Are you passionate about operational efficiency, doing more with your limited resources, and solving complex business problems? So are we! And we’re growing a community of like-minded individuals who want to network and share their knowledge and resources.
Join us at our upcoming event to learn more!
Thursday, 23 November 2023
3:00 pm to 6:00 pm
Sofitel Auckland Viaduct Harbour, New Zealand
*Seats are limited, please register soonest. We hope to see you there!
Agenda:
| 2:30pm | Arrival & Registration |
| 3:00pm | Welcome Remarks
Iain Jardin |
| 3:10pm | Latest Enhancements in Gurobi 11.0 This talk will give an overview of what’s new in our latest Gurobi 11.0 release. We’ll talk about performance improvements to Gurobi’s core algorithms, as well as new features for supporting non-linear functions (polynomials, power functions, logs and exponentials, and trigonometric functions). These new non-linear features enhance our existing piecewise-linear approximation support from version 10.0; the new features perform dynamic approximations to non-linear functions, providing more accurate results than a static approximation in less time.Steven Edwards Technical Account Manager, APAC, Gurobi Optimization Riley Clement Optimization Engineer, Gurobi Optimization Simranjit Kaur Optimization Engineer, Gurobi Optimization Simon Bowly Software Developer, Gurobi Optimization |
| 3:30pm | Optimisation at Fonterra Optimisation is central to Fonterra’s operations – the business leverages numerous tools to help manage its large supply chain and manufacturing landscape. Some of these tools include applications developed in-house by the data science team. This talk will cover our approach to developing an optimisation application in a corporate environment and how an iterative process can be leveraged to effectively build solutions that solve the business issues at the heart of many optimisation problems.Oleg Barbin Principal Data Scientist, Fonterra |
| 3:55pm | Building Fast and Flexible Electricity Market Models in Python with gurobipy-pandas Electricity market modelling is simultaneously an optimization problem, and a huge data wrangling exercise. The gurobipy-pandas library allows us to embed Gurobi variables and constraints directly in pandas dataframes which makes the code and data far more compact, efficient, and intuitive to work with. Developing our market modelling software with Gurobi’s Python libraries has given us enormous control over our modelling pipeline. When prototyping new constraints and inputs for the model, we can tell the program to run at a lower resolution with linear relaxations so we can do capacity expansion modelling in just a few minutes. This allows us to troubleshoot new inputs and interrogate the outputs of the model in less than a day compared to weeks.Oliver Nunn Director, Endgame Economics Jackson Simpson Director, Endgame Economics |
| 4:20pm | Networking Reception |
| 6:00pm | End of Event |
Guest Speakers:
Oleg Barbin
Principal Data Scientist, Fonterra
Oleg is a seasoned data science professional with an extensive background in solving diverse business challenges through the application of machine learning, statistics, and optimisation techniques.
In his current capacity with Fonterra, Oleg leads a team of data scientists responsible for the creation and implementation of innovative solutions across Fonterra’s manufacturing and supply chain operations.
Other city and date:
If you have questions, please contact Xuefen at xuefen.tiow@gurobi.com.
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Regional Sales Director - APAC
Regional Sales Director - APAC
Iain Jardin has been working with customers and partners in APAC, EMEA and North America for the last 30 years. Prior to joining Gurobi Iain worked at Oracle, Sun Microsystems and Amdahl where he ran numerous business development, product management, sales and technical-sales organisations.
Team Lead Technical Account Management - APAC
Team Lead Technical Account Management - APAC
Dr. Steven Edwards completed his PhD at Monash University in the field of discrete optimization. His thesis was motivated by the scheduling of automated pathology testing systems used for the diagnosis of cancers and infectious diseases.
Optimization Engineer
Optimization Engineer
Simranjit received her Ph.D. in Operations Research from the University of Newcastle, Australia in 2015. In her Ph.D. she worked on the topic of scheduling shutdown activities on acrs of capacitated network to maximize total throughput from the network over time.
Software Developer
Software Developer
Dr. Simon Bowly completed his PhD in 2019 at the University of Melbourne, focusing on generating difficult test cases for optimization algorithms. Simon has previously lectured in applied data science and discrete optimization at Monash University, worked in optimization consulting for transport and logistics projects and developed software for real time analytics in power generation applications.
Optimization Engineer
Optimization Engineer
Riley completed his PhD in Mathematics at the University of Newcastle (Australia) in 2015, where he developed a family of optimization models which generalize the well-known time-indexed formulation for single machine scheduling.
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