可靠性的量化真的那么难吗？

 今天网上随便搜索了下可靠性，发现GE对于可靠性量化做的非常好。在GE的网页中推荐他们的可靠性咨询业务的介绍是“更少的维护费用，更好的运行成果：我们的可靠性改善服务能够帮助客户节约 60% 维护费用，同时改善设备正常运行时间性能，缩短维修时间，减少设备对环境的不良影响以及更多优势。”帮助客户节约60%的费用，用数字说话诱惑力非常的大，这时候找人要求都底气十足啊。

想到这个我就像说了，他这是做生意，那么我们平常工作的时候是不是也可以进行类似的分析呢，有了这样的数据会对可靠性工作有的巨大的帮助，还可以帮助我们来宣传和推广可靠性的理念，让更多的人认识和认同可靠性的工作。其实不仅仅是可靠性工作的成果需要量化，可靠性的工作同样也需要量化，例如为什么降额是这样的规范而不是其它等等，做可靠性在当今社会已经不能够完全靠定性来做了，如果那样会被抛弃的，现在无论做什么工作都需要有数据来定量表述，可靠性也不会例外，所以让我们从现在做起迎接挑战吧，希望我们可以共同创造可靠性的美好明天。

下面是GE的一些具体成功案例，供大家参考。

发电厂：Downtime was reduced by nearly 90% resulting in savings of more than $350,000 per year.

钢铁厂：The plant became the most profi table steel producer in North America and was rated the #1 steel mill in the world by Dow Jones. This plant reduced reactive maintenance from 70% to 20%, increased availability from 78% to 91%, improved First Run Yield from 76% to 91%, and decreased storeroom inventory by $40 million — all with fewer people.

化工厂：Upon implementing the results of the analysis, the facility reduced its annual maintenance spend from 7% of RAV to 4% and increased its production capability to 133% of the rated nameplate capacity.

炼油厂：Even though the value of new spare parts increased by 400%, the total inventory increased by only 12% — negligible considering the 30% maintenance spend reduction and reliability improvement savings they enjoyed.

港口进出口：The manufacturer reduced the number of equipment breakdowns by 75%, enabling signifi cantly improved production.

制药厂：The new organization and processes cut overtime costs by 18%, decreased overall parts and labor costs by 11%, and increased production by 15%.

如果想了解详细内容请下载下面链接中的问题阅读。

http://www.gepower.com/prod_serv/products/oc/cn/downloads/gea_14565a.pdf