New integration and patterning schemes used in 3D memory and logic devices have created manufacturing and yield challenges. Industrial focus has shifted from the scaling of predictable unit processes ...

Robust dynamic optimization has become an indispensable tool in addressing the inherent uncertainties present in chemical process modelling and control. By integrating optimisation routines with ...

In this article, as in industry, advanced process control (APC) refers primarily to multi-variable control. Multivariable control means adjusting multiple single-loop controllers in unison, to meet ...

The development and production of biologics can be a complex process. And the manufacture of biopharmaceuticals requires that processes be developed and validated so that product specifications can be ...

Antibody purification evolves with diverse formats, driving tailored chromatography solutions for efficiency, scalability, ...

In this article, as in industry, advanced process control (APC) refers primarily to multi-variable control. Multivariable control means adjusting multiple single-loop controllers in unison, to meet ...

In this webcast, Catalent will share a case study of a monoclonal antibody (mAb) from clinical to commercial phase under a highly compressed timeline. Process characterization and validation is an ...

Drug companies want to make products as quickly and efficiently as possible. The faster and more cheaply a medicine can be manufactured, packaged, and brought to market, the higher its revenue ...

PROCESS IMPROVEMENT TOOLS AND METHODS AI holds transformative potential across Army operations—from logistics and maintenance ...