Gurobi Summit EMEAI 2024
On November 5-6, 2024, we gathered in Amsterdam at the stunning Capital C for an exclusive event filled with informative presentations, inspiring use cases, hands-on training, and one-on-one consultations with Gurobi experts. It was a unique opportunity to connect with like-minded professionals, discover how decision intelligence technology is transforming industries, and share success stories.
You can now access recordings, presentations, and more from the event on demand through the Agenda tab. Whether you missed the event or simply want to revisit a stand-out session, you can find all the highlights from the 2024 Gurobi Summit in Amsterdam here!
We decided to rename Gurobi Live to Gurobi Summit to better reflect the breadth and depth of the event. Join us for this premier gathering of industry leaders, experts, and innovators.
Who should attend?
Operations Researchers
Sharpen your mathematical modeling and optimization skills, with guidance from our experts.
Data Scientists
Learn how to turn your predictions into optimized business decisions.
Business Leaders
Discover how decision intelligence can help you achieve your business objectives.
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Christian Álvarez PeláezResearcher Reganosa |
Christian studied Physics at the University of Oviedo and completed a Master's in Statistics at the University of Santiago de Compostela. He is an expert in data science, optimization, and applied mathematics, particularly in the energy sector. His responsibilities include data processing and analysis, building neural networks and clustering algorithms, as well as developing and researching ML models and optimization techniques. Currently, he is creating new features with strong mathematical foundations for Reganosa's digital solutions through data analysis, ML, AI, and mathematical optimization.
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Dr. Andrea BaggioHead of Optimization Services swissQuant |
Andrea Baggio leads the Optimization Services team within the Wealth Management Technologies division of swissQuant, where he is responsible for developing and implementing advanced optimization solutions. He holds a Ph.D. in mathematics from the Operations Research group at ETH Zurich, with expertise in optimization, modeling, and algorithms gained through his doctoral and postdoctoral work. Andrea consults with banks and asset managers on complex optimization challenges and conducts research on cutting-edge models and algorithms for portfolio optimization. He also serves as a member of the swissQuant Methodology Board.
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Dr. Pierre BonamiPrincipal Developer Gurobi Optimization |
Pierre Bonami holds a Ph.D. in Operations Research and Computer Science from University Paris 6. Prior to joining Gurobi he was one of the lead developers for CPLEX (2013-2020). Prior to that, he was a researcher for CNRS in Marseille University. He was also a postdoctoral fellow at Carnegie Mellon University and at IBM Research where he developed the open-source solver Bonmin. Pierre Bonami authored or co-authored more than 20 publications in top journals and conferences in the field of Mathematical Optimization. He is particularly well known for his work on Mixed-Integer Nonlinear Optimization and cutting planes for Mixed Integer Optimization.
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David BuxtonFounder & CEO Decision Lab |
David Buxton is Decision Lab’s founder and CEO. Driven by a passion for using data and tech to help businesses make better decisions, he has acquired a wealth of experience delivering industry leading solutions for some of the worlds’s largest and most respected companies. He is an early adopter of digital twin technologies and a pioneer of decision intelligence platforms.
Decision Lab was formed in 2011 with a focus on delivering business modelling, simulation, and optimisation across industry verticals. Since then, Decision Lab has mastered and employed a range of modelling and data science techniques, including statistical and machine learning methods, data engineering, and software development and visualisation.
Led by David, Decision Lab is expanding the field of decision intelligence through industrial application and the development of human-AI teaming and AI-led decision arbitration.
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Ana CoelhoSenior Consultant LTPLabs |
With background in industrial and management engineering, Ana Coelho has worked in projects related to market modelling and stock management. Her passion for analytics and programming motivates her every day to learn more and apply her knowledge on the field.
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Hans Martin EspegrenML/Data Science Team Lead BAMA |
Hans Martin Espegren is the Head of Data Science at BAMA, the largest distributor of fruit and vegetables in the Nordics. With extensive experience in machine learning and optimization within mobility and logistics, Hans Martin has been instrumental in advancing BAMA's digital transformation over the past four years. Under his leadership, BAMA has developed a modern data platform and successfully implemented multiple machine learning models and optimization algorithms, generating significant business value.
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Wouter de KoningBusiness Intelligence Consultant Royal Lemkes |
Wouter de Koning holds a MSc degree in Applied Mathematics, with a specialization in optimization, at the Delft University of Technology. He has been working for five years at Royal Lemkes, one of the leading plant service partners for large retailers across 34 countries in Europe. At Royal Lemkes, Wouter introduced the use of mathematical optimization and successfully implemented several projects. He is passionate about translating complex mathematical concepts into practice, so that everyone can understand the beauty that mathematics has to offer.
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Joaquim GromichoOptimization Architect Analytics for a Better World Institute |
Joaquim Gromicho is Science and Education Officer at ORTEC, Professor of Business Analytics at the University of Amsterdam, and Optimization Architect at the Analytics for a Better World Institute. His forthcoming book, Hands-on Mathematical Optimization with Python, published by Cambridge University Press, aims to make mathematical optimization accessible to data science professionals. As part of the EURO Practitioners' Forum, he actively bridges the gap between theory and practice in operational research.
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Frank HägerSenior Account Director Gurobi Optimization |
Frank Häger is the Sales Director for the DACH region at Gurobi Optimization. Prior to working at Gurobi, Frank was responsible for Optimization Solutions Sales at FICO in EMEA from 2010 to 2016. He started his career in optimization sales in 1998 at ILOG Germany where he eventually led the German operations as Managing Director until 2008. Frank is a seasoned Sales Professional in the Software Industry for Enterprise Decision Management, focusing on Optimization and Prescriptive Analytics. Frank currently resides in the Hamburg area in Germany.
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Arjen HeeresCEO Decide4AI |
Since 2019 Arjen is the CEO of Decide4AI, a consulting company with about 150 consultants fully focused on AI, Mathematical Optimization and Data Science. Other current roles of Arjen are President of the Supervisory board of Planon, a global facility management and real estate software provider and he is active as an Investor in Tech start-ups in Spain and the Netherlands. Prior to these roles Arjen was from 2000-2016 COO / Co-owner and co-founder of Quintiq Software. Quintiq is a software company dual headquartered in the Netherlands and the USA that provides advanced supply chain planning and optimization solutions. In 2014 Quintiq was acquired by Dassault Systemes, the second largest software company in Europe.
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Matthijs KieskampData Science Leader KLM Royal Dutch Airlines |
Matthijs holds a master’s in industrial engineering with a strong focus on Operations Research. For 9 years working at KLM Royal Dutch Airlines, he has built a thorough understanding of the airline industry. Always focused on data science topics, some of his past highlights include:
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Wendell KulingManager Data Science & Analytics Jumbo Supermarkten |
Wendell Kuling is a senior Data and Analytics executive with over 25 years of experience. He has successfully led high-performing teams in data science, analytics and operational excellence. Currently serving as the Manager of Data Science and Analytics at Jumbo Supermarkten, Wendell focuses on accelerating data transformation through concrete use cases and modern technology. Jumbo, a leading supermarket chain in the Netherlands and Belgium, prioritizes a “customers first, data second” approach to data and analytics.
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Dr. Kunal KumarPrincipal Data Scientist KLM Royal Dutch Airlines |
Kunal Kumar is a data science leader with over 9 years of experience applying advanced analytics to solve complex problems across aviation, manufacturing, supply chain, and humanitarian logistics. At KLM Royal Dutch Airlines, he leverages his expertise to accelerate digital transformation and has played a key role in developing over 10 decision-support tools that significantly impact various operational domains. His influence extends beyond KLM. Through their partnership with Boston Consulting Group, Kunal shares his expertise, helping global airlines harness the power of optimization. He is also passionate about advancing the field and actively contributes to AI research at Utrecht University, where he co-leads a project focused on building robust airline operations.
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Lennart LahrsTechnical Account Manager Gurobi Optimization |
Lennart Lahrs holds MSc degrees from RWTH Aachen University and KTH Royal Institute of Technology, with a focus on electrical engineering and operations research. Previously, he worked in software development and energy system research as part of agile teams. Within research contexts, Lennart applied discrete optimization to machine operations, fleet management and energy system design. Outside of work, Lennart enjoys sailing, cycling, and cooking.
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Ana Patrícia Lopes AndradeProduction Planning Manager Amorim Group |
Ana Andrade has six years of planning, has experience in industrial management. Amorim is developing a platform with LTP and implementing optimization models and algorithms for production planning, generating significant value to the company and better the experience of the customer. Ana is focusing on the digital transformation business to get the delivery date of orders in a day, in an industry with different applications, from the sealing to the flooring.
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Dr. Robert LucePrincipal Developer Gurobi Optimization |
Dr. Luce is an experienced researcher in applied mathematics, and author of numerous publications in the fields of numerical linear algebra and optimization. He holds a Ph.D. from Technical University of Berlin.
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Dr. Matthias MiltenbergerManager of Optimization Support Gurobi Optimization |
Dr. Matthias Miltenberger is a mathematician living in Berlin. He completed his PhD at the Technical University of Berlin and worked for several years developing, maintaining and supporting the SCIP Optimization Suite at the Zuse Institute Berlin with a focus on linear programming in the context of mixed-integer optimization. Dr. Miltenberger joined Gurobi in October 2019. He enjoys traveling and spending time with his wife and daughter.
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Dr. Sara Neira CastroResearcher Reganosa |
Sara holds a PhD in Nuclear Physics. After graduating in Physics from the University of Santiago de Compostela, she further specialized in numerical simulation with a master's in Industrial Mathematics.
With four years of research experience, Sara completed her thesis in Medical Physics and Biomathematics, working on the development of mathematical models and Monte Carlo simulations for molecular radiotherapy,
which led to several publications. Since 2022, she has been a researcher at Reganosa, focusing on the development of digital mathematical tools to improve energy efficiency, particularly through the definition and implementation of optimization algorithms.
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Maarten OostenSenior Data Scientist KLM Royal Dutch Airlines |
Maarten Oosten is senior data scientist at KLM Royal Dutch Airlines. With 16 years of aviation industry experience, he has been responsible for the technical development and business implementation of multiple innovations in the planning and decision landscape. He has stood at the cradle of a new generation of optimizers supporting operational decision making and disruption management while working closely with the Boston Consulting Group. Maarten has organized KLM collaboration with the universities of Utrecht and Twente in the context of Kickstart AI. Currently Maarten is working on strategic decision making by modeling operational processes of the integral airline as a Digital Twin.
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Martine RønnebergData Scientist BAMA |
Martine Rønneberg is a Data Scientist at BAMA, the largest distributor of fruit and vegetables in the Nordics. She had the main responsibility for developing our MILP optimization model. With two years at BAMA and several years of experience as a data science consultant, Martine brings strong expertise in mathematical optimization. She holds a master’s degree from NTNU, where she specialized in optimization. Martine has been essential in enhancing BAMA's logistics and transport efficiency through advanced data science techniques.
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Dr. Edward RothbergChairman of the Board and Co-Founder Gurobi Optimization |
Dr. Rothberg has served in senior leadership positions in optimization software companies for more than twenty years. Prior to his role as Gurobi Chief Scientist and Chairman of the Board, Dr. Rothberg held the Gurobi CEO position from 2015 - 2022 and the COO position from the co-founding of Gurobi in 2008 to 2015. Prior to co-founding Gurobi, he led the ILOG CPLEX team. Dr. Edward Rothberg has a BS in Mathematical and Computational Science from Stanford University, and an MS and PhD in Computer Science, also from Stanford University. Dr. Rothberg has published numerous papers in the fields of linear algebra, parallel computing, and mathematical programming. He is one of the world's leading experts in sparse Cholesky factorization and computational linear, integer, and quadratic programming. He is particularly well known for his work in parallel sparse matrix factorization, and in heuristics for mixed integer programming.
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Dr. Mario RuthmairSenior Optimization Engineer Gurobi Optimization |
Dr. Mario Ruthmair joined Gurobi in 2021 as an Optimization Support Engineer. He studied computer science at the Vienna University of Technology (Austria) and finished his PhD in 2012, with focus on exact and heuristic solution methods for discrete optimization problems. From 2008 to 2014, he ran a one-man consulting company offering IT services for business customers. Since 2008, Mario regularly taught courses in algorithms and mathematical optimization at two Austrian universities. For many years, he conducted research projects related to optimization in transportation, logistics, and network design, at several academic and near-industry research institutions. In his free time, Mario frequently goes for a hike (with neighbor's dog), enjoys nature with and without camera, strives to produce an optimal espresso, and reads Sci-Fi books.
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Dr. Kostja SiefenSenior Director of Technical Account Management Gurobi Optimization |
Dr. Kostja Siefen leads the global Technical Account Management team at Gurobi Optimization. Kostja holds a Ph.D. in Operations Research from the University of Paderborn (Germany). He joined Gurobi in 2015 after many years of experience in the development and design of decision support systems using mathematical optimization. Before joining Gurobi he worked at Daimler Research & Development and as a lecturer at the University of Paderborn. Since 1998, before focusing on optimization and during his studies he continuously worked as system administrator, software developer and support engineer for an IT service company. Kostja has been active in academic teaching and customer training since 2009. Beyond Gurobi, Kostja enjoys spending time with his family, working as a Les Mills group fitness instructor, traveling and good food.
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Dr. Z. Caner TaşkınICRON’s Chief Technology Officer ICRON |
This topic is presented by Dr. Z. Caner Taşkın – ICRON’s Chief Technology Officer and a Professor in the Department of Industrial Engineering at Boğaziçi University – who specializes in large-scale mixed-integer programming and supply chain optimization software solutions. Caner received his Ph.D. from the University of Florida. He was named the recipient of the 2010 Pritsker Doctoral Dissertation Award given by the Institute of Industrial Engineers (IIE) and his research has been published in many leading Operations Research journals.
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Dr. David Torres SanchezSenior Optimization Engineer Gurobi Optimization |
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.
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Ronald van der VeldenManager of Technical Account Management - EMEA Gurobi Optimization |
Ronald van der Velden holds a MSc degree in Econometrics and Operations Research at the Erasmus University in Rotterdam. He started his career at Quintiq where he fulfilled various roles ranging from creating planning and scheduling models as a software developer, to business analysis and solution design at customers worldwide, as well as executing technical sales activities like value scans and "one week demo challenges". He also spent two years as a lead developer at a niche company focused on 3D graphics in the entertainment industry before going back to his mathematical roots at Gurobi. In his spare time he loves spending time with his wife and two sons, going for a run on the Veluwe and working on hobby software projects.
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Iris van HeckData Scientist Jumbo Supermarkten |
Iris van Heck is a Data Scientist at Jumbo Supermarkten. With a strong academic background in Industrial and Applied Mathematics, Iris has a deep understanding of mathematical optimization and its practical applications. Currently, Iris is focusing on empowering business decision-making through mathematical optimization in various business domains.
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Leon VerschoorDirector Operations and Digital Royal Lemkes |
Leon Verschoor is Directeur Operations and Digital at Royal Lemkes. Educated in business administration and public administration, he has spent over 20 years improving organizational performance. Mathematical optimization offers unprecedented opportunities to enhance the supply chain. And once again, the right people make the difference. To improve performance and use available resources sustainably, the key lies in leadership, digitalization, and mathematical optimization.
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Michael WoohChief Marketing Officer Gurobi Optimization |
Mr. Wooh brings more than 25 years of leadership experience and a proven track record with early-stage, mid-cap and Fortune 500 organizations. Before joining Gurobi, he served as CMO at Confirmit for 9.5 years, where he was responsible for global marketing and sales development. His executive leadership resulted in the company being positioned as an industry leader across all of its key markets. Prior to Confirmit, Michael served as VP, Marketing at Computer Associates, where he was responsible for redefining Enterprise-Wide Workload Automation. At Platinum Technology, he led Global Automated Operations, where he was responsible for the company’s top product division which contributed to the acquisition of Platinum for $3.5B. Michael has also held executive level marketing positions at Passlogix, AutoSystems, and OpTier where he was pivotal in creating the business transaction management market. Michael's early career was grounded in Wall Street firms such as Goldman Sachs, Citibank, and National Westminster Bank. Michael is a graduate of Cornell University and has completed coursework in Strategic Marketing at Harvard Business School Executive Education. As a Cornell alumnus he served on multiple boards including President of its Alumni Board of Directors. As Board President, Michael founded the Cornell Cyber-Mentor program, the most successful, longest running, e-alumni program to date.
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Dr. Vassilios YfantisTechnical Account Manager – EMEAI Gurobi Optimization |
Vassilios Yfantis obtained a BSc (2012-2015) and an MSc (2016-2018) in chemical engineering from the Technical Universities of Berlin and Dortmund respectively before pursuing a PhD at the Technical University of Kaiserslautern. His work focused on mixed-integer programming-based production scheduling and on distributed optimization. Additionally, he has experience in academic teaching of various disciplines, e.g., mathematics, optimization, process control and logistics. In his free time, he enjoys playing basketball going for walks with his dog and travelling to Greece with his wife.
Welcome to The Gurobi Decision Intelligence Summit! Hear the latest Gurobi Optimization news and updates.
22008Optimization is all around us—calculating the quickest route on your mobile phone, ensuring timely package deliveries, and streamlining your airline and hotel bookings. Optimization technology is being used in all those situations because it “creates value” – but what exactly does that mean? What’s the hidden connection between a deeply mathematical puzzle-solving tool, and your bottom-line results? What is the interplay between complexity and value?
22009You have probably been there: booking that dream vacation or registering for a conference abroad. You mindlessly add a flight, a small hurdle before reaching your destination. As you get comfortable in your seat among hundreds of fellow passengers, you glance out the window and see dozens of planes gliding around the airport. Have you ever stopped to wonder what it takes to make this happen? Behind the scenes, airlines face a logistical puzzle unlike any other. How do they get you and thousands of others to the right place at the right time with the right resources at an acceptable cost? From developing flight schedules years in advance to real-time execution on the day of travel, optimization is key.
Join us to explore how KLM Royal Dutch Airlines, one of Europe’s leading carriers, uses advanced optimization techniques to prepare and adjust flight schedules. Discover how we optimize the deeply interconnected planning and allocation of resources like aircraft, crew, technicians, and ground handlers, ensuring everything works in harmony.
But the planning is just the start. When faced with disruptions such as bad weather or aircraft breakdowns, you will learn how airlines use real-time optimization to bring order to chaos. Be prepared to be surprised by the hidden world of mathematics that keeps you flying smoothly. You might even leave with a newfound appreciation for that occasional (and sometimes mysterious) schedule change!
This session is perfect for anyone who has ever stepped on a plane and for those curious about the fascinating intersection of business, technology, and that incredible feeling of soaring through the sky.
22010(Quantum, GenAI, GPUs) and Optimization. The jungle of tech buzzwords can be overwhelming; in particular, technologies like GPU computing, generative AI, and quantum computing are getting attention from experts and even the general public. This talk discusses these technologies and their relevance to optimization and related real-world applications. Attendees will leave with a better understanding of these technologies’ roles in optimization, helping them make informed decisions about their relevance to the attendees’ ongoing and future projects. Join us to cut through the hype and find the true value in these innovations.
22011Moderated by Kostja Siefen, Director of Technical Account Management at Gurobi, this session builds on the foundational concepts discussed in the previous talks, shifting focus to the practical implementation of mathematical optimization across key business areas to ensure transformation and resilience.
We will explore real-world applications and strategies that have proven effective in addressing the challenges associated with major global trends such as Environmental Sustainability, Digital Business Transformations and Global Supply Chain Resilience.
Providing reliable delivery dates for customer orders efficiently is vital for maintaining healthy customer relationships and upholding the company’s value proposition. The cork composites manufacturer in this study faced challenges in analyzing customer orders due to the difficulty of accurately and efficiently simulating existing production orders within their multi-unit production environment. To address this issue, an optimization model was developed that enables the Production Planning department to provide accurate delivery dates for each customer order. It also allows for what-if analyses regarding changes to the existing production based on the commercial priority of each order and offers an overview of potential bottlenecks in the industrial areas for the coming months.
In this talk, we will present the process of building this model, the results obtained, and the challenges encountered in modeling a multi-stage production process within a multi-unit industrial environment, as well as the process designed to facilitate its adoption.
In today’s data-driven retail landscape, Jumbo Supermarkten is at the forefront of innovation by seamlessly integrating mathematical optimization models across critical business functions. This presentation explores how Jumbo has enhanced floor space management, optimized product assortment, fine-tuned pricing strategies, and streamlined logistics operations through sophisticated optimization techniques. Building on the foundation of successful machine learning projects, these optimization models allow Jumbo to become even more relevant for customers and improve the operational efficiency at the same time.
Join us to discover how machine learning and mathematical optimization have become an integral part of Jumbo’s business decisions. With this combination, we transform data into actionable recommendations and empower data-informed decision-making.
Arjen Heeres, CEO of Decide Soluciones, will cover five key topics, offering practical tips, recommendations, and insightful anecdotes on how to successfully implement an optimization solution.
In today’s dynamic and highly competitive business environment, where uncertainty is greater than ever, making informed and optimized decisions is crucial for organizational success.
An increasing number of companies are investing in optimization-based software solutions to enhance efficiency, increase customer satisfaction, and achieve sustainability. Many companies realize that shifting the focus from planning to optimized decision-making unlocks maximum business benefits. In this talk, we will discuss our decision-centric optimization experience in various industries and the complementary power of the cutting-edge decision intelligence technologies of ICRON and Gurobi. In particular, we will explore how ICRON addresses common business requirements, such as balancing multiple competing objectives and conducting rapid scenario analysis by leveraging Gurobi features like lexicographic optimization and warm start. We will also discuss how ICRON integrates with Gurobi in various deployment scenarios, including on-premises and public cloud environments.
Mathematical models are complex by nature. Practitioners often consider model development an art and very different from other software-related disciplines. In this session we discuss how best practices from other areas of software development can still be applied to the implementation of mathematical models. Learn how to add structure to your model development process, work more efficiently and produce results faster. This session will also be an interesting introduction to optimization in practice.
22014Discover how BAMA, Norway’s leading fruit and vegetable supplier, automized its transport planning with a cutting-edge and award-winning optimization model powered by Gurobi. Learn how we developed and implemented a custom Mixed Integer Linear Programming model to maximize transport efficiency, reduce costs and CO2 emissions, and ensure product freshness.
Our project leverages Azure services, including Storage containers, Batch, Functions, and Key Vault, seamlessly integrated with GitHub for version control and Azure Pipelines for CI/CD, all managed through Terraform.
Join us as we share our 360-degree view on the journey from manual processes to a sophisticated, data-driven approach: we will delve into the technical architecture, challenges, and achievements, providing valuable insights for organizations aiming to enhance their transport logistics with advanced technology.
22015Optimization is often seen as a black-box: once your model is handed over to Gurobi, you just trust it to come back with the optimal result.
Knowing what’s going on within that black box will help you understand how changes in your model formulation, input data or solver parameters may impact performance of Gurobi. In this session we have a look under the hood to see which algorithms are employed to solve your problems.
22013The Spanish electricity market offers various tariffs to the users. The configuration of the best supply option often involves a complicated set of decisions, since the final price is highly conditioned by the market price volatility and consumption stochasticity. In this talk, we will present OIIO, an innovative mobile application that determines the optimal tariff for SMEs consumers. Using algorithms that combine machine learning and optimization, OIIO makes decisions under uncertainty to minimize the cost of the electric bill, putting this power in the hands of everyone through a simple app. We will focus on the problem of deciding the power to contract according to the billing precepts of the power term and the restrictions of the electricity marketers.
22016In this session we will guide you through the integration of Gurobi with the greater Python ecosystem. We will demonstrate model building patterns based on NumPy and SciPy.sparse data structures and how to take advantage of indexed DataFrames and Series in pandas. Further we will show how to use trained regressors from scikit-learn as constraints in optimization models. Join us as we delve into the world of optimization with Gurobi and elevate your Python-based workflows.
Finding an optimal solution can be quite challenging for some models. In this session, we discuss potential reasons for this and how to deal with it.
We also show a few techniques that help determine why some model is infeasible. Additionally, we give insights into the geometry of MIP to better understand the difficulty of models. Heuristics are essential to finding reasonable solutions quickly. We discuss heuristics included in the solver and other general concepts.
In addition to solving LPs, MIPs and MIQCPs, Gurobi has many useful features that you may not be aware of. In this talk we review modeling features such as multiple objectives, multiple scenarios, solution pools and general constraints. We also present features to help analyzing infeasibility and tools designed to analyze and improve the performance of Gurobi on your models.
Models with numerical issues can lead to undesirable results: slow performance, wrong answers or inconsistent behavior.
When solving a model with numerical issues, tiny changes in the model or machine can make a big difference in the results. In this session, you will learn about Gurobi’s guidelines on numerical issues, how to identify them, how they impact your solutions and, most importantly, how to avoid them.
Gurobi can handle a number of non-linear functions in optimization models. Historically, Gurobi first supported convex quadratic function in the objective and constraints. With Gurobi 9.0, Gurobi introduced a global solver for non-convex quadratic models and automatic piecewise-linear approximations of common arithmetic functions. Gurobi 11.0 comes with support for global optimization of models containing univariate non-linear functions . In this talk, we will review those various features and present our current work for tackling non-linearities better, including an outlook to Gurobi 12.
Join us for an engaging and dynamic Q&A session to close out the event! Moderated by Sonja, our VP of Support, this session will feature a panel of experts ready to address your questions, offering an informal opportunity to explore event topics in more depth.
Closing Remarks
See the powerful potential and significant risks of using Generative AI for modeling. While Generative AI can help you get started modeling and coding quickly, it often requires careful oversight. We will walk you through a couple of examples of optimization modeling using Generative AI, highlighting key issues that can arise. The session will also touch on other application areas for AI in the context of Gurobi.
Welcome to the Gurobi Summit EMEAI! Arrive with plenty of time to register, settle and enjoy some local pastries.
Join us for an evening of professional connections and insightful exchanges. This session not only offers a chance to mingle over cocktails but also features a unique Speaker Hub. Here, guest speakers will gather in a designated corner, each with their own “stand” where they’ll be available to answer questions and engage in discussions about their presentations.
Royal Lemkes is a family-owned plant service provider for large retailers in Europe (IKEA; Kingfisher; OBI and others). This case describes how a mid-sized company innovates and what the challenges are in innovation projects. Mathematical optimization is an important development in Supply Chain which helps us to keep our profitability but more important it helps us to be more sustainable in our business. And in the end: Plants make the world more beautiful.
Welcome to the track “Embracing Business Complexity Through Optimization”. Frank Häger, will introduce you to the track objectives, the track framework and desired takes aways.
This track builds on the foundational concepts discussed in the previous talks, shifting focus to the practical implementation of mathematical optimization across key business areas to ensure transformation and resilience. We will explore real-world applications and strategies that have proven effective in addressing the challenges associated with major global trends such as energy transition, supply chain resilience, and digitalization.
The discussion will highlight:
Participants will leave with a clearer understanding of how to practically apply mathematical optimization techniques in their operations, equipped with actionable insights and guidelines to initiate or enhance their optimization projects.
This interactive Q&A session invites both speakers and attendees to engage in a dynamic exchange of questions related to the topics covered throughout the track. The goal is to end the day with a thought-provoking discussion, gaining valuable insights from the participants themselves. Kostja Siefen, Director of Technical Account Management at Gurobi, will moderate the session.
Welcome to the track, ‘From Optimization 101 to Implementing High-Performance Real-World Models.’ Ronald van der Velden will introduce the track’s objectives, framework, and key takeaways.
Once you understand the fundamentals of mathematical modeling, a world of possibilities opens up to you. But once you start tackling more complex business problems, you soon find out that building that giant mathematical model does not give you the results or performance you hoped for. What is the right approach to build real-world optimization solutions and what makes the difference between a fast and a slow model? In this track we mix training sessions by Gurobi experts with first-hand experience from our customers. Learn how to build powerful models in an efficient and enjoyable way.
At swissQuant, we empower private banks, wealth and asset managers, and family offices with sophisticated, modular solutions to manage risk and grow wealth. Central to our offerings is the Portfolio Optimizer, a flexible and powerful tool that integrates advanced financial modelling, real-time data, and Gurobi’s solver to deliver high-speed, scalable optimization. The optimizer is used across a range of products, including Discretionary Portfolio Management (DPM) and Robo-Advisory. For this presentation, we will focus on its application in our Retail Investing App, where the optimizer handles vast datasets and automates portfolio adjustments with speed and precision. By enabling real-time, autonomous rebalancing, it allows institutions to offer private banking-level service to retail investors, democratizing access to professional-grade wealth management. This showcases how swissQuant’s Portfolio Optimizer seamlessly adapts to the demands of the retail market, delivering performance, scalability, and tailored solutions at an unprecedented level.
22012This interactive Q&A session invites both speakers and attendees to engage in a dynamic exchange of questions related to the topics covered throughout the track. The goal is to end the day with a thought-provoking discussion, gaining valuable insights from the participants themselves. Ronald van der Velden, Technical Account Manager at Gurobi, will moderate the session.
You may know that the United Nations World Food Programme won the Nobel Peace Prize in 2020 for its efforts toward achieving zero hunger. You may also be aware that the Zero Hunger Lab, closely associated with the Analytics for a Better World Institute, won the Franz Edelman Award in 2021 for its remarkable optimization work with the World Food Programme, aligned with the United Nations’ Sustainable Development Goal number 2: Zero Hunger. Today, I will share equally impressive examples of how optimization is contributing to improved access to healthcare worldwide, supporting the United Nations’ Sustainable Development Goal number 3: Good Health and Well-being. I will present case studies from Timor-Leste, Vietnam, Nepal, and Kenya, highlighting projects carried out by the Analytics for a Better World Institute in collaboration with the World Bank, the World Health Organization, AMREF, and others.
This interactive Q&A session invites both speakers and attendees to engage in a dynamic exchange of questions related to the topics covered thus far in the track. Serving as an intermediary point, the goal is to foster a thought-provoking discussion and gain valuable insights from the participants.
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