Pharma 4.0 News

Technical

Three case studies on Validation 4.0 demonstrate how quality by design (QbD) principles, when applied with digitization, can verify processes in scale-up and technology transfer, and why blend and content uniformity matter for tablet integrity.

Features

This second of a two-part series explores digital transformation and digitalization in the biopharmaceutical industry with information about how data science enables digitalization along the product life cycle. (Part 1 was published in the March-April 2021 issue of Pharmaceutical Engineering.Herwig, C., et al. “Data Science for Pharma 4.0™, Drug Development, and Production—Part...

Online Exclusives

Robotic process automation (RPA) software automatically handles manual, repetitive, time-consuming, and highly structured tasks such as data entry and back-office functions. Certain processes specific to the pharmaceutical industry represent strong candidates for RPA implementation, with significant potential savings and the possibility of ensuring compliance.

Online Exclusives

Industry 4.0 is the recent movement toward intelligent automation technology. In this new era, the integration of modern manufacturing skills and novel information technologies plays an important role on economic competitiveness.Zawadzki, P., and K. Żywicki. “Smart Product Design and Production Control for Effective Mass Customization in the Industry 4.0 Concept.” Management and...

March / April 2021
The ISPE Pharma 4.0™ Special Interest Group (SIG) launched in 2015 to provide a road map for new challenges of digitalization, Industry 4.0, and the smart factory. The SIG addresses how pharmaceutical industry stakeholders, including regulatory authorities, can achieve benefits from Pharma 4.0™ initiatives.
Features

Across every industry today, digitalization is driving the use and value of data to disrupt traditional business models and ways of working. In pharmaceuticals, the promises of Industry 4.0 are expected, and needed, to finally modernize the legacy approaches that have evolved since the 1970s. Validation is an obvious target for digital disruption because of the inefficient, document-heavy...

Features

Digital transformation and digitalization are on the agenda for all organizations in the biopharmaceutical industry. But what are the main enablers of intelligent manufacturing? We hypothesize that data science–derived manufacturing process and product understanding is the main driver of digitalization in the bioprocessing industry for biologics manufacturing. In this article, the first of a...