The SAS Data Science Blog

Advanced analytics from SAS data scientists
Advanced Analytics
Natalia Summerville 0
Maximize product quality with Optimization and Machine Learning models

Machine Learning models are becoming widely used to formulate and describe processes’ key metrics across different industry fields.  There is also an increasing need for the integration of these Machine Learning (ML) models with other Advanced Analytics methodologies, such as Optimization. Specifically, in the manufacturing industry, SAS explored state-of-the-art science

Advanced Analytics
Rob Pratt 1
Automated linearization in SAS Optimization

Linear programming (LP) and mixed integer linear programming (MILP) solvers are powerful tools. Many real-world business problems, including facility location, production planning, job scheduling, and vehicle routing, naturally lead to linear optimization models. Sometimes a model that is not quite linear can be transformed to an equivalent linear model to reduce

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