In-Person event

Optimization 360

November 5-6, 2024

In-Person event

Optimization 360

November 5-6, 2024

In-Person event

Optimization 360

November 5-6, 2024

At the 2024 Gurobi Summit in Amsterdam, the “Optimization 360” keynote brought a fresh perspective to how optimization weaves into our everyday lives and powers business efficiency.

Gurobi's Ronald van der Velden, Technical Account Manager, and Dr. Kostja Siefen, Director of Technical Account Management, guided the audience on an engaging journey to uncover the multiple layers of value optimization brings to industries like energy, logistics, and manufacturing.

Optimization: A Framework for Everyday Value

Optimization isn’t just about doing things faster—it’s about creating value across multiple dimensions. The speakers defined five key values of optimization: time, quality, throughput, explainability, and complexity management. Each plays a critical role in decision-making and process improvement, whether it’s ensuring fresh milk in your fridge, optimizing the energy grid, or enabling dynamic food delivery logistics.

By highlighting examples like automotive production and airport traffic management, the keynote illustrated how optimization turns overwhelming complexity into actionable, efficient processes. The takeaway? Optimization isn’t a tool—it’s a mindset for unlocking potential.

Why Complexity is No Match for Optimization

A standout theme was the ability of optimization to tame complexity without compromising quality or goals. From balancing renewable energy supply to planning hospital staffing schedules, optimization helps navigate multifaceted challenges with precision. The speakers emphasized that handling complexity isn’t about making things complicated—it’s about breaking them down into solvable pieces using mathematical models.

For example, optimization allows automakers to streamline car assembly, achieving greater throughput in less time. Similarly, it enables energy companies to plan decades into the future, simulating operations day by day to assess long-term feasibility. This is where Gurobi’s power shines brightest: transforming chaotic systems into smooth operations.

Challenges in Scaling Optimization Solutions

While the benefits are clear, implementing optimization isn’t without its hurdles. One challenge is scaling deployment for real-world use. It’s one thing to develop a model; it’s another to deploy it in environments like logistics hubs or global energy grids. Another is ensuring explainability, especially in industries where decision transparency is critical for trust or regulatory compliance.

Solutions that Deliver Real Impact

The speakers offered clear solutions to these challenges. First, a structured workflow—problem definition, modeling, deployment, and refinement—ensures optimization solutions remain practical and scalable. Second, integrating explainability into the process not only builds trust but also makes solutions actionable for non-technical users. This is particularly important in industries like healthcare or finance, where decisions must align with human expectations and rules.

The Bigger Picture: Optimization for Everyone

One of the most exciting takeaways from the keynote is how accessible optimization can be. Ronald and Kostja demonstrated that optimization is no longer reserved for the tech elite. With the right frameworks and tools, businesses of all sizes can leverage optimization to reduce waste, improve outcomes, and seize untapped opportunities.

From streaming personalized playlists to scheduling sports tournaments, optimization is shaping the future of decision-making—both in the boardroom and at home. It’s about empowering people and businesses to solve problems faster and smarter while staying agile in an ever-changing world.

At the 2024 Gurobi Summit in Amsterdam, the “Optimization 360” keynote brought a fresh perspective to how optimization weaves into our everyday lives and powers business efficiency.

Gurobi's Ronald van der Velden, Technical Account Manager, and Dr. Kostja Siefen, Director of Technical Account Management, guided the audience on an engaging journey to uncover the multiple layers of value optimization brings to industries like energy, logistics, and manufacturing.

Optimization: A Framework for Everyday Value

Optimization isn’t just about doing things faster—it’s about creating value across multiple dimensions. The speakers defined five key values of optimization: time, quality, throughput, explainability, and complexity management. Each plays a critical role in decision-making and process improvement, whether it’s ensuring fresh milk in your fridge, optimizing the energy grid, or enabling dynamic food delivery logistics.

By highlighting examples like automotive production and airport traffic management, the keynote illustrated how optimization turns overwhelming complexity into actionable, efficient processes. The takeaway? Optimization isn’t a tool—it’s a mindset for unlocking potential.

Why Complexity is No Match for Optimization

A standout theme was the ability of optimization to tame complexity without compromising quality or goals. From balancing renewable energy supply to planning hospital staffing schedules, optimization helps navigate multifaceted challenges with precision. The speakers emphasized that handling complexity isn’t about making things complicated—it’s about breaking them down into solvable pieces using mathematical models.

For example, optimization allows automakers to streamline car assembly, achieving greater throughput in less time. Similarly, it enables energy companies to plan decades into the future, simulating operations day by day to assess long-term feasibility. This is where Gurobi’s power shines brightest: transforming chaotic systems into smooth operations.

Challenges in Scaling Optimization Solutions

While the benefits are clear, implementing optimization isn’t without its hurdles. One challenge is scaling deployment for real-world use. It’s one thing to develop a model; it’s another to deploy it in environments like logistics hubs or global energy grids. Another is ensuring explainability, especially in industries where decision transparency is critical for trust or regulatory compliance.

Solutions that Deliver Real Impact

The speakers offered clear solutions to these challenges. First, a structured workflow—problem definition, modeling, deployment, and refinement—ensures optimization solutions remain practical and scalable. Second, integrating explainability into the process not only builds trust but also makes solutions actionable for non-technical users. This is particularly important in industries like healthcare or finance, where decisions must align with human expectations and rules.

The Bigger Picture: Optimization for Everyone

One of the most exciting takeaways from the keynote is how accessible optimization can be. Ronald and Kostja demonstrated that optimization is no longer reserved for the tech elite. With the right frameworks and tools, businesses of all sizes can leverage optimization to reduce waste, improve outcomes, and seize untapped opportunities.

From streaming personalized playlists to scheduling sports tournaments, optimization is shaping the future of decision-making—both in the boardroom and at home. It’s about empowering people and businesses to solve problems faster and smarter while staying agile in an ever-changing world.

At the 2024 Gurobi Summit in Amsterdam, the “Optimization 360” keynote brought a fresh perspective to how optimization weaves into our everyday lives and powers business efficiency.

Gurobi's Ronald van der Velden, Technical Account Manager, and Dr. Kostja Siefen, Director of Technical Account Management, guided the audience on an engaging journey to uncover the multiple layers of value optimization brings to industries like energy, logistics, and manufacturing.

Optimization: A Framework for Everyday Value

Optimization isn’t just about doing things faster—it’s about creating value across multiple dimensions. The speakers defined five key values of optimization: time, quality, throughput, explainability, and complexity management. Each plays a critical role in decision-making and process improvement, whether it’s ensuring fresh milk in your fridge, optimizing the energy grid, or enabling dynamic food delivery logistics.

By highlighting examples like automotive production and airport traffic management, the keynote illustrated how optimization turns overwhelming complexity into actionable, efficient processes. The takeaway? Optimization isn’t a tool—it’s a mindset for unlocking potential.

Why Complexity is No Match for Optimization

A standout theme was the ability of optimization to tame complexity without compromising quality or goals. From balancing renewable energy supply to planning hospital staffing schedules, optimization helps navigate multifaceted challenges with precision. The speakers emphasized that handling complexity isn’t about making things complicated—it’s about breaking them down into solvable pieces using mathematical models.

For example, optimization allows automakers to streamline car assembly, achieving greater throughput in less time. Similarly, it enables energy companies to plan decades into the future, simulating operations day by day to assess long-term feasibility. This is where Gurobi’s power shines brightest: transforming chaotic systems into smooth operations.

Challenges in Scaling Optimization Solutions

While the benefits are clear, implementing optimization isn’t without its hurdles. One challenge is scaling deployment for real-world use. It’s one thing to develop a model; it’s another to deploy it in environments like logistics hubs or global energy grids. Another is ensuring explainability, especially in industries where decision transparency is critical for trust or regulatory compliance.

Solutions that Deliver Real Impact

The speakers offered clear solutions to these challenges. First, a structured workflow—problem definition, modeling, deployment, and refinement—ensures optimization solutions remain practical and scalable. Second, integrating explainability into the process not only builds trust but also makes solutions actionable for non-technical users. This is particularly important in industries like healthcare or finance, where decisions must align with human expectations and rules.

The Bigger Picture: Optimization for Everyone

One of the most exciting takeaways from the keynote is how accessible optimization can be. Ronald and Kostja demonstrated that optimization is no longer reserved for the tech elite. With the right frameworks and tools, businesses of all sizes can leverage optimization to reduce waste, improve outcomes, and seize untapped opportunities.

From streaming personalized playlists to scheduling sports tournaments, optimization is shaping the future of decision-making—both in the boardroom and at home. It’s about empowering people and businesses to solve problems faster and smarter while staying agile in an ever-changing world.

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.