This exciting video provides an overview of ACOMP, a smart manufacturing system that generates real-time polymer measurements and enables improved process control, as well as a few case studies and new reaction data. The Optimized Polymer Reactions and Enabled Process Control video is presented by Julia Siqueira, a researcher at Tulane University’s PolyRMC, the university...Read More
The Continuous Polymer Analytics webinar by our Co-founder & President, Alex Reed, captures how our ACOMP system continuously analyzes polymers during production, enabling users to control desired polymer specifications and characteristics. ACOMP is a smart manufacturing system that plays a leading role in digital transformation plans by generating never-before-seen data sets that improve product quality...Read More
The theme of Yokogawa Electric Corporation's Y NOW 2021 conference was Realizing Autonomous Operations. Alex Reed, CEO and Co-founder of Fluence Analytics, delivered a keynote talk about enabling autonomous polymer operations through digital transformation. Alex's keynote discusses three of the most important aspects of polymer manufacturing: specifications, operational efficiency, and inventory management. The polymer industry...Read More
How Digital Transformation Enables Autonomous Polymer Operations Fluence Analytics investor, Yokogawa Electric Corporation, is hosting its annual Y NOW conference on November 2-4, 2021. The theme of this year’s free, virtual event is Realizing Autonomous Operations. The conference’s program will include discussions about IIoT, supply chain management, asset performance, advanced analytics and much more. Last...Read More
The Industrial Internet of Things (IIoT) and smart manufacturing initiatives are accelerating the creation of new technologies, transforming global manufacturing. Like most innovation, competitive advantage and measurable, improved economics will be the biggest drivers of adoption. Enhanced sensors, data collection, analysis, visualization and interpretation will drive accelerated learning from existing processes and inform the design...Read More
The Industrial Internet of Things (IIoT) is already transforming the manufacturing industry by enabling a dramatic rise in increasingly advanced, real-time measurements yielding more and more actionable data. This has already created new opportunities for optimization and will continue to accelerate the adoption of machine learning. Examples of IIoT transformation can be found across established...Read More
