{"id":3048,"date":"2020-10-29T16:34:10","date_gmt":"2020-10-29T14:34:10","guid":{"rendered":"https:\/\/www.digifai.com\/neues\/why-digitalize-and-automate-production-data-acquisition-advantage-through-digital-knowledge\/"},"modified":"2025-06-13T09:00:45","modified_gmt":"2025-06-13T07:00:45","slug":"why-digitalize-and-automate-production-data-acquisition-advantage-through-digital-knowledge","status":"publish","type":"post","link":"https:\/\/www.digifai.com\/en\/neues\/why-digitalize-and-automate-production-data-acquisition-advantage-through-digital-knowledge\/","title":{"rendered":"Why Digitalize and Automate Production Data Acquisition? \u2014 Advantage Through Digital Knowledge"},"content":{"rendered":"

[vc_row padding_top_multiplier=”4x” padding_bottom_multiplier=”4x” section_id=”introtext”][vc_column][vc_column_text]Why is production and machine data acquisition even necessary? Companies, factories, production lines, machines or plants have one thing in common. Generating a positive return is only possible if smooth operation with the highest possible utilization is ensured. Any downtime, whether minor or significant, will inevitably result in financial losses.<\/p>\n

At management level, it is considered a matter of routine and of course regulated by legal provisions that, for example, accounting is required. On the production level, in the operative areas of many companies, the processes are often controlled using a mix of gut feeling, estimates and experience. Such an arrangement requires professionals with a lot of expertise, experience and often a great deal of commitment to handle sudden inconsistencies in the process. Seen the other way round, the success of the business depends on how well and for how long these skilled professionals and their exceptional commitment are available to the company. An incident may mean a lockdown in the entire process or require a lot of financial effort to get back to the desired results.<\/p>\n

Of equal importance is the data exchange between the company’s management and production levels. If this is done on the basis of estimates and past experience, detailed capacity utilization control and cost-oriented planning or calculation is difficult to carry out. A solid database for operating data provides current actual data from the process, makes procedures transparent and ultimately creates knowledge – digital production knowledge. And knowledge is capital, which in turn can be used more effectively than in coping with “provoked” failures.[\/vc_column_text]

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What Can Be Achieved With PDA?<\/h2>\n

A modern production data acquisition system with suitable interfaces automates data acquisition, includes the machine data and serves as a connective platform to link the company management level with the production level. The constantly available database built on real actual data enables decisions to be made in the “now” and offers very good data quality for analyses or future forecasts. Where in the process chain can effectiveness or efficiency be increased? Production data acquisition makes the process flow transparent and immediately reveals weak points. Based on the recorded data values, a wide variety of evaluations can be carried out in multi-layered reference variables such as time scales or locations. Reporting such as shift, daily, weekly or monthly reports with the usual key figures on performance, quality up to the overall plant effectiveness in process chains is digital and automated.<\/p>\n

As long as everything runs like clockwork, it is not absolutely necessary to react and rearrange the process. This changes very quickly if unforeseen events such as machine breakdowns, lack of work or a large order put a strain on the process flow. In such cases, decisions must be made quickly and reliably. With digital production data acquisition, the actual key figures and production performance are perfectly clear. Wherever something has to be compensated for, it can be controlled in a targeted manner, for example by deploying personnel. For the future and the production processes of tomorrow, automated production data acquisition is absolutely essential. Times are changing, production must be able to handle smaller batch sizes, products are becoming more individual and have to be available faster.<\/p>\n

Today, we are already talking about automated workflows and interrelated production lines (cyber-physical systems), whose processes are even supposed to regulate themselves. Numerous technologies such as IoT platforms, digital twins, artificial intelligence and cloud applications are available for this purpose. These technologies require data as a basis for their application. Cooperation between man and machine requires collaboration, as provided by the corresponding interfaces for digital data acquisition.[\/vc_column_text]

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Where Does It Make Sense to Digitalize and Automate PDA?<\/h2>\n

Every investment and change in organization must bring improvement and appropriate benefits. The investment in an automated production data acquisition is worthwhile if:<\/p>\n