Enhanced Composable Asset Operations Management

Benefits in Achieving Reduction of Downtime, Optimizing Maintenance Activities and Improving Operational Efficiency

Yokogawa's enhanced Asset Operations Management solutions offer several key benefits. These percentages mentioned are for reference and depends on maturity of the underlying IT/OT/ET systems with which AOM integrates to collect and analyze the data. The more data is contextualized, the more accuracy of the predictive and prescriptive actions and higher the chances of the below metrics.

Key Features that Unify Operations, Engineering, Maintenance, and Reliability Across All Levels to Drive Operational Excellence, Productivity, Profitability, and Sustainability.

Yokogawa's enhanced Asset Operations Management solutions can incorporate a variety of key features to enhance asset performance and maximize return on investment. The key features of AOM include: 

• Business Performance: Enables organizations to track and analyze key performance indicators (KPIs) and metrics essential for strategic decision-making. With real-time insights and customizable dashboards, companies can monitor growth trends, detect anomalies, and identify areas for improvement.
• Productivity Optimization:  Streamline production planning, enhance scheduling accuracy, and improve Overall Equipment Effectiveness (OEE). By automating repetitive tasks and synchronizing workflows, companies can reduce downtime and maximize resource utilization. This results in faster production cycles and improved product delivery timelines.
• Operational Efficiency: Achieved through agentic workflows, which automate task assignments and optimize resource allocation. Event intelligence features monitor real-time events, allowing teams to respond proactively to issues before they escalate. Predictive analytics analyze patterns to foresee potential disruptions, minimizing downtime and improving resilience.
• Process Optimization: Focuses on refining workflows through automation and machine learning, enabling progress toward industrial autonomy. Real-time process monitoring highlights areas for improvement and ensures continuous optimization. By implementing adaptive algorithms, companies can adjust to changing conditions autonomously.
• Cost Optimization: Focuses on identifying and eliminating waste while maintaining productivity and quality. Data analytics pinpoint areas where costs can be minimized, such as energy consumption, labor, and material usage. By monitoring and adjusting operational spending, companies can achieve leaner processes and lower operating costs.
• Asset Performance: Ensures equipment reliability and optimal maintenance through predictive analytics. Condition-based monitoring predicts equipment failures, allowing maintenance teams to address issues proactively. By shifting from reactive to preventive maintenance, companies can reduce downtime and extend asset life.
• Energy Efficiency: Focuses on monitoring and reducing energy consumption across operations to minimize environmental impact and costs. Through condition monitoring, equipment can be maintained at optimal levels, preventing unnecessary energy usage. Integrating renewable energy sources and optimizing energy distribution also contribute to greener operations. This feature aligns with corporate sustainability goals and helps reduce operational expenses.
• Safety Assurance: Achieved by maintaining high safety standards by monitoring workplace conditions and enforcing compliance with safety protocols. Real-time alerts for safety hazards allow for quick responses, reducing the risk of incidents. Predictive analytics anticipate potential safety issues, enabling proactive measures to ensure employee and asset safety.
• Sustainability: Help reduce emissions, optimize resource use, and integrate renewable energy sources into operations. Emission tracking and reporting provide insights into environmental impact and identify areas for reduction. Sustainability analytics enable companies to set and track green targets, aligning with environmental goals and regulations. This approach not only supports compliance but also enhances brand reputation and long-term resilience.
• Compliance: Ensure adherence to industry regulations, standards, and company policies by monitoring and auditing processes. Real-time tracking of compliance metrics helps detect and address non-compliance before it escalates. Companies can easily update protocols and ensure that safety, quality, and environmental standards are consistently met. This feature safeguards organizations from legal risks and enhances trust with stakeholders.

How AOM Solutions are Built in 3 Easy Steps

Building Asset Operations Management (AOM) solution with Composable Cognitive Digital Twins (CCDTs) focuses on a three-step approach in creating event-driven applications that enable real-time data integration, visualization, and prescriptive actions.

1. The first step involves integrating data sources and building data streams. AOM’s Data Stream Designer (DS) is used to consolidate and clean data from OEM, process monitoring, and machine health sources, and then apply analytics to detect key events. This step establishes a robust data foundation that feeds directly into subsequent stages.
2. The second step is designing real-time visualizations to support situational awareness. Using AOM’s Event Board/App Designer (AD), users create visual dashboards that display asset status, KPIs, and event boards in real time. These visualizations make it easy to monitor operational health, access relevant recommendations, and track self-validating KPIs, ensuring stakeholders have a comprehensive, intuitive view of asset performance.
3. Finally, the third step is the creation of prescriptive recommendations that automate responses to critical events. The Recommendations Module (RM) helps set rules and thresholds that trigger alerts and provide operators with actionable instructions for mitigating issues. This setup allows for proactive management, enhancing operational responsiveness and reliability.

Together, these three steps create a cohesive AOM solution that integrates data, delivers real-time insights, and supports automated decision-making to optimize asset operations.

Value Driven and ROI Oriented