(109f) Keynote Talk - Platforms and Algorithms for Digitally-Enabled Next-Gen Manufacturing
AIChE Annual Meeting
Applied Artificial Intelligence, Big Data, and Data Analytics Methods for Next-Gen Manufacturing Efficiency I
Monday, November 8, 2021 - 2:25pm to 3:00pm
During the same time period, operating companies, notably ExxonMobil, issued a call for fundamental changes to the state-of-the-art of industrial control systems to address âpain pointsâ including (1) a lack of interoperability between systems from different suppliers, (2) unacceptably high
costs for upgrades or replacements compared to other computing systems, and (3) restrictions on business value generation caused by barriers to insertion of third-party technology innovations (Bartusiak, et al. (2015)). This call to action resulted in the establishment of the Open Process
Automation Forum of The Open Group in 2016 that is working to establish the industry standards for an open, secure, interoperable process automation architecture (https://www.opengroup.org/forum/open-process-automation-forum). The intent of the Open Process Automation Standard is to solve the identified industrial control system pain points and to enable realization of the vision of Industrie 4.0 and the Fourth Industrial Revolution for manufacturing.
Central to the Open Process Automation and Industrie 4.0 visions is a step-change increase in the pace of innovation with technologies including applied artificial intelligence, big data, and data analytics applied to manufacturing compared to the status quo with current industrial control system products that are of a closed, proprietary nature. Explicitly, one of the intentions of Open Process Automation is to increase opportunities for academic researchers and other technology providers to get their research transferred to industrial practice by reducing commercial barriers and the time it takes to deploy new technology.
In this talk, we will provide updates on the status of the Open Process Automation Standard (O-PAS), industrial prototypes of O-PAS based systems (Bartusiak, et al. (2021)), O-PAS conformance certification, and the state of Open Process Automation business ecosystem building. This will include guidance to academic researchers on how they can leverage the O-PAS Standard to facilitate the adoption of their research. We will comment on the relationships among Open Process Automation, Industrie 4.0, and similar initiatives -- such as the Clean Energy Smart Manufacturing Innovation Institute (CESMII) (Edgar and Pristikopoulis EN. (2018)), Manufacturing x Digital (MxD) (https://www.mxdusa.org), NAMUR Open Architecture (Klettner, et al. (2017)), and NAMUR Module Type Package (Bernshausen, et al. (2016)). Finally, we will comment on our outlook for new process systems engineering technologies -- including applied artificial intelligence, machine learning, big data, and data analytics -- to enable next-gen manufacturing efficiency.
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