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You are here: Home / Courses / Barringer Process Reliability Introduction

by André-Michel Ferrari Leave a Comment

Barringer Process Reliability Introduction

Barringer Process Reliability Introduction
Current Status
Not Enrolled
Price
$150
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Take this Course

Enrol today in the Beta launch of the course using coupon code BPRbeta for a 50% discount.

Barringer Process Reliability (BPR) is a production analysis methodology quantifying the performance of a plant or operating unit on a strategic level. Invented by Paul Barringer, it is also known as “the factory on a single page” analysis. His objective was to provide busy managers with a visual tool to assess and quantify the performance of their production plant with simple graphics and a set of key performance indicators. Without getting them to read tedious reports or get bogged down into details relating to performance issues. Once the strategic overview established, the manager would assign his team to “get down in the weeds” and address poor performance.

The underlying mathematical concept for BPR is the Weibull Statistical Distribution. Daily Production data randomness can be modeled by a Weibull distribution. The Weibull distribution allows for straight lines in logarithmic plots, leading to easy performance evaluation and loss quantification.

BPR is not intended to go into the details of the losses or low production capabilities. It remains at a high level (the 10,000ft view). However, it is still able to benchmark, quantify production losses as well as opportunities for improvement. It also has the unique ability to measure quite precisely the variability in production output.

One of the biggest advantages of BPR is that the only input required is daily production values. Such as the daily widget production values in a widget manufacturing plant. Or daily crude oil barrels processed in a refinery. This makes BPR easier to perform compared to traditional reliability analysis which requires specific and not always readily available records.

BPR plot example


I have had the privilege of learning under André-Michel Ferrari, and I can confidently say that his teaching and mentoring has had a profound impact on both my personal and professional growth.

— Jamie Ramkissoon, Petroleum Engineer, BRITISH PETROLEUM

Get started with the Barringer Process Reliability course today

Enrol today in the Beta launch of the course using coupon code BPRbeta for a 50% discount.

This course has 4 main lessons, 16 sections, and approximately 8 hours of material, examples, quizzes, and exercises. André-Michel is available to answer your questions and discuss course topics. Once purchased, you have full access for one month. The course is on-demand, so you can engage with it in a way that fits your schedule and interests.

This course is geared toward managers and production analysts who need to make rapid yet robust decisions on production improvement and revenue-increasing strategies.

Reliability Engineering fundamentals relating to BPR are clearly explained. And all calculations and visual representations can be done using the SuperSMITH® software.

Thank you, André-Michel, for your exceptional ability to break down the complex engineering reliability theory into understandable terms, making the topics accessible to all levels. Through the data analysis and modeling, I see your intensive knowledge and engineering experience. I will recommend your reliability courses to my colleagues.

Yansheng Yu, Engineering Specialist, 3U PIPELINE TECHNICAL SOLUTIONS

Enroll in the Barringer Process Reliability course

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Course Navigation Instructions Video


About André-Michel Ferrari

André-Michel Ferrari is a Reliability Engineer who specializes in Reliability Analytics and Modeling which are fundamental to improving asset performance and output in industrial operations.

André-Michel has approximately 30 years of industrial experience mainly in Reliability Engineering, Maintenance Engineering, and Quality Systems Implementation. His experience includes world-class companies in the Brewing, Semiconductor, and Oil & Gas industries in Africa, Europe and North America.

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Navigation

Course Home Expand All
Welcome Video by André-Michel Ferrari
Lesson 1 – Course Contents and Software
4 Lessons
Lesson 1 Section 1 – BPR “Flyover”
Lesson 1 Section 2 – Course Outline and Requirements
Lesson 1 Section 3 – The BPR Software – SuperSMITH® Overview
Lesson 1 Section 4 – SuperSMITH® basic manipulation
Lesson 2 – Reliability Engineering and BPR Fundamentals
4 Lessons
Lesson 2 Section 1 – BPR and Common Paradigms
Lesson 2 Section 2 – Reliability Engineering Concepts
Lesson 2 Section 3 – The Weibull Distribution and Production Analysis
Lesson 2 Section 4 – Gathering it all together in BPR
Lesson 3 – Practical Session – BPR Plot Construction
4 Lessons
Lesson 3 Section 1 – Building the BPR Plot
Lesson 3 Section 2 – Advanced Construction of the BPR Plot – Part 1
Lesson 3 Section 3 – Advanced Construction of the BPR Plot – Part 2
Lesson 3 Section 4 – BPR Plot Interpretation and Reporting
Lesson 4 – Advanced BPR Analysis
3 Lessons
Lesson 4 Section 1 – Cut Back Losses
Lesson 4 Section 2 – Multi-Plots & Benchmarking
Lesson 4 Section 3 – BPR Data Generation (Monte Carlo Simulations) and Concluding Remarks
Course Feedback Questionnaire

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