Tips:
今天分享的是TPM英文，主题是：Predictive vs. Preventive Maintenance: Which Is the Right One for Your Business?-预测性维护VS预防性维护，哪一个适合你的公司，正文近2900字，欢迎阅读与分享！
另外，欢迎参与本公号今天的一个关于文章是否需要配备语音的问卷调查，谢谢！
正文：
Whether your business is small, medium or large, effective equipment maintenance is crucial. The CMMS market is flooded with solutions promising cost and time savings but also demanding a solid investment. Every maintenance professional will tell you that predictive and preventive maintenance are absolutely worth it and of highest importance for asset management.
无论你的公司规模是小型，中等，还是大型，有效的设备维护至关重要。计算机化维修管理系统（CMMS）市场充斥着承诺成本与时间节约的方案，但却需要可靠的投资。每个维修专业人员都会告诉你：预测性维护与预防性维护都是绝对值得做的，而且对于设备管理来说及其重要。
（注：asset一般的解释都是资产、财产，本文是关于设备维护的，故将asset索性翻成“设备”，希望TPM与设备维护专家提供建议，谢谢！）
But how to choose the right maintenance strategy for your equipment according to your budget?
怎么样根据预算去选择合适的设备维修规划？
Latest Trends Reshaping the Industrial Maintenance Sector
最新趋势重塑工业维护部门
Industrial Internet of Things (IIoT), big data, predictive maintenance and CMMS are already completely revolutionizing maintenance through their powerful proactive approach. Ensuring that an asset will function in the required manner with a minimum of maintenance over its life cycle is more than enough as an argument for many business owners to get all the latest available resources and follow the latest automation trends.
工业互联网（IIoT）、大数据、预测性维护，与计算机化维修管理系统，已经通过强有力的、具有前瞻性的方法完全颠覆了维护本身。确保设备能够在其生命周期内维护最少，以规定的方式运行，这足以作为许多企业主要获得所有最新的可用资源，并跟上最新的自动化趋势的一个论据。
Industry 4.0 makes the factory from today smarter, stronger and more flexible than ever before. Equipment condition monitoring has been available for many years thanks to different controllers, sensors and other tools and methods (e.g. vibration and oil analysis). But what is really new now and tremendously emerging is the capability to analyze big data and create predictive algorithms with the help of next-gen CMMS to anticipate and prevent a possible failure. This is obviously the absolute game changer in the maintenance world.
工业4.0让今天的工厂比以往更加智能、更加强大、更加灵活。得益于不同的控制器、传感器与其他工具与方法，对设备状况的监控变得越发可靠（比如，震动与油压检测）。目前真正最新的、新兴的是对大数据的分析的能力，在下一代计算机化维修管理系统的帮助下创立预测的算法，以期预测及阻止可能的故障，这明显是维修行业中的“游戏改变者”。
Should you then just forget about your established preventive maintenance routines and put all your efforts and money into a new predictive strategy? Preventive and predictive maintenance, rather than opposed strategies are complementary.
你是否需要忘记自己建立的预防性维护的规则，并将精力与金钱投入到新的预测性策略中？预防性维护与预测性维护，两者不是对立的关系，而是相辅相成的。
Predictive vs. Preventive Maintenance
预测性维护VS预防性维护
The table below shows the most important features of both most important maintenance types.
下表显示了最重要的两种维护类型的最重要的特征：
Can Every Business Afford Predictive Maintenance?
是不是所有的公司都能负担得起预测性维护？
Predictive maintenance is hard and costly to implement and therefore it is mainly adopted by large enterprises. Skilled professionals spend a lot of time to master the proper predictive model and continuously update it to ensure its accuracy and efficiency. If not properly implemented and followed, a predictive model can easily lead to mistakes, which can be critical for a wide range of industries as aerospace, automotive, defense, energy…
预测性维护实施起来很难而且代价高，因此，该类型的维护主要是大公司使用。技术熟练的专业人员需要花费大量的时间去掌握合适的预测性维护模块，并持续对其进行更新，以确保模块的准确性与效率。如果没有正确地实施与跟进，预测性维护模块很可能会引起错误，对于诸如航空航天业、汽车、国防与能源等行业而言，错误是致命的。
On the other hand, every effort to adopt predictive maintenance is worth it and the potential gain is huge. It improves plant reliability, machine availability and production safety. It totally prevents catastrophic breakdowns, delays and other bottlenecks.
另一方面，对于采取预测性维护的每一份努力都是值得的，而且潜在的收益巨大，可以提升工厂的可靠性、机器的可利用率与生产的安全性，完全可以防止灾难性的停机、延误与其他的瓶颈。
Why Do Small and/or Medium Sized Businesses tend to turn more to Preventive Maintenance?
为什么小规模及中等规模的公司更多倾向于预防性维护？
It is obvious that predictive maintenance is quite expensive for many small and some medium sized companies. It requires a lot of resources (material, time, expertise). Regarding preventive maintenance startegies, some companies appeal to external service providers. In the long term this might not be the best solution. Appealing to an external maintenance service provider slows down the production cycle and finally costs just a bit cheaper than setting a preventive maintenance routine for a small business. Therefore, establishing in-house preventive maintenance service should be one of the first priorities for small-sized companies owners.
显而易见，预测性维护，对于许多中小型企业而言相当昂贵。预测性维护需要很多的资源（材料、时间与专业知识）。至于预防性维护策略，一些公司喜欢将其给到外部的服务提供商。从长期看，这可能并不是最好的解决方案。让外部的服务提供商去做预防性维护会降低生产的周期，对于小企业而言，最终，这样做仅仅会比设立预防性维护例行程序节约不了多少钱。因此，对于小公司的企业主们而言，建立公司内部的预防性维护服务应该是首要优先事项之一。
Mobility Work will cost you only 30 euro/per month/ per user to manage maintenance services, schedule interventions, provide the whole machine’s history, ease spare parts management and many many more. Mobility Work doesn’t require any additional training or set up and its adoption in the workflow is fast and easy.
移动性作业，将仅仅花费你每个用户每月30欧元，去管理维护服务、计划干预，提供整个机器的履历，使得备件管理变得简单，等等。流动作业，并不需要额外培训与准备，其在工作流程使用上很快而且很容易。
Even if recently predictive is far trendier than preventive, SMEs should first master the preventive model to establish strong and reliable routines. Regular or time-based maintenance is highly efficient and significantly reduces the chance of system breakdowns. Following the manufacturer’s recommendations on equipment maintenance can increase machine’s life by 30 percent.
尽管，在近期，预测性维护远比预防性维护要流行，中小型企业首先要掌握预防性维护模块去建立强大且可靠的程序。常规或者定期维护非常有效，而且可以极大地减少系统的停机。遵循设备制造商在设备维护上的建议，可以将机器的使用寿命提升30%。
Why Should Large Businesses Turn to Predictive Maintenance?
为什么大公司倾向于预测性维护？
Predictive maintenance analytics are based on machine condition monitoring data and combined with highly efficient CMMS as Mobility Work, turn into the Holy Grail for every company.
预测性维护分析，是基于机器状况的数据跟踪，并与高效的计算机化维修管理系统相整合（比如，移动性工作），转化成公司的“法宝”。
Predictive Maintenance and CMMS: How to Get the Best Out Of It
预测性维护与计算机化维修管理系统：怎么样得到最好的结果
Large businesses have already implemented solid preventive routines and should be ready to leverage their maintenance level in order to improve their competitiveness. Predictive analytics have already proven their power for solving real-world problems in economics and science. Now, the industrial world has the great opportunity to benefit from their accuracy and great potential.
为提升其竞争力，大公司已经实施了可靠的预防性维护流程，应该已经准备好去平衡维护水平。预测性分析，已经在经济与科学层面证实了其解决现实问题的力量。现在，工业界有很多的机会，从预测性分析的准确性和巨大潜力中获益。
Choosing the right equipment maintenance approach depends a lot on your budget and the size of your business. Predictive and preventive maintenance are non-interchangeable and are both part of the successful maintenance program. Mobility Work can adapt to the needs of every company, whatever the size, budget and industry background.
选择哪一种合适的维护方法，很大程度上取决于预算与企业的规模。预测性维护与预防性维护并不是不可交替的，两者都是成功的维护程序。移动性工作可以适应所有公司的需求，无论公司规模大小，预算怎么样，或者行业背景如何。
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