Simulation-Based Multi-Organization Engineering

As systems become more complex and supply chains more intricate, simulation becomes indispensable to avoid integration problems. In the context of an exchange between OEM and supplier, effective communication between OEMs and suppliers is crucial to ensure accurate and reliable simulation models. However, current practices often rely on informal exchanges—through emails, meetings, or unstructured documents—which can lead to misunderstandings, incomplete specifications, and errors in model integration. These issues are further amplified by the difficulty of maintaining traceability across the model lifecycle, the lack of formalized processes for verification and validation (V&V), and the challenge of assessing model fidelity when simulations are shared as black boxes.To address these challenges, the white paper introduced the foundation to formalize and streamline the model exchange process. A tool-based process is proposed to enhance simulation-based collaboration between OEMs and suppliers. The framework focuses on improving the specification and fidelity assessment of simulation models through structured and repeatable processes. Key elements include a 24-point checklist that guides the completion of model specifications and the use of a Model Identity Card (MIC-core) to standardize the description of the model. This helps ensure that both parties share a clear understanding of the model’s purpose, scope, and underlying assumptions.In addition to specification improvements, the methodology emphasizes the characterization of model fidelity. A structured questionnaire, organized around six key dimensions, is used to evaluate critical aspects such as model robustness, experimental validation, and consistency with real-world conditions. This process helps both the supplier and the OEM verify that the model aligns with system requirements and is suitable for its intended use.By implementing this framework, misunderstandings between stakeholders are minimized, and the OEM gains greater confidence in the accuracy and reliability of supplier-provided models. The document also demonstrates the methodology’s practical application through a fuel cell use case, illustrating how the proposed tools and processes can be adapted to real-world industrial contexts.