2019 Winner Profile

Owens Corning

Project Description:
Producing fiberglass is a time-sensitive proposition, with raw materials and the end product being moved around constantly. At any point in time there are between 35 to 45 railcars in transit. Owens Corning's flagship plant was dealing with high transit time, high variability in rail car movements and an inability to plan capacity for raw material inventory at an optimal cost. Data came to the rescue, and the company can now visualize potential failure points, proactively plan for alternatives, and forecast accurately with machine learning to help mitigate risk. The solution was quickly adopted across 11 other plants and by two business partners working with other suppliers and carriers, becoming an enterprise-wide capability.
Business Goal:
Supply Chain Impact
Steven Zerby
Mike Thaman
Toledo, OH
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