This panel discussion reviews how digitalization, an important component of Pharma 4.0, will connect multiple sources of data to establish new levels of transparency and speed for a SMART manufacturing process.

As it relates to asset reliability, Failure Modes and Effect Analysis (FMEA) is a process to identify potential failures in a system as well as their causes and effects. By combining predictive maintenance technology with FMEA tools, companies can associate causation with known failures and their suggested FMEA remedies – leading to earlier intervention, minimized equipment damage, fewer process interruptions and improved production yields.

Increasingly, the conventional ways of maintaining pharmaceutical equipment call for a digital alternative. Non-wear-based failures such as operating excursion and changes in operation plans make up to 80% of equipment failures. By embracing Pharma 4.0—including today’s predictive and prescriptive maintenance technologies—you can mitigate unplanned downtime, improving production and accelerating your critical time-to-market goals.

Speed to market remains a key driver for the digitalization of long-standing paper-based processes in drug manufacturing. Bottlenecks such as manual execution and review—all associated with bloated documentation—prevent companies from aligning with the FDA’s vision for advanced manufacturing to achieve continuous improvement. Manufacturers like GlaxoSmithKline (GSK) are embracing Pharma 4.0 and paperless technologies to help bring quality medicines to patients more quickly.

Pharma companies continue to strive for tight control of critical quality attributes (CQAs). When Ferring Pharmaceuticals wanted to move from batch to continuous manufacturing, they found that laboratory assays were too time consuming to provide meaningful feedback for real-time control, and 100% product quality inspection was not possible.

Volatility in today’s markets is driving innovation across the Asset Performance Management (APM) space, demanding new levels of operational excellence and more dynamic approaches to achieve company goals. A holistic solution looks beyond just optimizing maintenance processes to deliver Financially Optimized Asset Performance. AspenTech refers to this as Autonomous Reliability.

Los eventos inesperados pueden perturbar las operaciones y crear problemas prolongados de calidad y seguridad. Los operadores de primera línea pueden estar mal equipados con las herramientas o habilidades para analizar y rectificar rápidamente las perturbaciones. Afortunadamente, las nuevas aplicaciones de IA industrial ofrecen análisis y visualizaciones avanzadas para ayudar a los equipos a actuar rápidamente.

Warnings and alerts are not new in the industrial world as some predictive alerts can provide months of warning of catastrophic events. The challenge is how to prioritize and respond to these predictive alerts in a more systematic manner that benefits all areas of an organization.

The ability of bio-pharmaceutical manufacturers to deliver quality drug products during challenging market conditions is critical for ensuring sustainability over the long run. The COVID-19 pandemic underscored the need to transform the traditional bio-pharmaceutical supply chain to have greater agility and resiliency during market swings and periods of volatility.

This on-demand webinar explains the results in the State of Industrial AI 2021 research report.