The problem with root cause analysis

作者
C. Robert Nelms
标识
DOI:10.1109/hfpp.2007.4413215
摘要

An 800 person forum comprised of Root Cause Analysis (RCA) practitioners from all over the world tried to define “Root Cause Analysis.” They could not agree on an answer. A smaller group was formed, composed in part by at least 5 major RCA consultants. They could not agree either. Several major Professional Societies have tried to define root cause analysis with the same results - disagreement! Each person, consultant, or organization will define “Root Cause Analysis” differently, because the depth pursued in an RCA is dependent on what the inquirer is willing to see. When a person only wants to understand the physical mechanisms of their problems, or to only see problems in their “Management Systems,” that is all they will see. RCA has become whatever people want it to be. This is the problem with Root Cause Analysis. It means dif- ferent things to different industries - even different things within the same industries. It is even difficult to find consistency within the same companies, or even sites within a company! It almost seems as if we’ve created an endeavor (called Root Cause Analysis) that does everything but look at “root cause!” We are the root cause of our problems - each of us and all of us. We always have been and we always will be. Our attitudes, beliefs, and assumptions about life cause us to behave in errant ways. Things that go wrong are the only phenomena that prompt us to reconsider these kinds of things. Unfortunately however, it seems that most Root Cause Analysis (RCA) methods encourage people to look at just about everything besides themselves. This paper will describe an effective, proven way to help peo- ple see themselves as part of their problems. It is opposite to the blaming and finger-pointing of the past, because instead of telling people their problems, this technique will describe how to help people discover their own role in things that go wrong. It is an introspective, evidence-based exercise that is life- changing to those who are willing to participate.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
南芥完成签到,获得积分10
刚刚
英吉利25发布了新的文献求助10
1秒前
科研通AI2S应助怂怂采纳,获得10
1秒前
2秒前
秋雨梧桐完成签到 ,获得积分10
2秒前
陈平安发布了新的文献求助10
2秒前
初晨发布了新的文献求助10
2秒前
3秒前
123123发布了新的文献求助10
4秒前
bkagyin应助honphyjiang采纳,获得10
4秒前
4秒前
lion发布了新的文献求助10
6秒前
薛义涵完成签到,获得积分10
6秒前
6秒前
6秒前
Azurewave发布了新的文献求助20
6秒前
yi完成签到,获得积分10
8秒前
文献打人应助1111采纳,获得50
8秒前
梦初醒处发布了新的文献求助20
8秒前
帅帅发布了新的文献求助10
9秒前
pp发布了新的文献求助10
9秒前
leo发布了新的文献求助10
10秒前
Nole应助QH采纳,获得10
10秒前
oliviattt完成签到,获得积分10
10秒前
11秒前
蔺不平完成签到,获得积分10
11秒前
coward发布了新的文献求助10
11秒前
Neltharion发布了新的文献求助10
12秒前
12秒前
大模型应助苏杉杉采纳,获得10
12秒前
炜大的我应助小孟采纳,获得10
12秒前
RAE完成签到,获得积分10
13秒前
Jupiter 1234完成签到,获得积分10
15秒前
海德堡完成签到,获得积分10
15秒前
15秒前
16秒前
顾矜应助科研通管家采纳,获得10
16秒前
22336应助科研通管家采纳,获得20
16秒前
16秒前
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Römisch-Germanische Forschungen 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Green Fire Retardants for Polymeric Materials 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7615304
求助须知:如何正确求助?哪些是违规求助? 9190561
关于积分的说明 19692519
捐赠科研通 7187863
什么是DOI,文献DOI怎么找? 3271265
关于科研通互助平台的介绍 2434530
邀请新用户注册赠送积分活动 2266392