Hydrocarbon Processing-Aspen Technology delivers new Industrial AI solutions

In the Pharma Times article “Working in Silos” AspenTech’s Justin Eames discusses the pitfalls of working in silos in the pharmaceutical industry and explains how AspenTech’s solutions can make an impact at speed using predictive analytics. Discover how to predict asset degradation and failure well in advance of an impending breakdown or disruption and gain the ability to make decisions that can not only minimize cost and disruption, but that can also protect public health by ensuring continuity and resulting quality of drug supply.

Asset heavy companies tend to lack visibility into supply chain and overall value chain profitability. The Value Chain Optimization solution enables optimization of the petroleum supply chain by providing the visibility and agility necessary to respond to evolving demands.

Remaining useful life (RUL) is a key metric for predictive maintenance applications. However, the concept is flawed.