Learn how acceptance sampling improves quality control by evaluating random samples. Discover its methods, benefits, and historical significance in manufacturing.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Learn how a move from time-based filling to precision flow meters improved batch accuracy by 98% and increased daily throughput by 14%. Understand how flow measurement improvements create ripple ...

Upstage’s Groundedness Check service provides a powerful API for verifying that AI-generated responses are firmly anchored in reliable source material. By submitting context–answer pairs to the ...

I started using APL for data analysis around 1972. The powerful language, based on a 1962 book by Ken Iverson, A Programming Language, was and is notable for three things: its use of Greek letters and ...

In the first months of his administration, President Donald Trump repeatedly threatened due process, a fundamental principle enshrined in the U.S. Constitution. His attacks have spanned from the ...

Senior Director of Operations MS&T, Pharmaceutics International, Inc. (Pii) What happens when a life-saving drug is delayed not because of science, but because the industry can’t keep up? That’s the ...

Abstract: This paper proposes a novel approach for modeling and scheduling of flexible multi-batch processes (MBP) by using timed Petri nets (TPN) and Monte-Carlo Tree Search (MCTS). A TPN-based ...

Continuous processing can get products to market about 12 months faster than batch processing, according to a 2022 paper by the FDA. Understandably, the drive to transition to continuous bioprocessing ...

Continuous manufacturing (CM) has become a contentious topic in the modern pharmaceutical lexicon, driven by divergent definitions—from perfusion and flow chemistry to fully integrated systems. In ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...