Using machine learning to ensure greater metallurgical recovery
Understand how Artificial Intelligence helped define startup parameters and reduce instability in ore pile switching
Data in favour of operational efficiency
Integrating data from your industry's supply chain allows you to understand operational standards.
With this learning, it is possible to suggest, online, the ideal process parameters for the current production scenario.
A mining company we serve, for example, managed to increase the recovery rate of its plant by 0.5% with this application.
No more operating your plant "blindly", waiting 2 hours or more to get a quality analysis.
Deploy a virtual sensor (soft sensor) that can predict the quality of your process, at a much lower cost than an online analyzer.
Operators will be able to make decisions with reliable, quality information every 5 minutes!
The correct and optimal dosing of inputs is of utmost importance to obtain the desired product.
To assess whether dosing is consistent, we have developed algorithms that can understand whether there is over- or under-dosing in your process.
A metals industry located in Peru, for example, achieved estimated savings of at least $1M using our analytical models.
Unexpected stoppages occur and generate losses, rework and accidents.
Imagine having access to the data that explains the root cause of an outage without having to search for data in separate sources and organize it in Excel.
Using all artificial intelligence and knowledge of the shop floor, our solution offers just that: the integration of data related to a shutdown in an easy way.
Data science, machine learning and AI, without strategy and alignment with the business, are pure adventure and waste of money.
According to MIT and the Boston Consulting Group, 7 out of 10 data projects fail, precisely because of a lack of planning.
Count on us to design the analytics strategy for your industry, aligning the pillars of business, culture, technology and people.
A pipeline leak can cause great financial loss and considerable environmental damage.
Faced with this pain, we have developed a fast, online leak detector for pipelines transporting products such as iron ore or its tailings.
The detector can be used for a variety of fluids, and is already in use by one of the world's largest mining companies on over 5 pipelines in its plants.
Apart from emerging technologies, what other factors are determining factors in a digital transformation journey?
A lot of people talk about Digital Transformation, but few companies are really in the process. Is yours?
We know how difficult it is to find efficient tools and appropriate solutions to your problems. Our team is available to help you choose the best solution, based on our experience in the most diverse areas of the industry.
Article on Innovation Ecosystem: series of discussions held by Stefanini in partnership with Dom Cabral Foundation and Startupi, in this episode addressing the industry vertical.
Article by our director Gustavo Brito about the challenges that the pandemic brings to the industry and what the reality may be from now on.
Matter that addresses the use of automation and data integration in logistics processes, and how this can make a difference.