Further insights into the detailed process steps can be found in our download area
You can use the form to request access data for the download area.
To the download area
An analysis of the involved process steps and the resulting data flow
In modern production, individuality, flexibility, and efficiency are decisive factors for success. Plant manufacturers, not only in the automotive sector, must continuously simplify their engineering and commissioning processes to meet these requirements.
An effective and seamless digitization of data exchange throughout the entire lifecycle of a plant enables optimal collaboration among involved stakeholders and is therefore a significant lever for optimization. The DIAMOND project aims to establish a shared, interconnected, cross-domain data model that meets specific industry requirements.
For this purpose, all required process steps (see Figure 1), stakeholders, tools, data formats, and exchanged information need to be analyzed in detail. The results of this analysis were elaborated in detail in collaboration with participants from all process phases (that is the entire value chain network) and correspond to the current state of the art in plant planning and construction. They are provided by the DIAMOND project and licensed under CC BY-SA.
Figure 1: Process overview
For describing processes, interactions and fundamental information artifacts, as well as for discussion based on a graphical representation, BPMN was used (see Figure 2). These representations were complemented by the LIPOK method (see Figure 3), which was used to examine information and data in detail. Figure 2 and Figure 3 illustrate the information obtained, using the PPR model as an example..
Figure 2: Product Process Resource Linkage (PPR)
Figure 3: LIPOK Diagram
From the process analysis, the project partners are now deriving requirements for DIAMOND. The listed software tools and their interactions provide indications of required interfaces for DIAMOND. The current process analysis continues to serve as the basis for formulating target processes that counteract data waste. Additionally, the collection of exchanged information serves as the foundation for deriving the common data model.