Improved Multidisciplinary Optimization and its Practical Usage at Porsche AG
In the automotive industry, the simulation-based design and optimization of vehicle structures needs to combine requirements from a number of different engineering disciplines. Multidisciplinary optimization (MDO) is a term that is used to summarize approaches that aim at integrating all relevant disciplines and finding optimal compromises between them. Due to [...]
ThyssenKrupp uses ClearVu Analytics
ThyssenKrupp AG applies divis’s Data-Mining-Software ThyssenKrupp Industrial Solutions’ business unit ‘Process Technologies’ uses divis’ data mining software for data-driven modeling. The business unit is responsible for planning and building chemical plants. The aim is to better and faster determine the patterns of cause and effect within chemical processes and to [...]