Developing optimization solutions often requires rapid deployment to users in order to take full advantage of the capabilities. Opalytics has developed a cloud platform that provides an easy-to-use user interface and powerful deployment capabilities for optimization models. It also provides a schema wrapper for Gurobi using Python APIs that makes it easy to deploy on the platform and therefore enables fast end-to-end custom optimization development. In this one hour video, Dr. David Simchi-Levi will show one example - Network Risk Optimization based on work he did with Ford, that won the 2014 Daniel H. Wagner Prize for Excellence in Operations Research Practice.
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