Non-Convex QP Support
Gurobi solvers support the complex strategic planning, supply chain management and daily operations of chemical and petroleum manufacturers, marketers, and distributors. Optimization enables decision makers to improve planning, scheduling, and production processes within refineries that impact day-to-day business operations and long-term asset investment strategies.
Non-convex quadratic optimization
With the addition of a new bilinear solver in Gurobi 9.0, the Gurobi Optimizer now supports non-convex quadratic optimization. This groundbreaking new capability allows users to solve problems with non-convex quadratic constraints and objectives – enabling them to find globally optimal solutions to classic bilinear pooling and blending problems
Business problems include:
Resource planning, asset investment strategy, unit performance monitoring, production yields, crude oil loading and unloading, mixing of crude oil, distribution of products, oil explorations, crude oil procurement, pipeline design and planning, distribution optimization, workforce scheduling, vendor selection
Common optimization problems:
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