LS Industrial Systems (LSIS) has optimized research and development (R&D) by adopting the front-loading process, a key concept in digital engineering that can reduce R&D time and cost before manufacturing. After the adoption of digital engineering including the C4 — computer-aided design (CAD), computer-aided engineering (CAE), computer-aided manufacturing (CAM), and computer-aided typesetting (CAT) — in the early 2000s, LSIS made attempts to improve the overall efficiency of R&D and product quality. However, without a high-performance computing (HPC) resource, analysis of complex physical phenomenon with limited computer-assisted engineering was time-consuming.
To solve this, LSIS implemented a public cloud-based CAE platform in 2017. As a result, optimized product design and performance validation were made possible by using HPC to analyze physical phenomena such as electromagnetic field, thermal flow, and structural analysis. Using a public cloud–based CAE platform has saved LSIS massive costs versus investing and managing a dedicated HPC. Analysis of workloads has led to a direct improvement in productivity and significant reduction in product development life cycles.