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.

Software for the coexistence of different sheet metal cutting machines at the same plant

Typically, a second machine tool is added to plants in an attempt to increase production and/or diversify. However, we are also seeing it as a phenomenon aimed at resolving the issue with small series. This occurs when there’s a machine with a large automated production capacity which is expensive to interrupt in order to manufacture small series. To cover this gap and avoid interrupting serial production, many factories use an additional, cheaper machine, without automation but with greater availability.

Smart Factory: integration of manufacturing processes in multi-location companies

Competitiveness and the capacity to adapt have become the axes that support the success of any business. Nowadays, the many changing intrinsic factors in each region and sector, macroeconomic trends of a hyperconnected global market, specific regulatory aspects in each country, or the consumer’s own behavior, can have a positive or negative impact on the results of any organization.