In this interview style video learn how mining solutions allow mine designers, process engineers and mine leadership to replicate their mine digitally, run what-if analysis and simulation on various changes they’d like to execute on and gain insights into the effects those changes will result in.

领先的资产密集型公司正在使用人工智能和机器学习支持的规范性维护，以释放资产中未被捕获的价值和生产力。使用可扩展、易于实施的规定性维护解决方案，公司可以提高故障检测的准确性，延长资产停机事件的提前通知期，并减少维护开支。

AspenTech celebrated Pride as a company for the first time this year. Our LGBTQ chapter lead reflects on the experience in this blog.

2022 Top Supply Chain Projects

2020 Green Supply Chain Award

AspenTech Awarded Green Supply Chain Award Two Years in a Row

For industrial organizations, IoT sensors can offer unprecedented insight into what's happening inside vats, pipelines and manufacturing processes. Insights such as temperature, flow rates and chemical composition can be measured against infinite variables, and even captured and analyzed in real-time to discover new opportunities…and potential problems.

Recently AspenTech and the ARC Advisory Group conducted a study on the circular economy among industrial manufacturers. Early results indicate that complex supply chains and proven technologies are the most significant barriers to achieving circular economy goals with 75% of respondents believing digital capabilities are essential.

Aspen Refinery Multi-Blend Optimizer is a multi-blend optimization tool that can be used for seamless scheduling and optimization of product blending.