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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.
On this panel, leaders of some of the world’s most prominent companies driving the sports ecosystem discuss their proactive approach to understand customer needs, the changing business dynamics and the challenges keeping their businesses as industry leaders.
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