Machine learning technology can now predict equipment failures weeks in advance. But how do you decide when and how to perform the repair to maximize productivity and minimize risk? In this video, learn how Aspen Mtell and Aspen Fidelis Reliability enable you to quickly evaluate hundreds of possible future scenarios, and understand the financial consequences and risk involved in different operational decisions.

Learn directly from Aspen EDR users across the world about how they benefit from its cost based design optimization capability and its integration with Aspen HYSYS and Aspen Plus.

See how you can incorporate rigorous models of fired heaters within your refinery process flowsheet so as to improve the fidelity of your process.

A 27-year veteran in the refining industry/APC Evangelist describes 4 crucial factors of a successful APC program. This video illustrates why APC is important for refineries and how with the right program in place refineries can maximize their margins.

In a recent interview with Singapore Business Review - Sanjeev Mullick, VP, Regional Sales APAC at AspenTech - shares how Aspen Mtell enables enterprises to adapt in the current volatile environment and move ahead in their Industry 4.0 journey, future plans, and thoughts on winning the SBR Technology Excellence Award for the AI - Manufacturing category.

Maintaining optimal inventory levels to achieve outstanding customer service sounds simple enough, but the timing of customer shipments can have a huge impact on plant storage tank inventory levels.

In just a few minutes, a scheduler can simulate the addition of a last minute customer order, determine its impact, and modify the production schedule to resolve any issues and fulfill last minute orders using Aspen Plant Scheduler.

In today’s ever-evolving global economy, Energy and Chemical companies need to operate with newfound agility to meet market demand and maximize margins. Aspen DMC3 Adaptive Control now embeds powerful AI Machine Learning algorithms to build seed models by simply mining historical data. View this video and learn how you can coordinate multiple APCs in closed-loop and optimize broad envelopes in real-time to align planning, scheduling, and operation, significantly reducing margin leakage and energy costs.

Waymon Lofton, Mike Monteith and Harvey Welker provide compelling testimonials about how AspenTech is driving innovation across the estimating lifecycle.

Data must be prepared for analysis by removing bad values, dealing with missing values, aligning data from different systems and performing any required transformations. The skills for those tasks are anything but common. Automation can play a significant role in completing those tasks and others in the analysis workflows by supplementing the skills of users with best-practice based approaches to data conditioning.