月是今夜明 发表于 2021-1-28 15:30:02

六西格玛解决问题之道

本帖最后由 月是今夜明 于 2021-1-28 15:36 编辑

你好,欢迎加入六西格玛解决问题方法的讨论,这个帖子是关于流程类改善的典型模式的探讨,不涉及产品开发及流程设计方面的内容。这个标题高大上吧?别急,既然都点进来了,我们就简单地来聊聊吧。六西格玛方法解决问题的核心是通过观测实际问题,将其转换为统计问题,运用统计方法得出统计结论,映射到实际问题,进而得出实际问题的解决措施。 这个模型不是我发明的,我也没找到出处,咨询顾问在做六西格玛培训时也常常用到,说明其具有解决问题的代表性。从中我们也可以解释为什么学习六西格玛需要具备一定的统计学知识。我们在运用这个方法时,最容易犯的错误是在最后一步,就是统计结论不能很好的与实际需要采取的措施相结合,也就是常说的过于关注数字统计。比如说,我们想验证不同来料是否对生产的产品有影响,先有计划的收集数据,通过统计得出P值小于0.05,这下可好了,发现了显著性的差异,然后呢?就没有然后了。其实这个时候更应该关注的是为何会出现这样的差异,差异点在哪,是来料本身的问题还是使用条件的问题等等,这些都需要结合现场生产的情况做分析的,也就是我们提倡的六西格玛+专业的理念。欢迎大家留言讨论。

Mac-T 发表于 2021-1-28 17:01:29

太片面了... 从实际问题到转化为一个统计学的问题中间还隔着好长一段工作...
容易犯错误的不是后面是前面这个转化过程无法找到真正的因子
如A阶段却已经找到真因D阶段的工作就是水到渠成   
DMAIC 过程 D和M阶段占一半以上的工作量还有个很容易犯错的点就是实际问题Y到底是什么?
如何分解?这个问题回答不好会导致整个项目跑偏...
M阶段 的因子如何寻找?如何筛选?这些根本用不到统计学都是逻辑的问题...

zasr 发表于 2021-1-28 17:24:28

如果只是那样,QC七大手法不是来得更直接。何必操牛刀杀鸡!

月是今夜明 发表于 2021-1-28 17:45:07

Mac-T 发表于 2021-1-28 17:01
太片面了... 从实际问题到转化为一个统计学的问题中间还隔着好长一段工作...
容易犯错误的不是后面是 ...

首先,感谢你的回复。这个问题有点多,看来有些误会哈。
我这里列出的是运用六西格玛方法解决问题的一个具体模型,还不至于非要用到六西格玛项目来看待这个吧。你可以思考下,我们在运用数据分析的过程中,是不是都是参照了这个思路?亦或是还有更好的思维模型?

月是今夜明 发表于 2021-1-28 17:49:25

zasr 发表于 2021-1-28 17:24
如果只是那样,QC七大手法不是来得更直接。何必操牛刀杀鸡!

感谢你的回复。
这里讨论的是问题的思考模型,还没到项目管理方面的内容。不是所有的问题都是要用项目来解决的,对吧?

chg1555 发表于 2021-1-28 21:26:08

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
任何一个质量工具都有其应用领域、功能等。
任何一个质量问题,不是需要用到所有工具、也不是只用一个就能解决。
问题有简单、复杂;有定性、定量。
GM Red-X工具将问题分类成二类:几何(特性)、物理(缺陷、偶发事件)
......
这图可以明了解决问题的“重点”

YYZZAA998 发表于 2021-1-28 22:27:30

;P;P;P

peterlovejin 发表于 2021-1-29 00:34:40

{:1_89:}

2017yuan 发表于 2021-1-29 08:14:43

感谢分享!

sly2016016 发表于 2021-1-29 08:27:35

月是今夜明 发表于 2021-1-28 17:45
首先,感谢你的回复。这个问题有点多,看来有些误会哈。
我这里列出的是运用六西格玛方法解决问题的一个 ...


这个DMAIC其实就是PDCA管理的升级版本,包括项目管理,品管7手法运用,SPC过程管控等,套路就工具,最终就是解决问题的有效方法。。。
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查看完整版本: 六西格玛解决问题之道