在当今多变的环境中，矿山需要提升设备预测性维护的效率和价值，以 避免生产损失，降低维护成本。但什么样的预测性维护解决方案才是有效的呢？要如何证明投资的合理性？

Designing and validating the hydraulics of a flare system for the safe process of multiple systems can be challenging. This webinar highlights flare best practices and new features in the latest version of Aspen Flare System Analyzer.

During this webinar, Tami and David will walk you through all the exciting new features of the Aspen Plus family of products, including the newest feature – Column Hydraulics. This interactive tool helps new and experienced engineers troubleshoot operational issues with enhanced calculations and visualizations.

J.M. Huber has been leveraging Aspen Collaborative Demand Manager™ to improve forecast accuracy for over 3 1/2 years. During this webinar, Deborah Morris, supply chain process improvement and demand planning manager at J.M. Huber, will share how they evolved their demand planning process, leveraging demand segmentation analysis and other advanced forecasting techniques. The company also worked closely with the sales organization in a coaching and advisory capacity.

Gain consistent, reliable process design results across your organization with state-of-the-art physical property data. Learn how to leverage Microsoft Excel to deploy properties analysis inside your organization with the Aspen Properties® Excel add-in, providing you with property data right at your fingertips.

Leveraging process modeling tools is vital for accelerating the journey to market for new products, or for optimizing the margins of existing processes. Often, a single tool does not have the capabilities to model entire specialty and fine chemicals processes due to their complexities (batch or mixed batch/continuous, integrated fluid and solid sections, complex reactive systems). As a result, specialty and fine chemicals companies often rely almost exclusively on expensive experimentation and plant trials when innovating their products and processes. View this webinar to learn from AspenTech experts about best practices for end-to-end batch modeling in Aspen Plus.

Neste Webinar, a especialista da AspenTech Fúlvia Borges vai demonstrar como informações para tomadas de decisão embasadas em dados e usando Inteligência Artificial e Machine Learning podem mitigar problemas de manutenção e melhorar produtividade.

While many companies are using PIMS-AO for its performance (parallel processing), solution quality (avoid local optima) and higher model accuracy (non-linear modelling), each one of the Advanced Solution features can deliver significant benefits – boosting your bottom line. Tap into even more benefits with PIMS-AO’s Advanced Solution Features. Join us and see real-world examples of common business processes such as feedstock selection and operational planning.

While most chemical companies have sustainability initiatives in place with varying reliance on digital technologies to achieve these goals, challenges remain. What are the key enablers to eliminate emissions and waste, extend material use and regenerate natural systems? How do new innovations accelerate this effort?

Refiners and chemical manufacturers continue to struggle with margin leakage due to gaps between planning and operations. Innovations in modelling and optimization technology now enable you to coordinate and optimize multiple process units in real time to ensure the best site-wide economic benefits—and do it on a consistent, minute-by-minute basis.