Our platform works best when we integrate sensor data with other data sources such as quality control, customer feedback, and even HR data on the shifts. Quva® Flow will benefit from historical data but regardless will use sophisticated algorithms to learn over time and help you set statistical process controls. Examples of industries we focus on:
Examples of production line types we support:
Quva® Flow automatically combines data from relevant data sources in the mill, automatically analyzes them, and presents the results in an easy-to-use, visual format that is approachable for mill personnel to make decisions based on the information.
Quva® Flow is especially well-suited for industrial environments with several user roles such as operators, process engineers and managers, and with myriad of underutilized data such as process automation data.
As the person responsible for the product quality or the whole manufacturing process, you are fully aware of how successful continuous improvement and minimization of variation can reduce waste, increase customer satisfaction, and enhance your competitive edge. That is why you make a constant effort to work on the continuous improvement of your processes.
Read the guide
As a quality or production manager of an industrial company, you already are fully aware of the potential that lies in your production data. The data stream captures all indications, causes, and consequences of process malfunctions and anomalies – in other words, everything you need to boost operations, streamline processes and guarantee consistent end quality. You are holding a real gold mine in your hands, but all the treasures remain hidden because you lack sufficient tools.
Read the guide
