engineer

    David Torres Sanchez

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

  • Image

    Mathematical Optimization QA Engineer

    David Torres Sanchez

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

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.

  • Pawit Singcornrum

    Account Executive, Renewals-Japan

    Image

    Pawit is originally from Thailand and holds a Bachelor degree in Business and Administration from Thailand and an Associate degree in Computer Science from Japan. He is an IT professional with over seven years of experience in account management and renewals across the Asia-Pacific region, including Japan, Thailand, Taiwan, and Hong Kong, combining technical expertise with a strong cross-cultural perspective.


    Trilingual in Thai, English, and Japanese and specializing in building strong client relationships and driving successful renewal strategies across diverse markets with proven track record of managing accounts, supporting business growth, and delivering consistent value to customers.


    In his free time, Pawit enjoys exploring emerging technologies such as AI models and AI agents, as well as developing creative skills like video editing. 

  • David Torres Sanchez

    Mathematical Optimization QA Engineer

    Image

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

  • David Torres Sanchez

    Mathematical Optimization QA Engineer

    Image

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

  • David Torres Sanchez

    Mathematical Optimization QA Engineer

    Image

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.

  • David Torres Sanchez

    Mathematical Optimization QA Engineer

    Image

    David received his PhD in Operations Research from Lancaster University (UK) in 2019. The topic was aircraft maintenance scheduling and recovery. Since then, David has held research positions at SINTEF Digital (Norway) and Lancaster University, where he has worked on a varied range of combinatorial optimization problems from vehicle routing to multicommodity flow problems.

    In his spare time he enjoys bouldering, riding his mountain bike, and maintaining and contributing to several open-source projects.