A large paper products manufacturer—with distribution to more than 175 countries—came to Braincube with the hopes of reducing its steam consumption. Energy consumption consisted of 15-20% of the total paper production cost. Optimizing their entire process would reduce overall cost, increase their efficiency, and reduce their water use.
With more than 200 process parameters used to make this paper product, it’s a complex process to understand and to optimize. In addition, former analyses showed no correlations between steam consumption and process parameters.
Braincube worked with this company to create a Digital Twin of their entire production process using two years of historically-collected data. In addition to calculating the lag time, Braincube aggregated and contextualized the company’s data. This provided the company’s engineers with a perfect data set to use for analysis.
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