The adoption of these strategies allowed Voss to not only streamline its data processes but bring a new level of intelligence and efficiency into its manufacturing operations. The implementation began in December 2023 and took about three months to fully implement.
“Using Litmus Edge, we've improved the integration and automation of our OT infrastructure management and deployment. This advancement helps us move towards unifying and standardizing our data practices throughout our organization,” said Sacha Dannewitz, chief information officer at Voss Automotive.
A manufacturing intelligence transformation
In Litmus Edge, every data point collected is analyzed and processed before the data is sent to an external app, tool or cloud-based services for advanced applications. As the data gets processed, each data point gets context added to it, providing the what, when, how, why and who owns the data.
To make it simpler for data teams, Litmus Edge has more than 50 built-in statistical functions including anomaly detection, multiple filters and averages that can analyze the data and immediately generate common KPIs in near real-time. The generated context can be correlated to derive additional insights like energy usage from machine data, providing data driven energy monitoring and control support, without the need for an expensive energy monitoring software. This eliminates the need for complex integrations, latency and additional data transfer challenges.
By adding context to its data, Voss was able to gain actionable insights that had previously been obscured by the sheer volume and complexity of information. The automation of KPIs brought standardization and efficiency, allowing for a more nuanced understanding of machine performance and energy consumption. Furthermore, the change of value feature in Litmus Edge ensured that only the most critical and relevant data were communicated, preserving bandwidth and focusing attention where it was needed most.
Sebastian Rodtmann, digital manufacturing business analyst at Voss Automotive, noted that “with Litmus Edge we have been able to add context to manufacturing data right at the source, calculate the desired KPIs at the edge and send them to the cloud—all fully automated within one workflow and one software piece. Thereby, we are replacing four steps with one, resulting in a more efficient, robust and agile data landscape.”
John Younes is chief operations officer and co-founder of Litmus.
