How the NFL Uses Gurobi to Create Its Schedule
See how the National Football League uses the Gurobi Optimizer to solve one of the hardest and most scrutinized scheduling problems in existence.
Customers
New Directions for Optimization
In this video, Gurobi CEO and Co-founder Ed Rothberg discusses our motivations for some of the recent features we’ve added to the Gurobi Optimizer. We’ll then look at recent developments in the field and talk about how they are influencing our thinking about potential future directions.
Sports Scheduling
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Gurobi solvers in sports scheduling can be considered as much art as science in combining a fascinatingly varied amount of data into a schedule that impacts players and audiences from around the world each season. Optimization provides planners with the data they need to evaluate any given possible schedule, identify what they want to change and see the resulting effects until the optimal end result is achieved.
Supply Chain
Leading companies across numerous industries use Gurobi’s mathematical optimization solver – in a wide variety of applications – to optimize their supply chain planning, decision making, and operations and keep supply and demand in balance.
With mathematical optimization, you can:
- Attain visibility and control over your end-to-end supply chain network.
- React and respond rapidly and effectively to changing conditions and disruptions across your supply chain.
- Make dynamic, data-driven decisions that optimize your company’s efficiency and profitability.
- Achieve your business goals by balancing cost and service-level tradeoffs – simultaneously satisfying customer demand and spurring bottom-line growth.
- Transform your supply chain from a source of costs into a source of competitive advantage.
Energy and Utilities
Gurobi solvers allow energy and utility companies to respond to the growing demand for services each year. Optimization enables organizations to delicately balance consumer utilization with responsible management of power generation and distribution. Optimization allows companies to turn data into insight by combining economic, social, and environmental considerations into a single mathematical model. Optimization can also be used to help companies mitigate risk and uncertainty in an increasingly competitive market.
