CESMII and Atollogy Champion Industry 4.0 in the U.S.
Known as Smart Manufacturing in the US and Industry 4.0 in Europe, it is a major transformation of traditional manufacturing to make all operational data available when and where it is needed and in a user-friendly format. All facets of operations are enhanced with wireless connectivity and sensors and then connected to systems that visualize and digitize entire facilities, including production, inventory control, and yard management.
In essence, Industry 4.0 describes the trend towards automation and data exchange in manufacturing technologies and processes which include cyber-physical systems (CPS), the internet of things (IoT), industrial internet of things (IIoT), cloud computing cognitive computing and artificial intelligence.1
CESMII stands for The Clean Energy Smart Manufacturing Innovation Institute and was launched in 2016 by the US Department of Energy to promote technologies that help manufacturing capture and process data in real-time. The goal is to use this data to fundamentally improve process controls and operational efficiencies, especially around clean energy usage. Clean energy comes from higher equipment utilization rates, improved yields, as well as reduced vehicle queue times. In short, more efficient equipment and vehicle usage saves energy, increasing profits while reducing carbon footprints.2
Atollogy is honored to have been selected by CESMII as the only non-university demo node. Atollogy’s lab will showcase the use of A.I. and computer vision to support smart manufacturing without the need for new equipment, IT investments, data analytics, or continuous improvement teams. Atollogy’s simple SaaS model provides a simple-to-install kit with everything needed to run Smart Manufacturing for both inside and outside operations.
Computer vision is a great tool to reduce energy consumption in a wide variety of operations.
In factories, Atollogy’s computer vision helps increase machine utilization by flagging ignored machines (ones where the job is finished, and the operator has not setup a new job or the machine is starved for inventory and sitting idle). Ignored machines continue to consume energy while losing money for their owners. Computer vision also provides insight into operational staffing. How many workers are attending a machine or work center and for how long as well the operational status and throughput of the respective machine was very hard to quantify but is now easily achieved with computer vision. And with the corresponding information, companies can analyze and optimize their staffing needs.
Atollogy and CESMII are two organizations that are bolding working on the future of Smart Manufacturing and excited about the many applications for A.I. and computer vision to provide clean energy while reducing waste and safety violations.3
Anthony Tarantino, PhD
Adjunct Professor, Santa Clara University – Operations, Finance, Lean Six Sigma
Six Sigma Master Black Belt, Certified Scrum Master, CPIM (APICS), CPM (ISM)
Senior Advisor to Atollogy