Lead the way to Autonomous Operations
Industrial autonomy is the ultimate pathway for manufacturing industries toward autonomous operations. By leveraging advanced, digital technologies, such as Artificial Intelligence (AI) and machine cognition, it creates learning and adaptive capabilities that enable automated responses to emerging situations without human operator interaction.
We empower businesses to transition from Industrial Automation to Industrial Autonomy (IA2IA)—enabling sustainable, digital transformation in a inter-connected System of Systems world.
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How We Power Autonomous Operations
Reinforcement Learning AI Enables Stable Operations & Lower Emissions
Jointly developed by Yokogawa and the Nara Institute of Science and Technology (NAIST), Factorial Kernel Dynamic Policy Programming (FKDPP) is an autonomous control AI protocol that makes use of reinforcement learning technology. It can control and autonomize areas of plant operations that have been beyond the capabilities of existing control methods and have up to now necessitated manual operation. Yokogawa put FKDPP into practical use by utilizing the company’s know-how regarding plant operation and control, and successfully autonomized manual operations of a distillation column during a field test at a chemical plant.
Robotics Improves Safety and Efficiency in Plant Operations
OpreX Robot Management Core is a key product in the Yokogawa robot operations solution. By integrating the management of various types of robots that perform plant maintenance tasks conventionally carried out by humans, this software will help customers maintain their facilities in a safer and more efficient manner. In addition, when connected to a plant’s control and safety systems, it enables the utilization of manufacturing site data that has been acquired by robots, and the issuing of procedural instructions to robots, thus enabling the first step to be taken toward autonomous plant operations.
Control of Work Enables Safe Industrial Autonomy
Even as Industrial Autonomy advances, ensuring human safety and managing risks remain essential.
Control of Work (CoW) provides strict oversight of who performs which tasks and how they are executed, thereby ensuring the safety of hazardous operations. This oversight ensures that, even in autonomous systems and work environments, appropriate qualifications and procedures are consistently followed, helping to prevent accidents and incidents. As such, CoW serves as a foundational element for maintaining safety in the implementation of Industrial Autonomy.
Pathway to Autonomous Operations in Refining and Petrochemicals
IA2IA in Action (Case Studies)
Stable Operations & Lower Emissions with Reinforcement Learning AI
As the world's first proven application of reinforcement learning AI in real-world plant operations, ENEOS used FKDPP AI to handle complex operations, ensuring consistent product quality & optimize waste heat utilization.
Improved Asset Monitoring with AI-Powered Multi-Robot Collaboration
Shell and Yokogawa have partnered to develop AI- and robot-based inspection solutions. The collaboration aims to enhance safety and efficiency in plant operations by integrating Shell’s visual analytics tool with Yokogawa’s robot management platform.
Accelerating Transformation with an Industry 4.0 Roadmap
Using the Smart Industry Readiness Index (S.I.R.I.), Yokogawa helped Mewah assess its digital maturity and identify and prioritize areas where transformation could deliver the greatest operational and financial impact, aligned them with the Mewah Group’s Industry 4.0 roadmap.
Improved Efficiency & Reliability with Machine Learning Enabled Alarm Management
For BASF, we implemented Alarm Behavior Analysis to analyze the cause-and-effect relationship between alarms and operations, and used e-SOP technology to analyze all the actions taken by operators after alarms were generated.
Shifting Operators to High-value-added Data Analysis Work
For DIC Corporation, we realized a Data Utilization Platform to dramatically reduces the enormous amount of time required for data analysis preparation and has enabled operators to focus on data analysis, as it should be.
Industry 5.0 Enabled Control of Work For Interconnected Worker Safety
Implement Industry 5.0 ready Control of Work software systems and monitoring safety critical asset items, plants can ensure a safer working environment, reducing the risk of accidents and enhancing overall operational efficiency.
AI-driven Anomaly Detection
Vetter Pharma partnered with Yokogawa to enhance the reliability of ultra-low temperature freezers using AI-based anomaly detection. The solution enabled early identification of potential failures, providing 6–8 hours of advance warning and preventing product loss. This remote-implemented system significantly improved safety and operational efficiency.
Smart Manufacturing (SIRI) Assessment for 5 Manufacturing Plants
Syngenta partnered with Yokogawa to assess and enhance the digital maturity of five manufacturing plants across Asia. Utilizing the SIRI framework, the assessment identified key areas for improvement, leading to a five-year transformation roadmap. This plan supports Syngenta's goals of sustainable agriculture and operational excellence.
Reduce Abnormal Events and Manual Interventions Through DX
Tuas Power Utilities in Singapore needed a solution to mitigate the risk of production disruption due to human errors and equipment failures. Through collaboration and Co-Innovation, Yokogawa was able to help Tuas Power reduce abnormal events and manual interventions during operations by 80%.
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