Root Cause Analysis Methodology

1992 ◽  
Author(s):  
Miles C. Miller
Keyword(s):  
Root Cause Analysis ◽  
Cause Analysis ◽  
Root Cause ◽  
Analysis Methodology

A sustainability root cause analysis methodology and its application

2011 ◽  
Vol 35 (12) ◽  
pp. 2786-2798 ◽  
Author(s):  
Abhishek Jayswal ◽  
Xiang Li ◽  
Anand Zanwar ◽  
Helen H. Lou ◽  
Yinlun Huang
Keyword(s):  
Root Cause Analysis ◽  
Cause Analysis ◽  
Root Cause ◽  
Analysis Methodology

Root cause analysis methodology for circuit breaker associated to GIS

2020 ◽  
Vol 115 ◽  
pp. 104680 ◽  
Author(s):  
Ricardo Manuel Arias Velásquez ◽  
Jennifer Vanessa Mejía Lara
Keyword(s):  
Circuit Breaker ◽  
Root Cause Analysis ◽  
Cause Analysis ◽  
Root Cause ◽  
Analysis Methodology

Root Cause Analysis of Wells with Integrity Failures

2021 ◽  
Author(s):  
Andrey Yugay ◽  
Gervasio Pimenta ◽  
Aidar Zhukin ◽  
Hamdi Bouali Daghmouni ◽  
Mikhail Silchenok ◽  
...  
Keyword(s):  
Management System ◽  
Root Cause Analysis ◽  
Science And Engineering ◽  
Cause Analysis ◽  
Root Cause ◽  
Critical Data ◽  
Analysis Methodology ◽  
Engineering Discipline ◽  
Obvious Benefit ◽  
Time Gap

Abstract A Root Cause Analysis (RCA) is a methodological process of problem solving. In brief, this is an approach of "post mortem" analysis of the consequences with aim to understand what is one single (or multiple) lack of Management System that led to failure. Subsequently we can develop detailed remedial plan and actions to address failed Management System and most importantly prevent reoccurrence. Approach has been widely used in science and engineering. Probably, will be difficult to identify inventors of this analysis however first appearance in engineering discipline credited to Sakichi Toyoda, founder of Toyota Industries. He improved RCA by implementing technique called the "5 whys". Despite obvious benefit and versatility of root cause analysis methodology there are several challenges that might jeopardize result:–Absence of critical data / information due to various reason (time gap, no recoverable samples etc)–Too many variables that not allow to pinpoint main line / chain of investigation–Multiple failures with different root causes–"Depth of investigation" how many "Whys" are efficient to reveal main root cause.

Root Cause analysis of SG tube ODSCC indications within the tube sheets of NPP biblis unit A

2011 ◽  
pp. 78-86
Author(s):  
R. Kilian ◽  
J. Beck ◽  
H. Lang ◽  
V. Schneider ◽  
T. Schönherr ◽  
...  
Keyword(s):  
Root Cause Analysis ◽  
Cause Analysis ◽  
Root Cause

Rule Construction and its Execution for Root Cause Analysis

2012 ◽  
Vol 132 (10) ◽  
pp. 1689-1697
Author(s):  
Yutaka Kudo ◽  
Tomohiro Morimura ◽  
Kiminori Sugauchi ◽  
Tetsuya Masuishi ◽  
Norihisa Komoda
Keyword(s):  
Root Cause Analysis ◽  
Cause Analysis ◽  
Root Cause

Root Cause Analysis Techniques Using Picosecond Time Resolved LADA

2014 ◽  
Author(s):  
Dan Bodoh ◽  
Kent Erington ◽  
Kris Dickson ◽  
George Lange ◽  
Carey Wu ◽  
...  
Keyword(s):  
Integrated Circuits ◽  
Picosecond Laser ◽  
Root Cause Analysis ◽  
Fault Isolation ◽  
Time Resolved ◽  
Cause Analysis ◽  
Root Cause ◽  
Design And Manufacturing ◽  
Multiple Interactions ◽  
Established Technique

Abstract Laser-assisted device alteration (LADA) is an established technique used to identify critical speed paths in integrated circuits. LADA can reveal the physical location of a speed path, but not the timing of the speed path. This paper describes the root cause analysis benefits of 1064nm time resolved LADA (TR-LADA) with a picosecond laser. It shows several examples of how picosecond TR-LADA has complemented the existing fault isolation toolset and has allowed for quicker resolution of design and manufacturing issues. The paper explains how TR-LADA increases the LADA localization resolution by eliminating the well interaction, provides the timing of the event detected by LADA, indicates the propagation direction of the critical signals detected by LADA, allows the analyst to infer the logic values of the critical signals, and separates multiple interactions occurring at the same site for better understanding of the critical signals.

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