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In this session, we will explore roster construction through mixed-integer optimization.
In this session, we will explore roster construction through mixed-integer optimization. Using individual NBA player characteristics, we will formulate an optimization problem that constructs the ideal national basketball team subject to various constraints on team composition. This example will introduce a general framework for how to formalize various strategic problems (e.g. scheduling, pricing, staffing) as optimization models. These models will be implemented using JuMP in the Julia programming language. No prior experience with Julia is necessary.
If you are interested in this session, please take a look at Holly’s GitHub to download relevant code/data.
The ongoing global pandemic has brought the sports and live entertainment industry to a grinding halt. The Sacramento Kings have leveraged data and technology to maintain a relationship with their passionate fanbase and drive revenue through enhancing existing initiatives and creating new programs not imagined 12 months ago.
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