Value Chain Optimization for Ethylene Production

A collaborative value chain optimization system that incorporates and integrates known applications provides the highest returns on investments and plant profitability.

Improvements in technology and best practices

Known technology like Linear Programming (LP) models, Real-Time Optimization (RTO), Advanced Process Control (APC) and planning applications are common in most modern facilities and greatly improve profitability. Applying these applications to ethylene production ensures maximum production against feed cost, push throughput and keep stability, and optimum targets against economic changes while increasing plant performance.

However, to gain the highest returns on investments and plant profitability, a collaborative value chain optimization system that incorporates and integrates all these applications is required.

Different disciplines at the plants and across the enterprise have higher demands on productivity while lowering expenditures. A new approach to deploy these technologies is key to justifying investments and remain competitive.

This presentation will discuss different aspects of value chain optimization, including:

  • Technology improvements
  • Best practices and benefits
  • How to provide known technology with lower efforts to build, maintain, and expand use, while supporting business decisions

Watch the webinar to learn how higher ease of use technology and greater exposure to operations and business decision-makers result in successful and sustainable value chain optimization.

Duration: One Hour

Register now to watch the webcast!

Webinar – Value Chain Optimization for Ethylene Production.


Peter Le

Senior Principal Consultant, AVEVA

Peter Le is a Senior Principal Consultant for AVEVA Software supporting simulation solutions for online optimization, performance monitoring, predictive maintenance, advanced controls and planning. Peter has over 20 years of experience leading projects and implementing online simulation, training simulators and automation in facilities worldwide. Peter previously managed software product quality and support at Schneider Electric Software now AVEVA. He holds a B.S. degree in Chemical Engineering from the University of Oklahoma.