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Industrial Algorithms (IAL) specializes in providing efficient solutions for modeling and solving advanced planning and scheduling (APS) problems as well as data reconciliation and parameter estimation (DRPE) problems in industry.
The principals have worked in companies such as Shell, Exxon, Honeywell, Dash Optimization, Axioma, FICO, Verisk, Interthinx and consulted for more than 100 companies gaining over 50 man-years of both production and process modeling and optimization experience for planning, scheduling, control and estimation problems in the process and financial industries.
Our modeling and solving system is the next-generation in developing and deploying decision-making and data-mining solutions. We have a unique and innovative approach to automating the creation and configuration of mathematical programming problems to manage its complexity, hierarchy and uncertainty.