Abstract
Industrial environments — manufacturing, logistics, energy, construction — each carry distinct operational vocabularies: facilities, components, capacity, throughput, dependency. This is a research agenda toward shared ontological patterns across industrial operational systems.
Why industrial systems resist generic modeling
A generic CRM-style data model captures customers and deals well and captures almost nothing about a production line, a supplier dependency chain, or a permit-constrained facility expansion. Industrial operations need ontologies built around their own primitives: facilities, components, capacity, throughput, and physical dependency.
Current direction
We are developing candidate ontological patterns for representing facility capacity, supplier dependency, logistics routes, and regulatory exposure inside one coherent operational graph, so that a question like 'what does an expansion require' can be answered across departments rather than reconstructed by hand.
Status note
This entry is published as a research agenda. It reflects current thinking inside Solomonic Intelligence and is expected to change as it is tested against real institutional environments.