Industrial efficiency is often measured through production rates, operating costs, or energy consumption. But behind each of these metrics is one common factor: asset reliability. When critical equipment does not perform as expected, the impact extends beyond maintenance. That’s why it’s vital for organizations to shift their focus from simply maintaining assets to understanding how they perform throughout their operating life.
In this blog, we’ll explore how reliability engineering services support industrial efficiency and the role digital technologies play in enabling more reliable operations.
Asset Reliability Has Become a Business Priority
In asset-intensive industries such as petrochemicals, energy, oil and gas, and chemicals, organizations rely heavily on critical equipment including heat exchangers, compressors, and furnaces. When one asset underperforms or breaks down unexpectedly, the impact is rarely limited to that equipment alone. It can have a direct impact on other processes and lead to:
- Reduced throughput
- Higher energy consumption
- Unexpected downtime
- Increased operational costs
- Disruptions across the plant.
- Inconsistent production
Over time, these inefficiencies can also influence maintenance planning, equipment availability, and even plant safety.
Turning Asset Data into Better Operational Decisions
Industrial plants generate a constant stream of operational data. From temperature and pressure to flow rates and equipment performance, the information is already available. Rather than viewing each dataset in isolation, asset performance management (APM) combines them to provide a clearer picture of equipment performance.
Additionally, applied AI solutions help continuously monitor asset performance, detect impending equipment issues, perform root cause analysis (RCA), and predict time to failure. It prioritizes maintenance based on the actual condition of the equipment rather than relying solely on fixed maintenance schedules. This, in turn, expedites analysis towards searching for the root cause of inefficiencies and reveals opportunities for performance improvement across different processes.
As one of the trusted asset performance management consultants, Ingenero combines operational data, applied AI, and engineering expertise to provide advanced reliability solutions that help operators make better day-to-day decisions.
Improving Asset Reliability Across Industrial Operations
Different industrial assets experience different reliability challenges. Numerous IIoT (Industrial Internet of Things) and applied AI solutions are already improving asset reliability across sectors. These solutions can be applied at a single unit or across multiple plant operations to provide a comprehensive overview of equipment health and performance. Key features of Ingenero’s APM Solution:
- Reliability Starts with Understanding Equipment Health
Heat exchangers are a key asset in the process industries, facilitating heat exchange between fluids. With the increasing focus on sustainability, optimal performance of exchangers is even more crucial.
However, heat exchangers gradually lose efficiency due to:
- Fouling
- Corrosion
- Operational inefficiencies
These issues may not immediately interrupt production, but often increase energy consumption and reduce overall process efficiency. Because these changes often develop gradually, they can be difficult to identify through routine monitoring alone.
To address this, Ingenero’s HMS-X solution combines IIoT, operational data, and reliability engineering services to continuously monitor exchanger data, including real-time pressure, flow rates, and temperatures. We also utilize predictive models to account for all possible scenarios. This allows operators to optimize equipment performance, improve maintenance planning, and extend asset life while maintaining reliable plant operations.
- Improving Operational Continuity
Compressors are among the most critical rotating assets in industries ranging from oil & gas, petrochemicals,to manufacturing. Their performance directly influences production capacity, energy efficiency, and process stability.
Its reliability can be compromised due to:
- Wear and tear
- Fluctuating demand
- Suboptimal operation conditions
Ingenero’s HMC-C solution uses AI and machine learning (ML) models trained on historical and real-time operational data to monitor compressor health continuously. Backed by an experienced asset performance management consultants approach, our solution monitors key parameters such as vibration patterns, discharge pressure, and energy consumption to mitigate potential issues. This proactive approach helps improve equipment availability, reduce maintenance costs, and support uninterrupted production.
- Maximizing Energy Efficiency
Industrial furnaces also play a vital role in process-intensive industries where consistent thermal performance is essential for production efficiency. Over time, furnaces can be damaged due to:
- Severe thermal stress
- Corrosion
- Poor airflow
- Lack of maintenance
Damaged furnaces can increase fuel consumption, shorten operating cycles, and reduce overall process efficiency if left unchecked.
Ingenero’s HMS-F solution employs the latest ML and AI analytical models to monitor and track furnace health in real-time and detect performance degradation. For example, the solution analyzes operational data to identify early signs of coke formation during thermal cracking and tracks its impact on furnace performance. By setting threshold limits for end-of-run conditions and notifying operators, the solution leads to better scheduling, improved efficiency, and extended furnace run lengths.
Beyond Monitoring: Building Long-Term Reliability
These reliability solutions help organizations move from isolated equipment monitoring toward a more proactive approach to operational performance. By combining applied AI and reliability engineering solutions, Ingenero empowers organizations to detect failures early, improve safety and sustainability metrics, and increase ROI (Return on Investment).
For instance, a petrochemical facility in the Middle East was facing reliability issues, including lower furnace run-length relative to design and lower yield. To help them achieve operational excellence, our team at Ingenero utilized data analytics and fundamental modeling techniques to track and provide timely recommendations. The result?
- Annual savings of ~US$ 20 Million
- Ethylene yield increased from ~77% to ~80%
- Improvement in furnace run-lengths from ~50 to 90 days
Conclusion
For several industries, reliability is no longer just another maintenance metric. It is closely linked with the overall productivity, operational efficiency, resource utilization, and long-term profitability of the business. Even small performance deviations can plausibly affect the wider process. This is where collaboration with experienced asset performance management consultants like Ingenero becomes increasingly valuable.
With applied AI and purpose-built reliability solutions, Ingenero helps industries improve asset performance, reduce operational inefficiencies, and build more reliable operations for the future.
FAQ’s
1. What is asset performance management?
Asset Performance Management (APM) is a comprehensive approach that combines reliability engineering services and advanced digital technologies such as real-time analysis systems or AI and machine learning models to monitor and optimize equipment health. It is vital for asset-intensive industries such as petrochemicals, refinery, oil and gas, and chemical, amongst others.
2. How do reliability engineering services improve industrial efficiency?
By adopting reliability engineering services, organizations can identify and mitigate process risks or equipment failure, maximize safety and return on investment, and minimize unplanned downtime, thus enhancing operational efficiency and sustainable growth.
3. How can APM improve heat exchanger performance?
APM can improve heat exchanger performance by continuously monitoring exchanger data, including real-time pressure, flow rates, and temperatures. This enables operators to optimize equipment performance, improve maintenance planning, and extend asset life while maintaining reliable plant operations.
4. What are the business benefits of implementing an APM solution?
By enhancing real-time visibility of assets, APM solutions help businesses optimize resource allocation, reduce energy consumption and operational costs. Businesses can also avoid huge losses by preventing costly system outages or unexpected equipment failures.
5. How does Ingenero support industrial asset reliability?
Ingenero combines applied AI, operational data, and engineering expertise to support asset reliability. We provide comprehensive solutions such as HMS-X, HMC-C, and HMS-F to optimize equipment performance and operational efficiency across industries.