Advanced Functionality of Digital Mining Predictive Analytics and Insights Platform
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CR Digital is a digital technology business specializing in the development of mining technology software and services. It is a subsidiary of CR Mining, a technology enabled mining company that enhances customer productivity and performance globally. CR Digital has a goal to be the leader in the mining industry when it comes to providing not only mining tools and equipment but also digital capabilities. CR Digital develops its products to be widely connected in the mining data ecosystem, using open API concepts to drive potential for data interoperability. CR Digital has three main products a) Titan 3330, a load haul optimization solution that provides real time payload information, b) Thunderbird, a drill efficiency indicator solution that CR Digital acquired in 2019, and c) GET Trakka, a GET loss detection system that CR Digital acquired in 2020. CR Digital uses Orion, an analytics portal, to display meaningful insights from the data generated by the three products and dashboards that provide a better visual representation of the data. CR’s high level goal is to increase revenue for its digital products in the Americas (North America and South America) by increasing the value, especially productivity measure in tons moved per unit time, that its digital offering brings to its customers. CR will increase digital revenue by providing impactful data analytics insights as part of its CR Digital offering, enabling tangible improvements in customer mining operations, and generating substantial value for those customers. CR’s data analytics insights need to be able to be delivered in a scalable manner, in all regions of the global mining industry, in particular the Americas. Using Orion, CR Digital has rolled out Titan analytics and will roll out Thunderbird in Q4 2021. GET Trakka integration will happen in Q1 2022 because CR Tech does not have it in the roadmap for 2021. As a result, as a part of CRD’s Analysis and Improvement Service, this project will focus on developing a suite of advanced analytics solutions for the Titan (in Q3 2021), using machine learning techniques such as linear regression, logistic regression, classification trees, random forests, neural networks and/or XG boost. These machine learning methods will be used to build scalable insights to drive productivity increases for the mines. The project will be deemed successful if the supervisors and operators at the mines are able to not only be proactive in making decisions but also are able to make real time decisions while working the machines. The project will also include analyzing the current business model of the three products and optimizing it to not only keep the customer experience seamless but also generate recurring revenue for the digital business. With predictive analytics, CRD has the potential to add an incremental $9.7 million in annual revenue and a mine’s expected throughput could increase by $15 million.
DepartmentSloan School of Management; Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Massachusetts Institute of Technology