Abstract: Simulation models often have many input factors, and determining which ones have a significant impact on performance measures (responses) of interest can be a difficult task. The common ...

Design of Experiments (DOE) is a methodology misunderstood by many, understood by some, and actively used by even fewer than that. Wherever it does get used, though, it has the ability to completely ...

Flexible and accessible design of experiments in Python. Provides industry with an easy package to create designs based with limited expert knowledge. Provides researchers with the ability to easily ...

Abstract: The optimization of cooling systems is important in many cases, for example for cabin and battery cooling in electric cars. Such an optimization is governed by multiple, conflicting ...

After nearly three decades, the era of copper interconnects may be coming to an end. Sort of. At interconnect CDs below 10nm, copper is no longer the best metallization choice. Yet it remains ...

While companies have been “unbundling” their operations and outsourcing tasks for decades, advances in IT are now helping them take that strategy to a whole new level. These technologies make it ...