Knowledge-based engineering systems are now becoming more commonplace in engineering industry. There is a need to ensure the technology is used correctly and to provide the user with all the possible benefits that the system can offer. This paper looks at how product knowledge can be managed within knowledge-based engineering systems to ensure that the knowledge retains its value and usefulness during the product lifecycle. Presently, the use of these systems has been for the short-term benefit of the company. However, it is believed that it is important to consider longer-term issues also, since knowledge normally has a half-life of around 20 years. The main aim of this paper is to demonstrate the need for product knowledge management within knowledge-based engineering systems by looking at key issues that are related to the longer-term use of these systems. This paper will also provide a product knowledge management scheme for the development and management of product knowledge within knowledge-based engineering systems, thereby extending the benefits of knowledge-based engineering systems into the longer-term.
LOng Time Archiving and Retrieval (LOTAR) of models is key to using the full capabilities of model-Based System Engineering (mBSE) in a system lifecycleincluding certification. The LOTAR MBSE workgroup is writing the EN/NAS 9300-Part 520 to standardize the associated process, in the aeronautics industry, and suggests the usage of Modelica, FMI and SSP standards for its purpose. Acceptance of such a process requires a match between industrial needs and software vendor implementations. This is helped by a tool-agnostic implementation of the process and following specific adaptations within the Modelon Impact software. This initiativeinside the LOTAR workgroupshighlights the suitability of such a process but also points at flaws or overhead due to the lack of connection between the Modelica, FMI and SSP standards, as well as the MoSSEC (ISO 10303-243) standard. The recommendations proposed in this document could have a significant impact on the final adoption of the LOTAR standardrelying on Modelica, FMI and SSP standards.
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