As their capabilities show, APM and EAM are two different solutions or approaches with some commonalities. In fact, in an industrial set up, these solutions work in conjunction to bring complementary capabilities for optimizing an organization’s asset investments.
Integration between EAM and APM is crucial: A seamless transfer/integration of data that exists in EAM and APM is crucial to get the best out of these two systems. This is facilitated by EAM-specific interfaces and other tools. For instance, EAM data (on equipment, equipment locations, equipment failures, work history, etc.) can be transferred to GE Vernova’s APM system and subsequently processed and analyzed to determine the equipment state and locations, reliability, trends, potential risks, and probability of failures. EAM-specific interfaces for SAP, IBM, and Oracle are available to facilitate the process of transferring data between EAM system and GE’s APM system. Further, alternative EAM integration options are also available through APM Connect.
Let’s try to understand how these two systems work together to support asset management and performance optimization goals using below workflow:
Identifying critical assets, risks, and mitigation actions
- The very first step for an organization is to identify the assets which are critical for business operations. An APM solution could help to perform an Asset Criticality Analysis to identify the highest risk assets and systems based on their consequence of failure. This helps prioritize operations and maintenance expenditures by driving the appropriate asset strategies based on asset criticality.
- Identify risks and most effective mitigation actions for each of these assets using risk-based methodologies in APM such as Reliability Centered Maintenance (RCM) and Failure Mode & Effect Analysis (FMEA). This interactive demo shows how you can efficiently perform risk assessments for failure modes.
Defining and executing strategy
- Define asset strategy for monitoring, maintenance, and risk mitigation. This usually requires employing a combination of condition monitoring, inspections, engineering modifications, compliance actions and more approaches
- Execute strategy based on data and analytical capabilities available in APM and pulling in needed data/information from connected systems such as EAM which includes useful data like maintenance plans, work history, work schedules, etc.
- Initiate ongoing asset health monitoring and analysis – may use a combination of automated and manual data, processes, and approaches from different systems, including condition data, predictive analytics, maintenance and other data from EAM, process data from historians, and more.
Alerts, insights, and analytics
- Receive alerts around any real-time asset health issues and/or predicted asset failures.
- Different types of analysis available in APM (like Root Cause Analysis, Reliability Analysis, and others) could help to understand reason for alerts and underlying asset issues.
- Conduct deeper analysis combining EAM data including work history, previous recommendations and more, to address issues.
Execution and continuous improvement
- After identifying the issue(s), create recommendations in APM to address such issues in future. These recommendations in APM could automatically create and schedule work orders in EAM.
- Execute work based on recommendations and update asset strategy in APM if needed.
- Thus, APM and EAM work closely to drive a continuous improvement loop for asset management and performance.