Manufacturing systems engineering projects depend
on contributions from several engineering disciplines.
These contributions consist of complex artifacts like
mechanical, electrical, and software components and
plans. While the software tools are strong in supporting
each individual engineering discipline, there is very little
work on engineering processes automation across semantically heterogeneous engineering tool data models.
In this paper, we adapt the Engineering Knowledge
Base (EKB) concept, a semantic model, which extends
the Global-as-View concept and explicitly models common engineering concepts and mappings using machineunderstandable syntax, for the engineering of manufacturing systems. We evaluate the concept based on a realworld use case for data exchange between software tools
involved in the engineering of a manufacturing system
software simulator. Major result is that the EKB concept
sufficiently supports the semantic interoperability of
tools to enable the automation of engineering processes.