Articles Archives - Page 61 of 215

All articles listed in reverse chronological order.

Help Your Team Make Better Reliability Decisions

While in the US Army many years ago, I took command of an artillery battery. My first day included sitting down with my boss, the battalion commander. I’ve used the advice he gave me every day since.

He said that I needed to make decisions. It’s great when they are good decisions, you can learn from decisions that don’t work out well. He also said the only thing not allowed is not making a decision.

I learned that decision-making is a process and that I could get better at it with practice and feedback, and I did. [Read more…]

by James Kovacevic Leave a Comment

The Importance of Master Data in Spare Parts Management

Enabling Storeroom Success Through Data

Data How often does your facility run out of raw materials? Chances are it is not very often, if ever. Why is this? It may be because the organization has invested heavily in gathering the right data, analyzing and developing contracts for the materials. This prior work ensures a steady supply of materials.

So why is it that within the same organization there is virtually no data to support the spare parts? Not having a spare part can dramatically impact an organization in the same way as not having raw materials. The result is no production. [Read more…]

by Alex Williams Leave a Comment

Guide to Maintenance Management Terminology

It’s easy to become overwhelmed with the vast amount of terminology used to describe maintenance concepts. Even those who are familiar with various maintenance management terms know there is a lack of consistency among sources. This guide to maintenance management terminology serves to help teams better understand the differences between key phrases used in the industry. Browse through our maintenance glossary below. [Read more…]

by James Reyes-Picknell Leave a Comment

Are you on the right track with the right…

Are we on the right track with the right train? Your job is to improve reliability and you have a plan. It focuses on bad-actors, having the right data, cleaning up some parts data that is known to be causing delays in work execution, a bit of training in reliability methods, and your adding engineers. You are certainly on the right track with your plan and the actions you will take should indeed make some improvement. But are you on the right track? [Read more…]

by Greg Hutchins Leave a Comment

Linking Risk Assessments to Decision Making

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

The point of risk management is to understand and react to the threats and opportunities that might affect your business. The problem is that risk management can often become dislocated from the mainstream business processes. Instead of being integrated into the organization, risk management takes place in a parallel but separate workstream: one that decision-makers dip into occasionally but generally look at as a specialized, technical process. [Read more…]

by Ray Harkins Leave a Comment

Andragogy – How Adults Learn to Learn

This strange word andragogy was popularized in the early 1970’s by educational researcher, Malcolm Knowles. It is etymologically rooted in the Greek language from two words “aner”, which means “man” and “agogos”, which means “to lead”. Fused together, andragogy means “leading men”, or to paraphrase, leading or educating adults. Andragogy is often contrasted with pedagogy, typically referring to the education of children. [Read more…]

by Oleg Ivanov Leave a Comment

The Dark Side of the HALT

Thems that die’ll be the lucky ones.
~ Robert Louis Stevenson

This post is a continuation of the series “Is the HALT a Life Test or not?”

Test two samples and demonstrate reliability R=0,99 over a lifetime with CL=0,99. This is real. But what payment will we pay, besides the duration of the test on triple lifetime, which can be significantly accelerated by the way? [Read more…]

by Steven Wachs Leave a Comment

How is Formal Experimentation different from Simplistic Approaches (Part I)

Statistically based DOE provides several advantages over more simplistic approaches such “one-factor-at-a-time” experimentation. These advantages include:

The use of statistical methodology to determine which factors are actually (statistically) significant
Balanced experimental designs to allow stronger conclusions with respect to cause and effect relationships (as opposed to just finding correlations)
The ability to understand and estimate interactions between factors
The development of predictive models that are used to find optimal solutions for one or more responses

This article will explore the first two advantages in a bit more detail. The second two advantages will be discussed in the next article post. [Read more…]

by Fred Schenkelberg Leave a Comment

Creating a Histogram

A histogram is a graphical representation of a set of data. It is useful to visually inspect data for its range, distribution, location, scale, skewness, etc. There are many uses for histogram, there you should know how to create one.

Let’s explore a set of data and create default histograms using a variety of methods. If you have a way to create a histogram using some other method or software package please send it over and we’ll add it to the article. [Read more…]

by Larry George 1 Comment

How Can You Estimate Reliability Without Life Data?

Myron Tribus’ UCLA Statistical Thermodynamics class introduced me to entropy, -Sp(t)ln(p(t)). (p(t) is the probability of state t of a system.) Professor Tribus later advocated maximum-entropy reliability estimation, because that “…best represents the current state of knowledge about a system…” [Principle of maximum entropy – Wikipedia] Caution! This article contain statistical neurohazards.

Claude Shannon wrote that entropy (log base 2) represents information bits, “…an absolute mathematical limit on how well data from the source can be losslessly compressed onto a perfectly noiseless channel.” [Beirlant et al.]

Maximum likelihood estimation is one way to estimate reliability from data. It maximizes the probability density function of observed data, Pp(t), e.g., for observed failures at ages t. It is equivalent to maximize -Sln(p(t). Maximum entropy reliability estimation maximizes entropy -Sp(t)ln(p(t). That’s same as maximizing the expected value, -Sp(t)ln(p(t), of the log likelihood -ln(p(t). Fine, if you have life data, ages at failures t censored or not. [Read more…]

by Robert (Bob) J. Latino Leave a Comment

The ‘Soft Side’ of RCA: Management’s Role in ‘Effective’ Training

In an era of rapidly advancing technology, the need for training to keep up is imperative. But training alone is not the panacea to a facility’s problems. Management’s must be aware that the environment in which their people work, will either progress or obstruct any training that is provided to them. We will refer to our need to address the human element, as the “soft side” of technology. It is estimated that over $60B U.S. is spent on industrial training a year and that only 20% of that training investment is ever applied. Are we getting our money’s worth from our training investment? If not, here are some things to consider when training our personnel and using their valuable time from the field. [Read more…]

by Christopher Jackson 2 Comments

Manufacturing notes – what is Statistical Process Control (SPC)?

If you have ever been involved in manufacturing or quality-related conversations, you may have heard of ‘Statistical Process Control’ or SPC. And if you Google SPC you will find a bunch of ‘textbooky’ definitions which are likely going to make you run away and never think of it again.

But you shouldn’t. [Read more…]

by Doug Lehr Leave a Comment

Critical Equipment Fundamentals

Critical is defined as “a situation or problem having the potential to become disastrous”. A system of physical well barriers is used in offshore wells to mitigate against a disastrous event. The United States Bureau of Safety and Environmental Enforcement (BSEE) refers to Category 1 and 2 well barriers. A failure of a barrier can lead to a blowout or fluids spill into the ocean, either of which is high severity. Thus, it is customary in the upstream energy industry to refer to well barriers as “critical equipment”. [Read more…]

by James Kovacevic Leave a Comment

Developing a Stocking Strategy

A Risk-Based Approach to Spares Management

I want you to image a storeroom. Really, close your eyes and think about a storeroom with;

No access control
Stocking 2 years worth of electrical boxes
No naming system for parts
A kitting shelf with parts received 3 years ago
Parts in stock from equipment that was removed 8 years prior
V-belts dry rotted on the shelf, corroded valves, and bearings out of their packaging
Anyone could stock a part in the control room

[Read more…]

by Greg Hutchins Leave a Comment

Discover New Opportunities Never Before Available

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

Disruption is a central component of the Anticipatory Organization Model, focusing closely on how Anticipatory Organizations and individuals can look at disruption and see enormous opportunities.

The untimely situation we currently face with COVID-19 is no exception; not only has every industry been touched by the coronavirus pandemic and subsequent lockdown, every country has. There is literally no safe haven from this disease, and businesses both large and small have found themselves in a predicament unlike ever before. [Read more…]