Energy Supply Chain Optimization and Prescriptive Analytics

This is a re-blog of a post by Chris McManaman, Director of Commodity Trading and Risk Management at CGI, that discusses how optimization models (prescriptive analytics) are successfully being applied in the Energy supply chain.

The ever-increasing complexity of the global marketplace is making optimization even more important to organizations. With easier access to such powerful tools, more companies are turning to optimization models to help make crucial decisions including tasks such as hedging strategies, storage management, allocating inventory, selecting transportation routes, product optionality, blending and optimizing portfolios.

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Supply Chain Brief