System reliability is not simply the sum of individual asset performance, it is the result of how those assets interact, how information flows between them, and how quickly risks can be identified and mitigated.

Reliability has long been treated as something that is achieved, measured after commissioning, optimized through maintenance, and often recovered only after failure. But the industries that are outperforming today, whether in power generation, oil and gas, or data centers, are shifting toward a more fundamental premise: reliability is not something you chase; it is something you design in from the very beginning. This is the essence of Reliability by Design (RED).

Reliability by Design is not only an engineering discipline. It is a sustainability strategy that reduces energy waste, extends asset life, and minimizes environmental impact at scale. At its core, RED reframes reliability from a downstream activity into a strategic, upstream discipline. It connects engineering, operations, and maintenance into a single continuum, where decisions made at the design stage determine not only how assets perform, but how safely, efficiently, and sustainably they can be operated over their entire lifecycle. When combined with Designing for Safety and Reliability (DFSR) and Operator Driven Safety and Reliability (ODSR), RED becomes more than a philosophy, it becomes a fully integrated operating model.

Designing Reliability into the Asset

Traditional engineering design has often prioritized capital cost, footprint, and performance specifications. Reliability, while acknowledged, is frequently treated as a secondary outcome, validated through testing, supported through maintenance, and corrected through redesign when things go wrong.

DFSR challenges this paradigm by embedding reliability and safety directly into the design intent. It asks a different set of questions:

• Can this asset be inspected safely while energized?
• Are failure modes visible, detectable, and predictable?
• Is access designed for the operator, not just the installer?
• Does the system enable condition based maintenance rather than reactive intervention?

When these questions are answered at the design stage, the impact on asset reliability is profound. Equipment is no longer a “black box” that requires invasive intervention. Instead, it becomes a transparent, accessible system where condition monitoring is built into the architecture.

Take electrical distribution systems as an example. A conventional design may require panels to be opened for inspection, introducing both safety risk and operational disruption. A DFSR-led design incorporates permanent inspection infrastructure, infrared windows, ultrasound ports, continuous monitoring sensors, allowing operators to assess asset condition without exposure to energized components. The result is not only improved safety but a dramatic increase in inspection frequency and data quality, which directly enhances reliability outcomes.

In this sense, DFSR does not just improve the asset, it changes the relationship between the asset and the people responsible for it.

From Asset Reliability to System Reliability

While DFSR focuses on the individual asset, RED extends its influence on the entire system. This is where many organizations underestimate the true value of design-led reliability.

Assets do not fail in isolation. They exist within interconnected systems where a single point of failure can cascade into widespread disruption. System reliability, therefore, is not simply the sum of individual asset performance, it is the result of how those assets interact, how information flows between them, and how quickly risks can be identified and mitigated.

RED adresses this by designing for:

• Visibility across the system: Ensuring that condition data is accessible, consistent, and actionable
• Standardization of inspection methods: Enabling repetability and comparability across assets
• Integration of monitoring technologies: Alloeing multiple condition-based techniques (infrared, ultrasound, vibration, partial discharge, IoT) to work together
• Operator accessibility: Ensuring that systems are not only technically sound but operationally usable

When these principles are applied, the system evolves from a collection of assets into a coherent, self-aware network. Failures become less frequent, less severe, and, critically, less surprising.

This is where the transition from DFSR to ODSR becomes essential.

The Role of ODSR in Sustaining Reliablity

If DFSR defines how reliability is built into the system, ODSR defines how it is sustained. Operator Driven Safety and Reliability recognizes that the people closest to the assets, the operators, are also the most powerful drivers of reliability. However, this potential is only realized when systems are designed to support them.

ODSR is not about adding more responsibility to already stretched teams. It is about enabling operators to act with confidence, supported by infrastructure that makes safe, frequent, and meaningful inspection possible.

In a RED environment, operators are no longer passive observers or reactive responders. They become active participants in reliability, equipped with:

• Trained, equipped and task qualified to inspect assets
• Safe access points for inspection without exposing themselves to risk
• Simple, repeatable inspection routes supported by digital tools
• Real-time or near-real-time condition data
• Clear thresholds and indicators for intervention

This shift has a multiplier effect on both asset and system reliability.

From an asset perspective, increased inspection frequency leads to earlier fault detection. Minor issues are identified before they escalate into major failures. Maintenance becomes planned rather than reactive, reducing both cost and disruption.

From a system perspective, the continuous flow of condition data enables better decision-making. Patterns emerge. Systemic issues are identified. Resources are allocated more effectively. Reliability becomes predictable rather than probabilistic.

Reliability, Safety, and Sustainability: A Converging Outcome

One of the most powerful aspects of RED, particularly when integrated with DFSR and ODSR, is its ability to align reliability with safety and sustainability.

Historically, these objectives have been treated as competing priorities. Improving safety might increase costs. Enhancing reliability might require additional resources. Reducing environmental impact might constrain operational flexibility.

RED dissolves these trade-offs.

By designing systems that can be inspected and maintained without exposure to risk, safety is inherently improved. By enabling condition-based maintenance, reliability is enhanced while unnecessary interventions are reduced. And by ensuring that assets operate within optimal parameters, energy efficiency is improved, directly reducing greenhouse gas emissions.

Consider the impact of early fault detection in an electrical system. A loose connection, if left undetected, can lead to overheating, energy loss, and eventual failure. Through a RED approach, that condition is identified early through non-invasive inspection. The issue is corrected before it escalates, avoiding not only downtime but also unnecessary energy consumption and associated emissions.

Multiply this across an entire facility, or across a global asset base, and the sustainability impact becomes significant.

The Economic Case for RED

While the strategic and operational benefits of RED are compelling, its adoption ultimately depends on economic justification. Here, too, RED presents a strong case.

The traditional cost model for reliability is reactive: failures occur, costs are incurred, and improvements are made incrementally. RED shifts this model to a proactive investment framework.

Upfront design decisions are typically very affordable, requiring modest additional investment, integrating inspection infrastructure, standardizing access, and embedding monitoring capabilities. However, these costs are rapidly offset by:

• Reduced downtime and production losses
• Lower maintenance costs through condition-based strategies
• Extended asset life
• Reduced safety incidents and associated liabilities
• Improved energy efficiency and lower operating costs

When viewed through the lens of Return on Safety (ROS), Return on Culture (ROC), and traditional ROI, RED consistently delivers strong financial performance.

More importantly, it creates a platform for continuous improvement. As systems generate more data and operators become more engaged, the organization’s capability to manage reliability continues to grow.

From Philosophy to Practice

The transition to RED is not a single project, it is a transformation. It requires alignment across engineering, operations, maintenance, and leadership. It requires a shift in mindset from “fixing problems” to “designing them out.”

DFSR provides the framework for embedding reliability into new and existing assets. ODSR ensures that this reliability is sustained and enhanced through daily operations. Together, they form the foundation of RED.

Organizations that embrace this approach are not just improving reliability, they are redefining it.

They move from reactive to predictive. From isolated assets to integrated systems. From compliance-driven safety to safety by design. From cost management to value creation.

Conclusion

Reliability by Design represents a fundamental evolution in how we think about assets and systems. It recognizes that the seeds of reliability, or unreliability, are sown long before an asset is commissioned. By integrating DFSR and ODSR into a unified RED strategy, organizations can ensure that those seeds grow into systems that are safe, reliable, and sustainable by design, reducing energy loss, extending asset life, and minimizing environmental impact across the asset lifecycle.

In a world where operational resilience, environmental responsibility, and economic performance are increasingly interconnected, this is not just a competitive advantage, it is a necessity.

The future of reliability will not be measured by how quickly we respond to failure, but by how effectively we prevent it. RED shows us how to get there.