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Home » Articles » Systems Thinking Improves Reliability and Dependability (15 ways to do it)

by JD Solomon Leave a Comment

Systems Thinking Improves Reliability and Dependability (15 ways to do it)

Systems Thinking Improves Reliability and Dependability (15 ways to do it)

Organizations can systematically enhance reliability and dependability by integrating key approaches into the development, deployment, and maintenance processes of their products and systems. Systems thinking rules! Despite subtle differences in terminology, regular assessments and updates should be conducted to address emerging challenges and technological advancements. This article provides a brief description and demonstration of several key approaches for enhancing reliability and dependability. 

Reliability and Dependability Are Often Used Interchangeably

When it comes to choosing the right word to describe a product or service, the terms “reliability” and “dependability” are often used interchangeably. However, there are subtle differences between the two that can impact how they are perceived in practice and by consumers. 

A Simple Distinction

I distinguish reliability, availability, and dependability for many general audiences, as exemplified by my wife choosing me as her husband. As a spousal partner, she determined that I was reliable— that is, I had a high probability of meeting her desired functions over her lifetime of living in the southeastern United States as a middle-class family. However, if you asked her how available I am, she would probably say, “Somewhat limited. He seems to require a lot of downtime.” Yet if you asked her if I were dependable, her answer would probably be, “Yes, he normally performs quite well when I need him to do so.” 

Reliability refers to the consistency of performance over time. A reliable product or service can be counted on to perform consistently and without fail. Dependability, on the other hand, refers to the trustworthiness of the product or service. A dependable product or service can be relied upon to perform as promised and meet the consumer’s expectations. 

While the two terms are similar, they are not interchangeable. When choosing which term to use, it is important to consider the specific context in which it will be used and the message that you want to convey to your audience. 

Reliability Defined

Reliability refers to the consistency and accuracy of a system or process to perform its intended function under specific conditions. In other words, a reliable system is one that consistently delivers the expected results without failure or errors. 

Reliability is the probability that an item will perform its intended function for a specified interval under stated conditions.

Reliability is often measured in terms of Mean Time Between Failures (MTBF), which is the average time that a system can operate without experiencing failure. A system with a high MTBF is considered more reliable than one with a low MTBF. 

Reliability is essential in many industries, including aviation, healthcare, and manufacturing, where system failures can have severe consequences. 

Dependability Defined

Dependability refers to the ability of a system or process to perform its intended function under varying conditions, including adverse environments and unexpected events. A dependable system can adapt to changing circumstances and continue to deliver the expected results without compromising safety or quality. 

Dependability is the probability that an item will meet its intended function during its mission.

 Dependability is often measured in terms of Mean Time To Repair (MTTR), which is the average time it takes for a system to recover from a failure. A system with a low MTTR is considered more dependable than one with a high MTTR. 

Dependability is crucial in various industries, including transportation, energy, and telecommunications, where system disruptions can have significant economic and social consequences. 

In everyday conversations and professional settings alike, we often hear the words “dependable” and “reliable” used interchangeably. While these adjectives share similarities, implying stability and trustworthiness, they convey subtly distinct qualities when describing people, objects, or services. Understanding these nuances helps us appreciate the traits we value in others and strive for in ourselves. 

Why Dependability Matters Most

15 Ways to Improve Reliability and Dependability

Improving reliability and dependability requires a comprehensive approach that addresses various factors throughout the system’s lifecycle. Here are key approaches:

  1. Robust Design: Start with a well-thought-out and robust design that considers reliability and dependability from the outset of development.
  2. Quality Components: Use high-quality components and materials to ensure the reliability of individual parts, reducing the likelihood of premature failures.
  3. Rigorous Testing: Implement thorough testing during the development phase to identify and rectify potential issues before the product or system is deployed.
  4. Redundancy: Integrate redundancy where critical components have backups, thereby minimizing the impact of failures and enhancing both reliability and dependability.
  5. Predictive Maintenance: Implement predictive maintenance practices that leverage data and analytics to anticipate and address potential issues before they lead to failures.
  6. Continuous Monitoring: Utilize continuous monitoring and real-time feedback mechanisms to detect anomalies, allowing for prompt interventions and maintenance.
  7. Safety Protocols: Implement robust safety protocols and mechanisms to enhance the system’s dependability, ensuring it operates safely under various conditions.
  8. Security Measures: Implement stringent security measures to protect against cyber threats, unauthorized access, and data breaches, enhancing dependability.
  9. Resilience Planning: Develop resilience plans to ensure the system can recover quickly from disruptions, thereby enhancing its overall dependability.
  10. User Training: Provide comprehensive user training and clear documentation to enhance user understanding and minimize errors that could affect reliability.
  11. Regulatory Compliance: Ensure compliance with relevant regulations and industry standards to meet legal requirements and enhance the system’s dependability.
  12. Feedback Loops: Establish effective feedback loops from users and maintenance teams to identify and address issues promptly, contributing to ongoing improvements.
  13. Adaptability: Design systems to be adaptable to changing conditions or requirements, enhancing both reliability and dependability over time.
  14. Lifecycle Management: Implement effective lifecycle management practices, considering maintenance, upgrades, and eventual retirement or replacement to ensure continued reliability.
  15. Culture of Dependability: Foster a culture within the organization that prioritizes and values dependability, instilling a mindset of continuous improvement and attention to detail. 

Reliability and Dependability In Practice

In New Orleans, for example, critical aspects of regional system reliability and dependability are determining appropriate operating capacities for infrastructure constructed below sea level over more than 100 years. Typically straightforward engineering aspects, such as assigning individual pumping capacities, can be challenging. For scenario analysis, the pumping capacities were grouped into three areas: rated (which includes design or permitted), minimum, and sustainable operating capacities. The system was not particularly reliable or dependable under the “sustained operating capacities” scenario. 

I worked intensively at Tampa Bay Water for over a decade, helping the agency launch its asset management program and integrate reliability, risk, and operational resilience. Their system defines what it means to be both complex (consisting of many parts) and complicated (difficult). The system underscores the dynamic nature of reliability (it goes on forever). 

Case Example

The City of New Orleans and Tampa Bay Water highlight the differences between an old system and a relatively new one. Context matters in most things, and especially when evaluating reliability and dependability. Context also matters when selecting approaches to improve reliability and dependability. 

Improving Reliability and Dependability

Organizations can systematically enhance reliability and dependability by integrating key approaches. Systems thinking is the foundation of effective facility and infrastructure performance. Properly evaluating reliability and dependability helps resolve issues related to risk, safety, quality, compliance, and human performance. Regular assessments and updates should be conducted to address emerging challenges and keep pace with technological advancements. Is your system reliable? Is it dependable?


This article first appeared on www.jdsolomonsolutions.com. Many aspects of this article were taken from the Communicating to Decision Makers, 2nd Edition.

Filed Under: Articles, Communicating with FINESSE, on Systems Thinking

About JD Solomon

JD Solomon, PE, CRE, CMRP provides facilitation, business case evaluation, root cause analysis, and risk management. His roles as a senior leader in two Fortune 500 companies, as a town manager, and as chairman of a state regulatory board provide him with a first-hand perspective of how senior decision-makers think. His technical expertise in systems engineering and risk & uncertainty analysis using Monte Carlo simulation provides him practical perspectives on the strengths and limitations of advanced technical approaches.  In practice, JD works with front-line staff and executive leaders to create workable solutions for facilities, infrastructure, and business processes.

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