Live Webinar

AI in APC: Deep Learning for Aspen DMC3™

In changing, volatile times, process manufacturers must find new ways to manage demand, improve production and maximize margins. Advancements in artificial intelligence (AI) are giving operators new insights to anticipate issues and make smarter, faster decisions.

Live Webinar

How Ferring Automates Product Quality Control with an Online Spectroscopy Model

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.

Whats New

Delivering higher levels of profitability and sustainability with Industrial AI. We embed AI into our most widely adopted, industry-leading products and solutions, and empower data scientists to collaborate with domain experts to enrich models.

Camo Analytics

Camo Analytics Welcome

On Demand Webinar

Better Reaction Monitoring

While traditional reaction monitoring strategies have been effective at maintaining process safety and consistency, new developments are driving additional benefits like increased speed to market, reduced costs and optimized operations. Join our PAT experts and special guest Doug Hausner Ph.D. Senior Manager, Continuous Manufacturing at Thermo Fisher Scientific in an inspirational discussion on how organizations are benefitting from modernized operations.

On Demand Webinar

Better Blend Monitoring

If faced with inhomogeneous blends, manufacturers lose money and valuable time. Not to mention the possible risks of reblends and regulatory citations.

On Demand Webinar

Better Batch Monitoring

Batch processing requires supremely accurate monitoring to ensure successful batch completion. In the case of deviations, the ability to prevent unwanted process behavior from happening is critical to ensure successful batches. The Camo solution for batch monitoring uses batch trajectory trending with smarter deviation detection to anticipate the process flow, so operators have time to act and can stay on top of production to ensure product quality and reduce waste.

Blog

Expanding the Application of Industrial AI

V12.1 enables companies to achieve profitability and sustainability goals by embedding Industrial AI into our solutions to support a new era of autonomy and sustainability.

Case Study

Japanese Pharmaceutical Company Improves Quality with Aspen Plus<sup>®</sup>

A 140-year-old global pharmaceutical company with headquarters in Japan adopted Aspen Plus to improve the synthesis of a new active pharmaceutical ingredient (API). Aspen Plus provided an in-depth understanding of a new API process leading to equipment improvements and optimized recipes that enabled development of a continuous process.

Case Study

GlaxoSmithKline Speeds up Batch Release Time: A Study in Digital Transformation

GlaxoSmithKline (GSK) wanted to review the structure of its batch production record and associated workflows as part of a continuous improvement process. Reducing batch review time usually results in faster batch cycle time, meaning higher throughput at the production facility and faster cash-to-cash cycle time. AspenTech was selected for this process due to integration with other solutions, such as Aspen InfoPlus.21® and GSK’s existing plant automation software (DCS). The pilot project was a resounding success, reducing order preparation time by 95% and record review time by over 50%.

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