The development, manufacture and operation of smart, connected products require closer and more efficient cooperation between the different disciplines and domains within companies and in the extended corporate network. A prerequisite for this are end-to-end, digital business processes and information flows, which in practice need to be supported by a large number of different IT systems. This allows the digital master of the product to be provided with information from different sources that are normally not fully integrated with each other.
Conventional integration approaches make it difficult to ensure end-to-end digitalization in a heterogeneous system landscape that is constantly being expanded to incorporate new tools, e.g. for model-based system development. Replicating all the information objects in the product model via interfaces to the data and process management level (PLM, ERP, etc.) with the aim of linking them there and keeping them synchronized over the entire product lifecycle would make the digital master a cumbersome beast. Users need more agile approaches for harmonizing their everyday work while at the same time ensuring the traceability of the product development process across all disciplines and domains.
All the data already exists, but the necessary knowledge about relations is often missing. It is our view that the conventional bottom-up integration of the authoring systems and the Team Data Management (TDM) systems that support them in the higher-level management layer needs to be replaced by or supplemented with new approaches for linking data at authoring system level. The information in the PLM systems is often not available with the level of granularity needed, for example, to link individual requirements with certain functions or other artifacts. This granularity is, however, important for assessing the full impact of changes – even if every company has a slightly different idea about just how granular the information needs to be.