Braincube was selected to partner with Steel Company X in the mining area of its digital transformation process. One of Brazil’s key steel producers, Steel Company X represents a landmark in the country‘s industrialization process (both historically and in modern times). They are also one of the world’s most efficient integrated steel-producing complexes.
Here’s how they wove new digital solutions into their existing continuous improvement methodologies.
Implementation
In 2019, Steel Company X partnered with Braincube to assist with its digital transformation. Braincube is an IIoT platform with specialized applications designed for industry. Steel Company X’s team wanted to leverage Braincube’s advanced analytics capabilities to accelerate their production KPIs and bring digitalization into their factories.
Specifically, they wanted to increase metallurgical recovery on the flotation lines. This would allow them to potentially avoid fluxes like sand and rich slag. The company’s engineering team and the local Brazilian Braincube team began a connectivity audit to understand their available data. This helped the team know where to install sensors and, eventually, set them up to interrelate all of their variables including raw material suppliers, weather, shifts, etc.
Steel Company X worked with their local Braincube team to build a digital twin of their production process. This virtual environment emulates the production reality of the plant and is continuously updated to reflect the current production state.
Additionally, Braincube’s platform connects data from a variety of siloed systems and transforms it into usable information for decision-making, optimization, and better process insights.
Transformation
Steel Company X inputted their specifications into Braincube so that they could quickly analyze, control, and implement rules into their process. This included areas such as silica construction and operational restrictions.
With more than 600 variables in their mining process, the company needed technologies that were more robust than Lean strategies. Braincube’s CrossRank AI algorithm helped reveal optimizations that had not been previously understood. By adding all 600 variables to the study, they were able to take an unbiased approach to their data and reveal complex, undiscovered data relationships.
Braincube’s Advanced Analysis App
Braincube’s suite of Advanced Analytics applications, which leverage Braincube’s CrossRank AI technology, allowed the team to rank the most influential factors. These apps helped them identify the ideal combination of parameters to achieve their optimal metallurgical recovery. The company’s engineering team worked with Braincube consultants to determine which production rules should then be implemented on the shop floor.
Next, the team used the Braincube Live App to push these changes into production. Braincube Live is a digital dashboard displaying the exact (or range of) setpoints that operations should apply to stay compliant. This gives the shop floor an intuitive and dynamic way to view the parameters for prioritization. Alerts can be configured to notify teams if something goes out of compliance, allowing for faster reaction times to prevent shutdowns, breakage, and lost time.
These digitalization improvements go beyond the plant floor. Process engineers can monitor the performance of the production rules through automatic reports generated within Braincube, from anywhere in the world. Automated reports are now part of an integrated routine to leverage the data that’s collected.
This new way of working stems from Steel Company X’s existing Six Sigma initiatives for metallurgical recovery in flotation. The company has seen positive results from implementing Braincube: they intend to expand Braincube to additional lines, building a stronger continuous improvement strategy over time.
Innovative solutions for Industry
Maximize your human potential. Achieve profitable performance. Drive your continuous improvement forward. See why industrials choose Braincube.
To meet customer and quality demands, mines and metals manufacturers must maintain the right specifications throughout their long and complex production cycles that span across distance and time.
Optimize your manufacturing operations with proven strategies and real success stories to drive efficiency, motivate teams, and navigate change. Download the guide now.
Braincube’s IIoT tools help mines and metals companies cut costs by consolidating data, minimizing hazards and failures, and improving predictive maintenance and reliability.
This white paper outlines a three-stage model to help manufacturers overcome common challenges in AI adoption, such as data quality and system integration, and achieve AI readiness to unlock significant operational benefits. Manufacturers can enhance efficiency, quality, and decision-making capabilities by progressing through these AI Readiness stages.
Revolutionize your paper manufacturing with AI-driven optimization. Enhance efficiency, cut costs, and achieve autonomous operations like industry leaders Arjowiggins and Oji Paper. Embrace the future of smarter production!
Read how AI enhances traditional methods by enabling deeper insights, faster responses, and more accurate predictions, leading to advanced analytics, autonomous operations, and unprecedented efficiency.
Some features of this website rely on services offered by third-party sites. If you give your consent, these third-party sites will add cookies that will allow you to view content hosted by these third-parties on our site. They will collect your browsing data and use the data collected via their cookies for purposes they have determined in accordance with their privacy policy (links below). You can give or withdraw your consent on this page. You can express your choice globally or purpose by purpose.
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics, themetrics the number of visitors, bounce rate, traffic source, etc.
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Preference cookies are used to store user preferences to provide content that is customized and convenient for the users, like the language of the website or the location of the visitor.
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.
Undefined cookies are those that are being analyzed and have not been classified into a category as yet.
Introducing predictive analyticsDive deep into your processes to uncover hidden improvement opportunities. Detect patterns, prevent downtime, and reduce costs.
Introducing predictive analytics
Dive deep into your processes to uncover hidden improvement opportunities. Detect patterns, prevent downtime, and reduce costs.