Not rocket science! How to produce in compliance with GDPR

Published:
1.7.18

MES solutions from gbo datacomp are optimally prepared for the DSGVO Augsburg, 26.06.2018 The General Data Protection Regulation (GDPR) places special requirements on manufacturing execution systems that collect, process and store personal data. Die MES solutions from gbo datacomp are well prepared for this. Due to their modular structure, they can not only be individually tailored to the needs of the manufacturing company, but the MES data processing can also be easily adapted to the requirements of the GDPR so that personal data can be used responsibly and in accordance with the law. Personal data is not only used at the ERP level. If machine data is linked with other information, such as the shift schedule, personal data is also created that falls under the GDPR. Personal data is processed at the shop floor level, in particular as part of quality assurance and documentation. In addition, manufacturing companies in Industry 4.0 are striving to increasingly individualize manufacturing. It is obvious that this necessarily creates personal data. Together with its customers, gbo datacomp ensures the GDPR-compliant use of such data with its MES solutions, for example by documenting data processing processes in detail. At the same time, gbo datacomp uses the documentation to monitor such processes so that only data is collected, processed and stored that the respective company actually needs. In addition, gbo datacomp's multi-client MES applications allow you to specify exactly which employee has access to which data. Access rights can be easily adjusted at any time, for example when an employee leaves, joins or changes work areas. State-of-the-art security measures ensure that there is no unauthorised access to sensitive data. “As an expert in modular MES applications, we have many years of experience in handling sensitive data,” says Michael Möller, managing director of gbo datacomp. “The GDPR certainly places high demands on manufacturing companies, but with a strong MES partner at their side, they are not only solvable, but can even increase efficiency if unnecessary data is not collected in the first place and the respective employee immediately recognizes the status of their machine at a glance, for example. ”