Accendo Reliability

Your Reliability Engineering Professional Development Site

All articles listed in reverse chronological order.

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A Note on Estimation of a Service-Time Distribution Function

A Note on Estimation of a Service-Time Distribution Function

Imagine observing inputs and outputs of a self-service system, without individual service times. How would you estimate the distribution of service time without following individuals from input to output? The maximum likelihood estimator for an M/G/Infinity self-service-time distribution function from ships and returns counts works for nonstationary arrival process M(t)/G/Infinity self-service systems, under a condition. A constant or linearly increasing arrival (ships) rate satisfies the condition. If you identify outputs by failure mode then you could estimate reliability by failure mode or quantify reliability growth, without life data. [Read more…]

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Self-Leadership Part 1

Self-Leadership Part 1

Let’s do a quick recap of where we’ve come from. First we had to figure out where you are on your journey to success, in a totally honest way, which we covered in the chapter of Self-Awareness.

Next we had learned how to hold ourselves accountable for what got us to where we are today. We discussed how to create a personal development plan to map out our different responsibilities in life, what those mean in specific, day-to-day terms, and how to monitor and measure our success on aiming for and achieving those goals.

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How Reliability Engineers Can Improve Their Communication in Information Sessions

How Reliability Engineers Can Improve Their Communication in Information Sessions

There was a lot to unpack from the 45-minute information session. After all, three different governmental units evaluated the issue for over three years. We had not had a debriefing on the issue in a year. And the issue was an emerging one, ripe with complexity and uncertainty. Effective communication can be difficult in these types of information sessions.

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How to Structure Your ERM System

How to Structure Your ERM System

Guest Post by Patrick Ow (first posted on CERM ® RISK INSIGHTS – reposted here with permission)

Andy Benoit once said, “Most geniuses — especially those who lead others — prosper not by deconstructing intricate complexities but by exploiting unrecognized simplicities.”

This statement is so true when corporate leaders and managers tend to over-complicate processes or over-engineer systems in organizations. Designing and implementing your organization’s enterprise-wide risk management system is no exception.

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What is Six Sigma and How is it Used in Quality Engineering?

What is Six Sigma and How is it Used in Quality Engineering?

Another of the most commonly asked questions about quality engineering is “What is Six Sigma and how is it used in quality engineering?”

Six Sigma is a data-driven approach to continuous improvement that aims to reduce defects and variability in products, processes, and systems. It is based on the idea that by identifying and addressing the root causes of defects and variability, organizations can significantly improve the quality of their products and processes. Six Sigma is used to identify and eliminate defects and variability by collecting and analyzing data, identifying patterns and trends, and implementing process improvements.

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Why Total Productive Maintenance Is The Answer To Reliability-Centered Culture

Why Total Productive Maintenance Is The Answer To Reliability-Centered Culture

Despite their shared emphasis on maintenance, Total Productive Maintenance (TPM) and Reliability Centered Maintenance (RCM) are not competing strategies.

Manufacturers can create a powerful synergy to leverage the strengths of each if they understand their respective strengths. Such a combination leads to exceptional reliability, cost-effective maintenance, and improved corporate culture – if implemented successfully. [Read more…]

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17 Powerful Insights on Effective Communication Using FINESSE

17 Powerful Insights on Effective Communication Using FINESSE

There are a lot of keen insights in the 2022 FINESSE guest articles for improving communication skills. Looking back on this bold collection reminds me that much good work, and systems thinking, is still needed for as we move into the future.

Effective Communication is a System

Is there a single theme that we can gain from the 2022 guest articles that makes it easier to communicate information related to work-related decisions with complexity and uncertainty? Is there one thing we can do to be an effective trusted advisor? The answer to both is “not really.” [Read more…]

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Risk is Round

Risk is Round

Guest Post by Malcolm Peart (first posted on CERM ® RISK INSIGHTS – reposted here with permission)

Are project risks round?  Curved objects can be less controllable than planar ones as they pitch, roll and yaw; and the tighter their curves the more difficult control becomes.  Even a truly planar surface is, geometrically, a curve but with an infinite radius.  The Earth’s horizon, that imaginary plane perpendicular to its radius is considered by some to be ‘flat’ but in reality it’s a sphere so we can never see over the horizon.  But what has this got to do with project risk?

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Why Isn’t It Working Like You Said?

Why Isn’t It Working Like You Said?

Nonparametric, age-specific field reliability estimates helped deal with a Customer’s bad experience using a Hewlett-Packard part in the Customer’s product: 110 part failures out of 3001 shipped in the first five months. Comparison of HP population vs. Customer reliability estimates showed the Customer’s infant mortality was not typical. Using population ships and failures or returns data eliminated sample uncertainty from the HP population field reliability estimate.

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A Proposed Classification For Reactive Chemicals

A Proposed Classification For Reactive Chemicals

The reactivity of a chemical or a mixture is normally assessed by thermal analysis. Thus the thermal analysis data forms the basis of risk mitigation decisions. What does the thermal analysis data tell us and how to base risk mitigation decisions? How to tell which compositions are more reactive and should be scrutinized closely?

Missing from the current body of knowledge is a simple classification to help rank compositions in order of their reactivity.

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