Pharma and biotech companies face a pivotal next step in addressing the increased complexity of production while balancing mounting cost pressures with the need to ensure product quality, security of supply and regulatory compliance. Findings from AspenTech® and Longitude’s recent market survey revealed that digital culture and technology adoption provide a competitive edge – but adoption is slow.

In part two, we discuss FMEA as a strategy component for optimizing asset performance and availability.

Prescriptive maintenance technology is transforming how companies increase asset availability. With more advance warning of equipment failures comes more opportunity to mitigate the negative impact of those events.

Our APM team curates highlights and insights from OPTIMIZE 2021 available on-demand.

FP Corporation (FPCO) is Japan’s largest manufacturer of food containers and a logistics service provider delivering a range of products to stores engaged in food distribution. They needed to provide stable and responsive food distribution in an efficient and environmentally friendly way.

La ingeniería de datos (ingeniería de características), clasificación de estados y selección de modelos pueden ser tareas complejas y consumen gran parte del tiempo de los equipos de ciencia de datos. Si bien la creación de herramientas particulares suele ser el primer instinto, hay que tomar en cuenta que las aplicaciones actuales de Gestión del Desempeño de Activos (APM) que cuentan con experiencia industrial, pueden ayudar a los científicos de datos a acelerar estos procesos para diseñar y escalar nuevas soluciones rápidamente.

Feature engineering, state classification and best model selection can be complex, time-consuming tasks for data science teams. While building customized tools is often the first instinct, today’s Asset Performance Management (APM) applications with built-in industry expertise can help data scientists speed up this process to rapidly design and scale new solutions.

Engenharia de recursos, classificação de estados e seleção do melhor modelo podem ser tarefas complexas e demoradas para as equipes de ciência de dados. Embora a construção de ferramentas personalizadas seja muitas vezes o primeiro instinto, as aplicações de hoje de Asset Performance Management (APM) embutidas com expertise industrial podem ajudar os cientistas de dados a acelerar o processo de projetar e dimensionar novas soluções mais rapidamente.

The Aspen Industrial AI Workbench combines analytics libraries and a production-grade AI collaboration environment to empower both domain experts and data scientists.

The sum of the preventive, predictive and operational risk layers in a layered defense strategy provides more complete asset performance management and risk protection — easier, cheaper and faster.