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Find all articles across all article series listed in reverse chronological order.
Defining a proper product reliability goal is a critical step in ensuring that a product meets customer expectations and performs adequately throughout its intended lifespan. This also involves a careful balance between the required level of reliability and the associated costs and complexities of achieving that reliability.
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Charting historic equipment failure events visually shows the Failure Probability Density Function curve for that equipment. It is also known as a Failure Density Distribution Curve.
Failure Probability Density Function curves, Failure Density Distribution Curves contain useful information about what has happened to equipment. These curves illustrate the chance of failure of an equipment over a period. Here, our fixed variables are the equipment’s components’ material-of-construction and design. As such, the only changing variable is the operating and maintenance strategies, including work processes, used by the company.
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If your business is going to survive, you must be able to read and react to changes in your markets and continuously improve your competitive position. It’s more important now than it’s ever been.
SWOT is a model often employed to characterize a company’s competitive position in terms of Strengths, Weaknesses, Opportunities and Threats. If a competitor creates a new offering that you can’t match, that’s a weakness. If you have one that they can’t match, it’s a strength.
[Read more…]Dear friends, we are glad to release this interesting video. In this video, Hemant Urdhwareshe explains procedure for probability plotting of failure data in Exponential Distribution using Excel. Hemant is a Fellow of ASQ and is certified as CRE, Six Sigma Master Black Belt, CQE and CMQ/OE by ASQ.
[Read more…]In today’s video, I’m at Lover’s Leap in Chattanooga, Tennessee, exploring how to build an effective Reliability Culture using Reliability Centered Maintenance (RCM). A common challenge in many organizations is the disconnect between teams — Maintenance, Operations, and upper management aren’t always on the same page, which can lead to costly downtime, safety issues, and inefficiencies.
But there’s hope. By adopting a Facilitated working group approach to RCM, you can bring your teams together with a shared goal — good Reliability. In this video, I share how RCM can foster understanding amongst team members, break down silos, and create an effective Reliability Culture that leads to better performance and a solid Return on Investment (ROI).
Key Points Covered:
Watch the full video to see how RCM can help transform your organization over time.
[Read more…]Good fortune is what happens when opportunity meets with planning Thomas Edison
In this article, I will outline how to evaluate an FMEA Plan against the FMEA Quality Objective for FMEA Plans.
Gage repeatability and reproducibility (GR&R) is a statistical tool used in quality control to assess a measurement system’s capability. It evaluates the amount of variation in the measurement data that is due to the measurement system itself rather than the product being measured. GR&R helps to determine if a measurement system is reliable and whether it’s producing repeatable and reproducible measurements.
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Now for something completely different. Roaming the net looking for an interesting advertisement or data sheet with a ‘great’ (i.e. bad) example of the mis use of MTBF, ran across that MTBF is actually being used by at least one government for department budgeting.
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You probably have a computerized system for managing maintenance. It might be part of your integrated management software, like Oracle, or SAP. The business cases for initial purchase of these systems often include forecast cost savings of 20% or more. Most of the time, they fall far short of that. In fact, the costs of the new system, its implementation, the staff required to support and run it, the training needed for users, can easily grow bigger than the costs you had before the system was implemented.
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Reliability Centred Maintenance (RCM) was developed by the aircraft industry and it has now migrated into industries across the world. The aircraft industry does RCM differently to other industries. RCM fails in general industry because inherent problems in the business design of most organisations are prevented in the airline industry with business processes imposed by legal regulation. Using the RCM methodology does not instil the business disciplines needed for RCM to deliver its benefits.
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According to the definition in ISO 31000, risk is the impact of uncertainty on [achieving] your objectives. Of course, this impact can be both negative or positive. ISO 31000 states the following:
“Clause 6.4.2 Risk identification: The organisation should identify risks, whether or not their sources are under its control.
Clause 6.4.3 Risk analysis: The effectiveness of existing controls.”
[Read more…]One of the most persistent points of confusion in quality engineering is the difference between traditional statistical process capability analysis and the Six Sigma approach. Specifically, why does Six Sigma define a “six sigma” process as having 3.4 defective parts per million (DPPM), when a straightforward application of statistical tables suggests that six standard deviations from the mean should correspond to a far lower defect rate—about 2 parts per billion? The answer lies in what Six Sigma practitioners call the 1.5 sigma shift.
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Dear friends, I am happy to release our 59th video on Exponential Distribution! Exponential Distribution is an appropriate mathematical model when failure or hazard rate is constant. It is often known as “Memoryless” as reliability in any time interval is same! Exponential Distribution has many applications in Reliability Engineering such as electronic components. Many reliability procedures in MIL Standards assume constant failure rate and Exponential Distribution! Hope you find the video interesting and useful! Your feedback is welcome! Do subscribe to our channel to get updates on our new videos and programs!
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In the world of work, execution is key. It’s not just about having great ideas or making ambitious plans; it’s about turning those ideas into action and seeing plans through to completion. However, despite our best intentions, many of us struggle to execute work effectively. So, why is this? What causes the execution gap? Let’s explore some common reasons why people fail to execute work and how we can overcome these challenges.
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In this short video, I explain the concept of the P-F Interval and its crucial role in Condition Based Maintenance (CBM). Understanding the P-F Interval is essential for determining how often to perform CBM tasks (and Predictive Maintenance task intervals) to catch Potential Failures before they become full-blown failures. Learn how the time between detecting a Potential Failure Condition and the point of failure — known as the P-F Interval — guides your inspection intervals and helps ensure reliability.
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