Lubrizol, a specialty chemicals company, faced a challenge common to manufacturers in its sector: how do you test dozens or hundreds of new chemical formulations every year in a timely and cost-effective manner? The answer: better data analysis.
The Wickliffe, Ohio, company developed a virtual testing and data analytics system called Q.LIFE®, a solution so successful that the Innovation Research Interchange (the NAM’s innovation division) recognized it with the IRI Innovation Excellence Award for Digital and Technological Innovation. Here’s how they did it.
The problem: To develop its additives for engine oils, industrial lubricants, gasoline and other products, Lubrizol must run expensive tests that often took weeks if not months to complete.
- Q.LIFE® changed the game, by providing more than 1,000 predictive models for different aspects of product development and deployment. For example, Q.LIFE® can help predict the outcome of those tests before they’re conducted, sometimes even eliminating the need to run a test in the first place.
- It also helps the company identify potential issues with raw materials before they end up in Lubrizol’s products.
- Last, as an added benefit, the system serves as an aid for training new employees on company processes.
Putting it to use: “Getting a handful of early adopters to start using it was key to making this a successful analytics system for years to come,” said Lubrizol Senior Manager of Data Science & Analytics Allison Rajakumar, one of the project’s pioneers.
Read the full story here.