在正确的时间将正确的信息传递给正确的接收者：这是MES（制造执行系统）目的，它是一个管理生产加工过程和监测的数字平台。它是为更广泛的数字化转型过程中的一个关键步骤，目标是提交效率。
Transmitting the right information, at the right time and to the right recipient: this is the purpose of MES (Manufacturing Execution System), a digital platform that manages the piloting and monitoring of production operations. This is a key step in a broader process of digital transformation to improve performance.
MES软件是设计用来监控生产流程的全部阶段，从接收原材料到物流包装。它们不仅允许对生产进行跟踪，而且允许对方法和质量进行监测，从而对车间的性能进行实时跟踪。一句话，这种类型的软件工具为工厂提供了可靠、通用和实时可用的数据。
MES software is designed to monitor all stages of the production flow, from the receipt of raw materials to logistics packaging. They allow a follow-up not only of the production, but also of the method and the quality and thus a real-time piloting of the performance of the workshops. In a word, this type of tool offers manufacturers reliable, shared and immediately available data.
在过去一年多的时间里，许多中小型企业的订单量急剧增加。和大型集团都在使用各种不同功能的软件来提升工厂的绩效，大多的中小型企业还没有进行数字化的转行。
现在，法国政府都在推动企业上软件数字化的计划。工厂的智能制造部门自然也开始行动起来。新冠疫情危机对企业的数字化进程产生了加速的影响。
Over the past year or so, many MES companies have seen a sharp increase in the volume of incoming orders from small and medium-sized businesses. Unlike large groups, which are increasingly well equipped with performance measurement solutions, small and medium-sized companies had not yet taken the digitalization turn.
They are now encouraged by France Relance, the government's plan for Industry 4.0. The sector of digital performance management tools is naturally accompanying this movement. The Covid crisis has had an accelerating effect on the digitalization process in companies, and industry is no exception.
现实中，面对围绕数字化挑战的大量方案和规范（质量、法规、创新、客户满意度）生产商可能会感到有点迷茫。
这就是为什么必须要有一个数字化转型咨询公司的帮助，或者至少要有一个适合他们行业的数字化解决方案。
But in reality, faced with a plethora of offers and injunctions around the challenges of digitalization - quality, regulations, innovation, customer satisfaction - manufacturers can, quite rightly, feel a little lost.
This is why it is important to be accompanied by a digital transformation consulting firm or, at the very least, by a digital solution adapted to their sector.
在工厂的生产管理过程中，使用数字化方案收集了大量的数据，新的问题是公司管理者要如何使用这些数据来产生价值。一位工程师说："正是因为我拥有正确的数据，我才能衡量我的业绩并加以改进。＂
The digitalization of production management brings together a whole range of data. The challenge for the company will be to know how to use it. "It is because I have the right data that I can measure my performance and improve it," says one editor.
机器稼动率是期望的核心
Machine performance at the heart of expectations
在围绕数字化的各种期望中，绩效记录软件的工程师注意到，健康危机加速了一个基本趋势：对机器绩效的提升需求增加。
几年前的重点是法规和认证（质量、可追溯性），当前是机器创造的价值。这并不意味着我们要牺牲其中之一。
Among the various expectations surrounding digitalization, performance measurement software editors have noted that the health crisis has accelerated a fundamental trend: the increase in demand for machine performance.
Where the emphasis was placed a few years ago on regulations and certification (quality, traceability), it is now the machine that crystallizes all expectations.
软件工程师说"我们可以同时满足设备性能和产品质量，而疫情推动了这方面的进度。改进机器意味着用更低的成本优化它的性能。
"如果一台设备的产量更高品质有保证，工厂ＣＥＯ可以推迟增加新产线的固定成本投资，“Teeptrak公司首席执行官François Coulloudon说。
This does not mean that we sacrifice one to the other," says the software editor. "We can look for performance and quality at the same time, but the crisis has increased this notion of performance of the production tool, which is also encouraged by the recovery plan. Improving the machine means optimizing its performance "at lower cost".
"If a set of equipment produces more, the manufacturer can postpone certain investments," says François Coulloudon, CEO of Teeptrak.
这种方案优化的关键是正确使用数据。采集的好是很重要的，这有助于做出决策并给自己提供优化性能的手段。这是未来几年的主要挑战之一。
"分析数据以使其有意义并不那么明显，它需要对机器有深刻的了解：采集什么数据？如何标注它？"
法国电子行业公司行业代表Laurent Siegfried问道："制造商正在寻找这种解决方案，它肯定会来自ＡＩ，但ＡＩ也是由人类控制的。"
The keystone of this search for optimization is the proper use of data. Measuring well is important, but knowing what to do with the recovered data is essential to help make decisions and give yourself the means to optimize your performance. "This is one of the major challenges of the next few years: analyzing data to make sense of it is not so obvious, it requires an excellent knowledge of the machine: what data to extract? How to interpret it?" asks Laurent Siegfried, Smart Up Industry delegate for GIMELEC, a group of companies in the French electronics industry.
"Manufacturers are looking for this interpretation capacity, which will certainly come from artificial intelligence, but which will always be driven by humans.
更加 "横向 "的选择
A more "horizontal" offer
开发生产管理软件的工程师已经充分考虑到解释数据的需要，他们越来越多地提供简单的绩效收集方法。
来料和生产过程的可追溯性，被整合到软件中。劳伦特-西格弗里德分析说："服务的提供越来越横向化"。
在过去的6、7年中，提供软件方案的公司与服务的公司合作越来越紧密。
今天，那些不提供服务只给工具的服务商变少了。
This need to interpret data has been well taken into account by editors of production management solutions, who are increasingly offering services associated with the "simple" measurement of performance.
Traceability of materials and processes, document management integrated into the software, web portals integrating all the functionalities: "the service offer is increasingly horizontal", analyses Laurent Siegfried.
For the last 6 or 7 years, the world of solutions and services and the world of software publishers have been coming closer together.
Today, the "pure" publishers, who do not offer associated services, are weakened.
同样，绩效管理软件也越来越依赖于使用它的部门。
今天，很多的工厂有自己的MES，适应他们的生产设备，适应他们的公司发展，适应他们对效率的追求。
In the same way, performance management software is increasingly dependent on the sector in which it will be implemented.
"Today, our members have their own MES, adapted to their production tool, to their evolution, to their search for performance", adds the GIMELEC delegate.
"这就是为什么工厂需要基于适合自己的技术。例如，在汽车行业，机器性能提升方面的需求与食品行业不一样。"
Teeptrak公司的François Coulloudon指出："我们的工作也是帮助工厂确定他们的标准，并适应他们行业和公司特有的竞争力。"
"That's why manufacturers need technologies that are based on business experience. For example, in the automotive sector, the needs in terms of machine monitoring and optimization will not be the same as in the food industry."
"Our job is also to help manufacturers define their standards and adapt to the competitiveness issues specific to their sector and their company," notes François Coulloudon of Teeptrak.
最后，软件服务商指出，在绩效问题的中心，始终是人。
"数字化是而且必须是为了达到目标的一种手段"，Laurent Siegfried坚持说，"在与数字化相关的所有挑战中，我们发现人的重要性，不论是解释数据还是赋予其意义。"
In the end, software publishers note, at the center of this performance issue is always the human being.
"Digital is and must remain a means to an end," insists Laurent Siegfried.
"In all the challenges linked to digitalization, we find the importance of people, whether it is a question of interpreting data or giving it meaning."
实施数字化的挑战：让团队加入和参与其中。培训的重要性很重要，无论是在车间还是在管理团队。
Laurent Siegfried总结说："我们的数字化程度越高，我们就越能认识到生产过程中人的因素的附加值，无论是在分析、思考、质量提升还是反应能力方面" 。
This is the challenge of digitalization: to get the teams on board and involved. Hence the importance of training, both on the shop floor and in management teams.
"The more we digitalize, the more we realize the added value of the human element in the production process, whether in terms of analysis, reflection, quality contribution or responsiveness," concludes Laurent Siegfried.
Source: https://www.usinenouvelle.com/article/la-crise-du-covid-a-eu-un-effet-d-accelerateur-du-processus-de-digitalisation-de-l-industrie.N1154532
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