In Production Systems Engineering there are many different disciplines like mechanical, electrical or software engineering involved. Throughout the engineering process, different phases can be identified where the domain experts often depend on results from one another. The interaction between the different disciplines is identified as multi-disciplinary round-trip engineering environment. To meet the vision of Industry 4.0 a key factor is the representation of relationships between the Product, Process and Resource (PPR). However, many stakeholders only focus on their discipline, forming an information silo. Due to the fact, that PPR knowledge is important but often neglected, this master thesis aims at addressing this issue. A criterion for a good solution is to be able to investigate engineering processes in regard to PPR knowledge and express this newly found knowledge through a modeling language. Existing solutions lack either the depth of analysis or are to narrow on one discipline to achieve this aim. However, useful insights into designing a treatment to overcome this limitation can be used from existing works. Existing modeling languages also have no means to represent PPR knowledge, build however a good foundation for possible extensions. The thesis first proposes a combination of approaches for a new engineering process analysis, by following the design science cycle with an integrated case study. Outcome is an engineering processes analysis method and representation of PPR knowledge through an adapted BPMN 2.0 notation. Second, a literature survey is used to select, benchmark and propose adaptations for a PPR specific modeling language. The main result here is, that the VDI 3682 standard presents the best building block and allows for an easy extension. To also be able to persist PPR knowledge, the thesis investigates how a possible solution could look like. The outcome of this aspect provides useful insights based on current use cases and how system architecture and data/knowledge models represent requirements for a persistence solution. The solution approach is evaluated with a real-world production systems engineering organization and includes a proof of concept evaluation and interviews with domain experts across multiple disciplines. All results improve the explicit representation of dependencies between workgroups, highlighting improvement potential and express PPR knowledge.