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 und...Case Study
Ferring Pharmaceuticals, a multinational biopharmaceutical company, needed a solution that would enable faster commercialization, more cost-efficient production and reduced supply lead time while main...Case Study
Pfizer enhances new process development by coupling computational exercises with experiment planning, execution and revision. Learn how the visualization of process design can guide experimentation an...On Demand Webinar
Today’s pharmaceutical manufacturers face increasing pressure to deliver high-quality medicines quickly, efficiently and economically while complying with regulatory requirements and meeting sustainab...Video
How are you keeping up with growing demand? Digitalize batch execution and records with Aspen Production Execution Manager™ to accelerate time-to-market with accuracy while maintaining regulatory comp...Interactive Infographic
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 do...On Demand Webinar
Managing the master schedule for pharmaceutical production is like riding a roller coaster — with both calm periods and high-velocity swings. It requires making complex decisions daily in response to ...On Demand Webinar
In this interview, Cade VanRooyen describes the complex decisions master schedulers face and how digital scheduling solutions can significantly improve the consistent on-time delivery of life-saving m...Interview with an Expert
Building resilient and future-proofed supply chains require implementing technology that can bring people and processes together. Industrial AI can play a role in both alleviating current supply chain...Article
GlaxoSmithKline (GSK) implemented Aspen Mtell® to increase the robustness of their pharma supply chains by preventing unplanned production downtime.Case Study
Did you know that more than 80% of equipment failures in manufacturing are caused by human error or adverse operating conditions rather than time-based wear and tear? That’s why pharmaceutical compani...On Demand Webinar
Achieve resilient operations by evaluating optimized downtime scheduling options to minimize impact on production and order commitments. Watch this video to learn how to leverage prescriptive maintena...Video
This report covers results from a survey of 400 pharma industry professionals across the US and Europe on the future of digital transformation and manufacturing. The quantitative survey was complement...Report
Axendia conducted a research study to explore the state of digital transformation in pharma manufacturing. The goal of the project was to better understand current drivers for digital transformation i...Report
No longer just a catch phrase, digital transformation in pharma manufacturing is more critical today than ever before — and the industry is getting on board. A recent study conducted by Axendia reveal...On Demand Webinar
Pharmaceutical companies continue to face a complex landscape. Geopolitical tensions and the pandemic have disrupted supply chains, and yet expectations for increased speed to market are higher than e...On Demand Webinar
In the pharmaceutical industry, equipment failures, changing operating conditions and other unexpected occurrences can cause batch failures, resulting in costly production losses and disruptions to su...White Paper
Pharmaceutical companies, CDMOs and CMOs continue to grapple with the tension between meeting the demand for increasingly diverse pharmaceutical products and the escalating challenges in ensuring supp...White Paper
The COVID-19 pandemic highlighted the need for agility and resiliency within the supply chain for pharmaceutical companies. It is clear that speed to market will remain a top business imperative as w...Executive Brief
Digitalize batch execution and records to accelerate time-to-market with accuracy while maintaining regulatory compliance.
Get early and accurate warnings on process health deviations with insights to prevent off-spec product, maintain efficiency and rapidly optimize operations.
Receive early and accurate warnings of product health issues to improve product quality, reduce waste and support PAT, in compliance with regulatory requirements.
Model, predict and optimize processes using multivariate statistical analysis and interactive visualizations.