Experiments Show ROI of Collecting and Analyzing Big Data in PCB Assembly

By Martin Franke

Data collected from shop-floor drives the MES operation and the material flow. However, the value to this data does not stop there. Digitalization of the operation enables analysis and understanding of what is happening in the factory, why it is happening, and how to improve it.

Although the amount of data generated by manufacturing operations is increasing exponentially, only a small portion of it actually gets collected, and an even smaller portion is analyzed in the electronics industry. In the use case presented in our recent white paper, Improving the PCB Print Process Using Factory Data, we will demonstrate how manufacturers can benefit from collecting this data and applying analytics. The analysis also shows the potential of automated data extraction and preparation, thus giving an process engineer more time caring about evaluation of the data, than preparing it for the evaluation.

Turn big data into smart data

The biggest challenge with collecting data is turning big data into smart data that provides insight or foresight, can be understood as the point of consumption, and is immediately actionable on the shop-floor.

In this new white paper, an experiment is described that demonstrates the real-world ROI for data gathered off the shop-floor. By using the data in a systematic way and analyzing with the business intelligence tools available, manufacturers can take advantage of their data to improve their product and processes today.

Download the full white paper now>>

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This article first appeared on the Siemens Digital Industries Software blog at