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Industrial companies are feeling an increasing pressure to adapt themselves to the changing environment. Medium-sized companies in particular are currently facing a wide range of challenges. At the same time, these changes offer enormous opportunities and potential. In order to remain competitive in the future, small and medium-sized enterprises must reposition themselves and face the challenges.
Implementing digital solutions can help companies streamline business processes, increase productivity, and open up new business areas. The step towards a digital future is not too far. The key to increased efficiency and thus increased profit lies in the networking and use of information that is generated daily in every company. The collection of this operating data is a prerequisite for the automation of production control and thus a central step on the way to a smart factory.
(Enterprise-Resource-Planning)
Software solutions for controlling business processes that are used in all areas of operation. It ensures that corporate resources such as capital, personnel and material are provided on time and in line with demand, so that value creation remains efficient and company operations are continually optimised. The aim is to ensure an efficient value creation process and a continuously optimised management of business and operational processes.
(computer-aided manufacturing)
CAM refers to the use of cnc machines independent software to generate the NC code, which controls CNC machine tools. CAM refers to the use of cnc machines independent software to generate the NC code, which controls CNC machine tools. CAM is an essential part of computer-integrated production (CIM) Working on the CAM system does not interrupt the productivity of the CNC machine. Recurring tasks can be completed more quickly by depositing your own functions.
MES are used for operational control of production. The PPS system transfers production orders (debit data) to the MES via an interface. The ODC (operational data collection) collects the production results (actual data) and returns them. By comparing target and actual data, processes can be optimized and errors in the flow can be detected. For production planning, the ERP accesses the MSE and at the same time passes on the production planning to the MSE.
The term operational data collection or sometimes production data acquisition (PDA) refers to the collection and processing of data in machine-processable form from operational production. Correct and up-to-date data from the production process are indispensable for planning by PPS components of ERP systems and by MES. The advancing digitalization enables an automated ODC, at the same time the ODC intervenes more deeply in the processes of different areas in the company. Old machines should not be replaced, but connected in such a way that software can be used effectively to make the collected data usable. Thus, the real value lies in the software. The aim is to gain transparency in order to identify and exploit optimization potentials and thus to make the work of people and machines smart and efficient.
An important data source for operational data collection in production is machine data aquisition.
