GlaxoSmithKline (GSK) implemented Aspen Mtell® to increase the robustness of their pharma supply chains by preventing unplanned production downtime.

The pandemic heightened the need for agility and resiliency within the supply chain. Speed to market remains a top business imperative as we move into the next normal for pharma.

Learn how to gain new insights into supply chain data with industrial AI.

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Equipment failures, process disruptions and the resulting unplanned downtime are costing industrial manufacturers an estimated $50B USD every year. With prescriptive maintenance, companies can recognize precise patterns in operating data, predict asset failure and recommend corrective action.

Forbes - Companies Improve Their Supply Chains With Artificial Intelligence

Move away from a traditional preventative or a “just in case” maintenance program to a predictive and prescriptive program that leverages AI and machine learning through digitalization, in line with the ISPE’s Pharma 4.0 initiative.

Feche a lacuna entre planejamento e operações reais com a Aspen Generic Dynamic Optimization Technology (GDOT). Aspen GDOT™ alinha os objetivos de planejamento e programação, otimizando e coordenando dinamicamente várias unidades de processos em tempo real para garantir os melhores resultados econômicos em toda a unidade de forma consistente minuto a minuto. Baixe a brochura para descobrir como as empresas estão minimizando as perdas de produção, aumentando a produtividade, melhorando os rendimentos e muito mais!

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.

Achieving Sustainable Operations in Capital Intensive Industries