This case study describes how a North American industrial machinery manufacturer modernized its model‑based systems engineering practices to improve efficiency and decision‑making. Despite strong revenue and a global customer base, the company faced challenges from disconnected MBSE tools and real‑time factory data, along with fragmented systems and siloed information across design and manufacturing platforms. These gaps made it difficult to validate designs against actual shop‑floor performance and slowed innovation. The modernization effort focused on integrating models with production data and unifying analytics across systems, enabling better collaboration, faster validation, improved traceability, and more accurate, data‑driven engineering and manufacturing decisions.

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