How machine learning will revolutionize manufacturing

Let’s think for a moment about the high volume of data generated by companies. Data about customers, suppliers, productivity, human resources... Information that, in many cases, is not integrated into all business departments so there is no overall vision or, what is worse, it is not even digitized. Both weaknesses stall decision making and/or can lead to wrong decisions. And in this new digital ecosystem, data is the raw material of Industry 4.0.

Five reasons for applying machine learning in manufacturing

The Spanish industrial sector is facing an enormous challenge in order to become more competitive in the midst of digital transformation and in a market in which new consumer habits are pushing us towards a new form of manufacturing. The client in the digital era wants THEIR order (in capital letters because they don’t want what’s standard, they want something that’s customized) and they want it in record time, which requires us to be more streamlined and fast.

MES, the Heart of the Plant

In the same way that the heart pumps blood in different ways according to the requirements of the body, the MES gives the production manager the ability to adapt to the pace and characteristics of the company, its customers and its production plants.

Planning the best quote available...

Is this process sufficiently agile, fast, flexible, and to what extent should it be standardized, or should it be custom-made?

Digital Twins, or when we used to refer to the first model as a prototype

The prototype’s days are numbered. Yes, I know, it’s a hackneyed phrase, but this is the reality facing us thanks to the new possibilities Industry 4.0 has on offer. Nowadays there are software solutions able to generate a virtual design of a product or process we wish to test, thereby reducing labor hours and investment substantially.