What’s New in Gurobi 12.0
Leverage enhanced nonlinear solving capabilities, easily monitor memory consumption, and solve more efficiently with distributed computing.
What’s New in Gurobi 11.0
Experience global nonlinear solving, speed enhancements, dynamic distributed tuning, and enterprise features.
Gurobi Experts Brochure
Our experienced, PhD-level specialists are passionate about helping you succeed with optimization.
Supply Chain
To keep supply and demand in balance and deliver products and services to customers in the most efficient and profitable manner possible, companies today need to leverage the most powerful data-driven, analytics-based technologies – and, without a doubt, mathematical optimization is one of those technologies.
Financial Services
Mathematical optimization is used by leading financial services companies today to optimize many different customer-facing and back-office functions. These companies rely on mathematical optimization to help them efficiently manage their assets and operations and make the best possible business decisions.
Healthcare
With mathematical optimization, healthcare providers can ensure the timely resolution of healthcare issues for patients, improve resource utilization and employee satisfaction, and reduce operating costs – so that they safeguard the health of society as well as the sustainability of the healthcare system.
Telecommunications
Discover how mathematical optimization can empower telecom companies and regulators to make data-driven, optimal decisions on how to manage their operational networks and supply chains and utilize their resources – so that they can satisfy demand, drive revenue growth, and profit from the opportunities of the 5G era.
Electric Power
Download the Electric Power Industry Solution Sheet to learn how mathematical optimization technologies can help electric power companies handle the challenges, complexity, and changes in their industry landscape today and in the future.
Manufacturing (Make to Stock Approach)
Mathematical optimization empowers companies employing the make to stock approach to utilize their demand forecasts to fuel data-driven, optimal planning and decision making – so that they can maximize their operational efficiency, minimize costs, and match inventory with demand in the most cost-effective and profitable way possible.
Manufacturing (Make to Order Approach)
Mathematical optimization can help manufacturers of MTO products balance the complex tradeoff between project costs and times, maximize the utilization of their resources, and manage their end-to-end supply chain operations – so that they can consistently deliver products to customers and profits to shareholders.
