Your Reliability Engineering Professional Development Site
Find all articles across all article series listed in reverse chronological order.
In part 1 of this 2 part series, “Maintenance and Reliability Maturity”, I point out that achieving the maximum value from your physical assets will require excellence in 2 main dimensions, efficiency, and effectiveness. Those are described more fully in our recent book, “Paying Your Way“. I also promised a Maintenance and Reliability Maturity Assessment tool. That tool is now available to you, our readers.
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What can we do without reliability function estimates? FMEA? FTA? RCA? RCM? Argue about MTBFs and availability? Weibull? Keep a low profile? Run Admirals’ tests? Look for a new, well-funded project far from the deliverable stage?
Ask for field data; there should be enough to estimate reliability and make reliability-based decisions, even if some data are missing. Field data might even be population data!
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Effective use of data to drive decision making requires adequate measurement systems. For example, when implementing statistical process control charts, we assume that a signal represents a significant change in the process and we react as such. However, inadequate measurement systems may result in inappropriate signals or even worse, charts that fail to detect important process changes. Thus, it is incumbent upon us to ensure that measurement systems are adequate for their intended use via proper assessments prior to their use. Only capable measurement systems should be utilized in data based methods such as Statistical Process Control, Design of Experiments, Inspection activities, etc. [Read more…]
Through daily inspections, cleaning, and lubrication practices we can measure, prevent, and restore deterioration to our equipment. The expectation is that a team is put together made up of maintenance, operations, and leadership employees to roll out strategy beginning with one piece of equipment. They will implement the following 7 steps:
Lets start with a fresher on general Component Fatigue.
I’ve seen it twice this year and it concerns me. In twenty years of working with companies to improve manufacturing reliability I would like to believe that those of us who care are leaving a mark. It’s the days I’m about to describe that make you wonder.
I created RCM Blitz™ over twenty years ago as a tool that would help companies identify a complete maintenance strategy to improve and achieve the inherent designed reliability of their critical assets. Prior to entering the world of consulting, I had completed and implemented several RCM (Reliability Centered Maintenance) analyses on critical assets at Eastman Kodak company. With each analysis we completed, I gained knowledge and confidence that the process when adhered to and implemented, could improve the reliability of even our worst assets. In the same two years of proving the process I also learned something very important.
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As a maintenance professional, you spend a lot of time explaining how a proper maintenance & reliability program will improve uptime, safety, etc. But why is it that there is a hard time gaining support for the improvement initiatives? Well, senior executives are focused on how the company is being a measure of performance from the shareholders, financial analysts, or owners. Most of these measures are financial in nature, and while there are others, the primary measures are financial. [Read more…]
It’s no secret that equipment maintenance software offers many benefits to your organization. However, organizations frequently find that the software doesn’t deliver the end results they anticipated. This often happens because organizations don’t maximize CMMS potential. In other words—they’re not using their software to its fullest potential.
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Effective execution is a matter of dealing with scarcity: a scarcity of time, a scarcity of resources, and scarcity of information (although too much information can also cause problems). Tools like a risk assessment help manage this scarcity by prioritizing things to allow you to better allocate resources on what’s most important.
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Maintenance and reliability maturity provides an understanding of both how well we do maintenance and how good is our maintenance program. One delivers a major business result, the other is a big part of how you get there. Doing maintenance with precision and care, so the job is done once and done well by the right people and without delay is what maintenance organizations strive for. Some achieve it, some struggle to do so. If they can achieve that, then they are being efficient.
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(This is chapter 5 of User Manual for Credible Reliability Prediction – Field Reliability (google.com), cleaned up and typeset for AccendoReliaiblity Weekly Update.)
The nonparametric maximum likelihood estimator for an M/G/∞ self-service time distribution function G(t) extends to nonstationary, time-dependent, Poisson arrival process M(t)/G/∞ systems, under a condition. A linearly increasing Poisson rate function satisfies the condition. The estimator of 1-G(t) is a reliability function estimate, from population ships and returns data required by generally accepted accounting principles.
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More companies are leveraging high speed vision systems to inspect multiple quality characteristics on their products.
For example, in a high volume baking operation, a vision system can test for bun height, bun length, slice thickness, topping distribution, surface color, and more. This happens automatically on the line at high speeds. In bottling or other plastic manufacturing, a vision system may inspect multiple dimensions and surface properties. [Read more…]
Cleaning is an important first step in Operator Care and reliability gains because:
Dirt in rotating parts, sliding parts, pneumatic and hydraulic systems, electrical and control systems, sensors, etc. causes malfunctions, reduce function, failure by wear, clogging, resistance, speed losses, etc. are different types of defects. Defects are anything that is abnormal from the expected ideal condition. Insufficient cleaning causes forced deterioration. All these losses are solved through a thorough cleaning of equipment and countermeasures to keep the equipment clean.
[Read more…]Analysis of the Storm Packer (SP) failure in Article 1 will be complicated. Some stakeholders will assume that the SP was defective, some will assume the drilling crew made mistakes, and others will assume that wellbore conditions predisposed the SP to fail. Any of these may explain the failure of the first SP, but only rigorous due diligence will uncover the root cause(s). What should be investigated, and what will be the roadmap for the analysis? [Read more…]
Let’s start off with some honesty…the term ‘RCA’ (Root Cause Analysis) is quite vague, misleading and easily misinterpreted by those who are not immersed in its use. It is a useless and counter-productive term because there is no universally accepted, standard definition. Therefore, any process/tool someone is using to solve a problem is likely to be labelled as ‘RCA’. It could be troubleshooting, brainstorming and/or some other more structured problem solving approaches such as 5-Whys, fishbone diagrams, causal factor trees and/or logic trees.
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