Litmus and AWS: Harnessing Data to Optimize Manufacturing

Manufacturers are facing unprecedented hurdles that were not impacting this industry 50 years ago. Enabling Industrial DataOps is at an unprecedented scale. Creating a repeatable, predictable, and proven journey for manufacturing companies venturing into the realm of advanced data operations has become a concern for many. By streamlining the process of collecting, analyzing, and utilizing data directly from operational technology, a company could reduce the risks typically associated with integrating modern technologies into complex manufacturing environments. Accelerating innovation by making innovative data analytics and machine learning capabilities more accessible and actionable is the goal.

How do manufacturers gain better control over their technology stacks, while allowing for more agile responses to market demands and operational challenges? A framework would not only simplify the adoption of advanced analytics and AI (Artificial Intelligence) but also ensures that companies can scale their operations without being hindered by data silos or incompatible systems.

The Litmus and AWS partnership is about enhancing current capabilities and laying a foundation for continuous improvement, innovation, and efficiency in the manufacturing sector.

For manufacturing companies, the Litmus and AWS solution extends beyond technological integration; it offers a strategic advantage. Simplifying data operations at the edge and leveraging AWS’s robust cloud capabilities allows manufacturers to enhance operational agility, increase the reliability of their data-driven decisions, and achieve scalable transformations across multiple plants.

This approach not only addresses the immediate need for integrating and managing data more effectively but also sets the stage for future advancements where edge computing plays a pivotal role in operational strategies. In this collaboration, crafts a roadmap for sustainable, efficient, and progressive manufacturing operations.

In the pursuit of operational efficiencies and enhanced decision-making, industrial and manufacturing companies continually seek technological solutions that streamline processes and leverage data to its fullest potential. Litmus, the leading Industrial DataOps provider, has embarked on an innovative journey with AWS (Amazon Web Services), a global leader in Cloud solutions, to redefine the landscape of manufacturing operations through a pioneering partnership.

The collaboration centers around integrating Litmus Edge directly into AWS SiteWise, allowing for seamless deployment and operation within the manufacturing environment. This integration provides users with the capability to deploy Litmus Edge as a plug-and-play solution directly from the AWS SiteWise portal using AWS Greengrass infrastructures on-premises at plant sites. This promises to significantly simplify the process of data integration and management at the plant level, providing a substantial boost in operational efficiency.

Litmus Edge’ unique value proposition lies in its ability to unify OT data operations into a single solution, enabling industrial data operations at scale. Packing data collection, data processing and edge analysis, data modeling using digital twins, and data integration into Litmus Edge – allows a refined data funnel to AWS SiteWise, positioning Litmus Edge as more than just a data provider — it becomes an integral part of enabling industrial data operations at scale. It not only streamlines the data flow from the edge to the cloud, eliminating the need for additional middleware and thereby reducing both complexity and implementation time.

Furthermore, an upcoming capability within Litmus Edge, involves building machine models at the edge, directly addresses a major industry pain point. Traditionally, models created in the cloud need to be tailored to reflect local machinery conditions accurately. Litmus Edge minimizes mismatches and logistical challenges, making the data models more robust and representative of operational parameters.

AWS collective expertise, alongside Litmus’ innovative technology, provides manufacturing enterprises with not just tools, but a transformative strategy that optimizes both edge and cloud operations.

The partnership between Litmus and AWS lays the groundwork for many groundbreaking applications within the manufacturing realm. With the real-time operational technology data gathered by Litmus Edge and the advanced data analytics and storage capabilities of AWS, several potential use cases come into focus:

• Industrial AI

  Manufacturers can deploy AI algorithms to detect patterns and anomalies in their operations that would be indiscernible to the human eye. These algorithms can predict machine failures or necessary maintenance tasks before they occur, minimizing downtime and optimizing the lifespan of the machinery.

• Real-Time Quality Prediction

  Quality control is critical in manufacturing, and the advent of this partnership enables companies to implement real-time quality prediction systems. By continuously analyzing data from the production lines, businesses can foresee and rectify potential defects, thus ensuring higher quality products reach the market.

• Statistical Process Control Optimization

  By tapping into accurate and up-to-date data provided by Litmus Edge, companies can vastly improve statistical process controls. With AWS’s data analytics, these controls become more responsive and accurate, facilitating a reduction in variability, and optimizing the manufacturing process.

• Energy Consumption Analytics

  The integrated system can also monitor and analyze energy consumption across various operations, enabling facilities to identify inefficiencies and implement more sustainable practices and cost-saving measures.

• Predictive Supply Chain Adjustments

  Better data analytics paves the way for more responsive supply chain adaptations. By predicting potential disruptions or changes in demand based on real-time data, companies can adjust procurement and inventory levels accordingly.

• Customization at Scale

  For businesses that tend to specialize in customized products, this partnership could mean the ability to offer a greater degree of personalization without compromising on production efficiency. Real-time analysis can streamline the customization process, managing complex variables effectively.

In harnessing the capabilities of both Litmus Edge and AWS, manufacturing companies stand to revolutionize their operations, adopting a more proactive and predictive stance in handling everyday challenges and long-term strategic planning. These use cases represent just a glimpse of what’s possible when powerful edge computing synergizes with the expansive analytical prowess of cloud computing.

As advances in technology evolves, the focus remains on enhancing the integration between edge operations and cloud-based analytics, providing a seamless flow of high-quality, actionable data. This constructive collaboration not only empowers manufacturers to optimize their operations in real-time but also aligns with broader digital transformation initiatives that are increasingly vital in a competitive and rapidly changing market.

Stay tuned as we continue to develop this partnership, fostering innovations that drive not just operational efficiencies but also bring about a new era of industrial agility and data-driven decision-making.

Register in our upcoming webinar to learn more.