Executive Brief

Une Entreprise qui s'Auto-Optimise : Une Nouvelle Ère d'Autonomie, Propulsée par l'IA Industrielle

Alors que nous nous adaptons à la "nouvelle norme" de volatilité extrême, d'incertitude, de complexité et d'ambiguïté, les entreprises du monde entier reconnaissent la nécessité d'exploiter leurs actifs et leurs chaînes de distribution avec une plus grande résilience, flexibilité et agilité afin de pouvoir répondre aux conditions changeantes du marché.

Case Study

From Reactive to Proactive: Machine Learning Drives Better Business Outcomes

A specialty plastics plant needed a solution to reduce downtime on a problematic hypercompressor in their LDPE production process.

Case Study

Multivariate Statistical Analysis Finds the Bad Actors in Light Component Losses

This petrochemical company launched an Aspen ProMV™ pilot project to investigate light component losses that go to the bottom of a fractionation column and pressurize the downstream column. Using Aspen ProMV for continuous processes, a model was developed, and bad actors that are highly correlated to the light product loss were identified. Aspen ProMV’s optimization tool was also utilized to provide better operating conditions to reduce losses.

News Article

Training moves with the times

Training moves with the times

News Article

An Ideal Tool for On-Time Project Delivery

AspenTech's Sanjeev Mullick discussed how integrated software solutions provide a collaborative platform to enable various disciplines to share data and information resulting in better quality of designs and consistency of project deliverables.

News Article

Delivering a competitive edge to chemical companies

Delivering a competitive edge to chemical companies

News Article

Empowerment through IT enabled solutions

Empowerment through IT enabled solutions

News Article

Enhancing production, maximizing profitability

Enhancing production, maximizing profitability

News Article

Leaders speak - 30 years of process optimization

Leaders speak - 30 years of process optimization

On-Demand Webinar

How Braskem Idesa Reduced Their Reactor Fouling Rate by Using Multivariate Analysis and Existing Data

Improving reactor uptime is an ongoing challenge for most chemical and petrochemical organizations. During this webinar, learn how Braskem Idesa process engineers leveraged the multivariate analysis of Aspen ProMV™ to significantly extend the time between reactor cleanings and reduce fouling 100%.

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