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Machine Learning Powers Sustainable Manufacturing
Posted on April 20th, 2017 by Christina Valimaki in Chemical Manufacturing Excellence
Interest in sustainability intensifies day by day, with consumers concerned now more than ever about their role in a sustainable future. They are becoming increasingly careful regarding the environmental impact of their consumption and more willing to reward companies that offer eco-friendly products and processes. That’s why it’s smart for businesses to implement sustainability measures, as it has both environmental and commercial implications. This is particularly relevant in the chemicals industry, which is responsible for one-third of all energy consumption in American manufacturing.
Of course, just because sustainability is a good idea doesn’t make it easy. For instance, a completely biodegradable product that will appeal to sustainability-minded consumers could end up requiring an outrageous amount of water or energy to produce, thus compromising its overall environmental impact. So researchers must look ahead and consider sustainability from all angles—which can be a time-consuming process. That’s where machine learning tools come in.
Read this new article in Manufacturing.net to find out how a machine’s ability to process big chunks of data and run numerous experiments at a rapid pace can have the power to benefit the pursuit of sustainable innovation.
All opinions shared in this post are the author’s own.
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