Digitalisation Hungary: Industrial digitalisation for Hungarian companies

Author / Editor: Zsolt Meszaros / Franziska Breunig

More and more such devices and technologies have become available by today with which manufacturing companies can significantly increase their production and improve their operation.

(Source: bosch.hu)

An increasing number of companies build sensors in their machines and attempts to analyse the vast amount of data derived from the production procedure. Experts have set up a roadmap that illustrates the extent of advancement in industrial digitalisation. This model defines 3 levels of maturity and phrases the developments most efficiently realisable on each level.

The first level: Understanding

Majority of Hungarian industrial companies have already reached the first level or at least sees the advantages of it and wishes to take action in the forthcoming future regarding industrial digitalisation. This is the level where companies already begin to build sensors in their machines and monitor their efficiency. They know and understand that by appropriate administration and monitoring of data, they can save themselves from significant losses (such as idle machine time). A good example for the first level of digitalisation is the practice that, as opposed to the earlier procedure (when a piece of industrial equipment malfunctioned, repairmen found the errors after long experimentation), today, by the appropriate sensors, the source of a malfunction does not have to be searched for long. On the basis of measurements, the cause of the malfunction can be seen instantly and repair can be done more efficiently, furthermore, production can be resumed with a far less loss than previously.

The first level of digitalisation maturity means that the manufacturers measure performance in real time and discover problems, thus reaching increased productivity and cost savings.

The second level: Development and optimisation

By the companies at the second level of digitalisation, manufacturing procedures transform. A leap forward is taken in the efficiency of decision making, as on this stage, management decisions are based on the analysis of real data and the survey of interrelations among them. On this level of maturity, the measurement and analysis of several parameters are happening in such a way, that not only conclusions can be drawn, but forecasts can also be made. A typical example for this is the so called “predictive maintenance” in the case of which intervention is not only happening when a piece of equipment malfunctions, but, with the analysis of data from various sensors, the possibility of future malfunction is forecast. This way, unexpected shutdowns can be avoided, or maintenance can be scheduled for the time of a shutdown planned for any other reason.

With the help of the so called machine learning, companies can reach significant results in the field of overall device efficiency. In this case, an artificial intelligence seeks patterns in the collected data. Through this, such interrelations can be discovered that would not have been able to be mapped and included in the production process by the use of human resources.

The third level: Innovation

The third level of industrial digitalisation means the full integration of corporate processes. In this phase, not only manufacturing is digitalised, but beside this, several other business procedures and applications, such as CRM, ERP and logistics systems work in collaboration and communicate with each-other. For example, procurement of raw materials, or even human resource management and production scheduling is done automatically on the basis of actual output and performance manufacturing machinery. Pricing decisions as well as product development is based on the analysis and forecasts of data drawn from the complete production process.

We can talk about not only the integration of processes, but also the “smarting” of end products, innovation and contribution to the full production. For example, there is such an automotive manufacturer who equips its products with sensors and does product development as well as offers replacement parts and maintenance services proactively on the basis of their actual running performance.

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