It turned out, we were able to distill all the information contained with spreadsheet into about two dozen rules that established whether two parts were “intrinsically compatible” and a few dozen more exceptions to these rules. Our sponsor suggested going to the source (the designers of these parts) and we were able to uncover the simplicity behind the complexity. These were designed in a way that made it possible to drive the configuration rule engines in their ERP system, SAP.ĭuring this time, we had been evolving the knowledge graph representation and beginning to think about the deeper nature of electrical devices. Each spreadsheet had tens of thousands of rows in many tabs. This compatibility information was reduced to a series of quite complex spreadsheets. At that point, a group of skilled engineers would review the specifications and adjust the rules that determined compatibility. The previous approach was to wait until a new line of products was to be rolled out in a particular country. When you are dealing with thousands of volts of electricity, getting it wrong results in buildings burning down, equipment being ruined, and people dying. Configuring industrial electrical devices is complex, and dangerous. This was a follow-on case study where we used product data to drive configuration management.
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