Yes, there is: Dedicated software for monitoring process quality increases the transparency of the production process. The software makes it possible to digitally map and analyze manufacturing processes and take appropriate measures for boosting product quality.
To analyze this wide range of different manufacturing processes you need a common “language” for the process and quality data. This common format needs to be independent both of the process in question and of the software program used to perform the analysis. The great news is: Such a format already exists! The Production Performance Management Protocol already . The Eclipse Unide community, that created the protocol, expanded it now to include a new type of notification: the process message.
What are measurement values and special values?
Measurement values describe the process sequence. They, in turn, are split into phases characterized by special values; for example, values for how long to maintain a certain level of force, or extremes in a defined range. Based on this data, the software can quickly evaluate process quality without having to analyze the entire process curve.
Now, the Production Performance Management Protocol makes it possible to summarize processes in a single message, which the respective Industry 4.0 solution can then work with further. The message abstracts the actual process, e.g. pressing, welding, or tightening, regardless of type.
But which kinds of data does a process message include so that the software can then evaluate as needed? Let’s take the example of a pressing process:
- For one thing, the process message contains information about the device that carries out the process. In this example, this could be information about the press.
- It also contains details about the process itself. This can be program data or shut-off values that determine when the press needs to terminate the process.
- And it delivers information on the finished parts or batches, for example, the ID of a metal part, that has been pressed.
This links the process data to the quality data and ensures a better understanding of the evaluated processes as well as of the correlations between process parameters and product quality.
Structure of the Production Performance Management Protocol process message
How Bosch & Promess are visualizing and evaluating ECU pressing processes
Why does the evaluated process data not need a common point of reference, such as time?
Time references are not strictly necessary for visualizing this data. In contrast, continuous measurement values are always captured in relation to time (e.g. temperature progression of cooling water). As a result, users can correlate non-time-based values (for example, force to position).
The Bosch plant in Ansbach makes electronic control units (ECUs) for airbag, ABS, and ESP systems. Mechatronic presses made by manufacturer Promess assemble the individual components of these ECUs. With the help of the Production Performance Management Protocol data is extracted from the proprietary control units of the presses and sent directly to a software that is evaluating the process and quality data. At Ansbach plant, they use the Production Performance Manager for this evaluation.
Evaluation of pressing processes at the plant in Ansbach. In the software, you can click on the green and red bars at the top and get a visualization of the force/position curves for every single process.
Promess is one of the first machine manufacturers to have independently implemented the Production Performance Management Protocol for process and quality data. This saves the company or integrators for extracting process data for the end user (the plant). The Promess presses now send their data directly to the appropriate software.
- The Eclipse Unide community has developed the Production Performance Management Protocol further.
- It’s possible to easily evaluate process and quality data , get flexible visualization and evaluation of processes now.
- The future of Industry 4.0 is plug & play.
Based on the data from the control units of the presses the ideal form of each process is defined and thus serves as a reference for each and every pressing operation in the plant. The software enables users to evaluate each process directly and immediately based on the complete set of raw process data. Previously, this was possible only by random sampling in the downstream quality assurance phase. Furthermore, the resulting transparency of historical data makes it possible to identify parameters that are critical to the process but have thus far gone undetected.
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