Learn how a major European chemical producer implemented aspenONE® Supply Chain Management, integrated to their SAP ERP system, and was able to reduce inventories by 20%, achieve 97% on time deliveries, and reduce the number of campaign transitions by 20%.

Linde Engineering North America monitors construction costs and progress using ACCE linked to 3D models driving down the cost of the estimate.

ACM is extremely powerful in reducing engineering time by up to 30% for new and novel processes.

In order to meet their design need of maintaining a 25% cost advantage over conventional chemical processes, the engineers at Liquid Light needed a flexible software solution to find key property data (even for non-ideal and electrolyte systems), conduct “what-if” and case analyses, model reaction systems, select solvents, and scale-up quickly and reliably. Leveraging Aspen Plus and Aspen Properties, the members of Liquid Light have been able to make meaningful predictions about system behavior, moving them closer to full scale production.

In this case study, learn how Braskem Idesa used Aspen ProMV™ to proactively identify and correct for conditions that historically led to high reactor fouling.

Leaders often wonder, where do we apply digital technologies to the challenges in our business? How can we chart our success? This uncertainty is understandable considering the technology’s complexity and rapid evolution, but understanding and integrating artificial intelligence (AI) is increasingly critical to competitiveness in the chemical industry.

Industrial organizations are sitting on a decades-old, massive double-edged sword: their data. Until now.

Aspen Batch APC™ (Advanced Process Control) is a closed-loop, model-predictive batch control system that improves product quality and yield, and lowers cycle times. It features a built-in optimization engine that predicts end-of-batch quality attributes at key decision points along the batch process. Aspen Batch APC enables manufacturers to improve process stability and product consistency for higher margins with a solution specifically designed for batch processes.

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.

Aspen Utilities OnLine Optimizer is an integrated software solution that enables process plant operators to manage and optimize the way they use and source energy in the power station and across an entire production site. In this brochure you will learn how it enables companies to ensure that all their processes receive reliable supplies, while at the same time minimizing running costs by reducing overall consumption and identifying the most economical sources of supply.