Become more process-aware and improve your understanding of how organizations use business processes to enhance operational effectiveness. In this course, you’ll learn how successful business analysts ...

In an era where artificial intelligence, autonomous vehicles, and high-performance computing push the boundaries of ...

Xie also notes that uncertainty analysis could provide a science-based understanding that guides reliable discovery and manufacturing process development and ensures product quality consistency ...

A second example of early adoption is found in the work presented by Marta Moreno-Benito (Pfizer), et. al.(4).Moreno-Benito developed an end-to-end model from drug substance manufacture to drug ...

The Bullitt Center was designed with energy modeling software. Image Courtesy of Bullitt Center. The report found that projects using energy modeling software in 2014 met or exceeded the 60% ...

Virtual semiconductor process modeling is an alternative method to investigate metal line design options at a much lower time and cost. References [1] Liang Gong Wen et al., “Ruthenium metallization ...

Model-predictive design—used to define, predict, and control a process—is well established in many industries and is beginning to take hold in pharmaceutical process-development and manufacturing.

Xu Hao uses the color modeling technique to analyze a domain, identifying the events to be traced and their corresponding moment-intervals, then the domain entities and the role they play.

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis ...