simulationsupport

Simulationsupport is the set of capabilities that enable effective use of computer-based simulation across disciplines. It encompasses people, processes, and technologies that help design, run, analyze, and maintain simulation studies. The aim is to make simulation workflows reproducible, scalable, and aligned with decision-making needs.

Technical infrastructure includes computing resources such as local clusters, workstations, or cloud environments, software platforms for modeling and analysis, data storage, and workflow orchestration tools. Operational activities cover environment provisioning, model versioning, experiment tracking, data management, and quality assurance through verification, validation, and documentation. Personnel involved include simulation engineers, model developers, data scientists, IT staff, and technical writers who provide training and user support. Service models range from internal center-led programs to third-party consulting and managed services.

The typical outcomes are shorter development cycles, improved reliability and maintainability of models, transparent provenance, and the ability to run multiple scenarios rapidly. Simulationsupport is used in domains such as aerospace and automotive engineering, energy systems, manufacturing, life sciences, weather and climate research, and finance, often in the context of digital twins and decision support.

Common challenges include security and licensing considerations, interoperability between tools and data formats, data governance and privacy, and keeping models up to date with changing requirements. Organizations pursuing simulationsupport invest in governance, documentation, and training to foster reproducibility and collaborative work.