4 Phases to success
We have just published our latest software release and can significantly improve our customer relations on the basis of the newly developed technologies.
Especially projects that do not comply with the standard will benefit from the changes.
The implementation of a QASS process monitoring system then runs in four phases.
Phase 1:
We gather the process information and form a project team of 2-3 process and data analysts, including the user’s experts.
Here the 1st customer meeting takes place.
We define the project goals together with the user’s experts and carry out an initial design of the sensor technology and process communication.
If all goals seem to be achievable, they are defined as milestones and the project starts.
Phase 2:
During the next two weeks we install the QASS measurement technology with the selected sensors and collect the raw data of hundreds or thousands of process cycles.
Phase 3:
In the following two weeks the team programs the evaluation operators based on the acquired data and designs special evaluation algorithms by script programming.
The visualization and user interface is designed in parallel with the evaluation algorithms and is precisely adapted to the data and process requirements.
The analysis programs can now monitor the process and, if intended, distinguish between good and bad processes.
The measurement concept is ready.
Here the 2nd customer meeting with the presentation of the results takes place.
Phase 4:
In the following two weeks the analysis and visualization programs are tested under production conditions.
The team checks whether process monitoring or component, machine or tool evaluation is working optimally.
In the concluding 3rd customer meeting it is clarified whether the targeted milestones have been achieved to 100%.
If yes, we are happy about a successful project, if not, we take the measuring device back.
Project finished:
Invoicing is usually only done after a successfully completed project.
In this way we minimize effort and risk for our customers, even in projects with new measurement and analysis approaches.
When implementing our measurement technology in already known production environments, our teams only carry out adjustments of the parameterization or optimize visualization and operation, so that the time required will be only hours or a few days.
