Shell recently completed a pilot evaluation of Aspen Unified Planning™ (AUP) and Aspen Unified Scheduling™ (AUS) at the Pernis and Moerdijk manufacturing complexes. The objective of the project was to simplify and streamline the deployment of newer software versions to enhance the efficiency and usability of its planning and scheduling tools. Integration between planning and scheduling was also a key focus.

What if you could accelerate your data ingest and transform it with a unified data analytics solution that connects it all? Now you can.

In today's rapidly evolving industries with ever-changing dynamics, maintaining operational efficiency and reliability is crucial. Digitalization offers insights into facility capacities and capabilities across varying scenarios—short and long term. By understanding the potential effects of equipment downtime or changes in production plans, organizations can proactively manage risks and optimize resource allocation.

Due to demands of production, evolving regulations, need to advance sustainability goals and a widening skills gap, organizations are implementing adaptive process control capabilities.

Developing a strategic plan to achieve net-zero goals for asset-intensive industries can be a complex and challenging exercise. AspenTech Strategic Planning for Sustainability Pathways assists teams in developing an effective, long-term decarbonization strategy through the screening of multiple technologies while optimizing the balance between financial objectives and net-zero targets.

During the Q&A portion of a AspenTech Inmation™ webinar with Verdantix, attendees had the opportunity to pose their questions to the panel of experts presenting. This document contains the answers to those industrial data questions.

Are you struggling to extract meaningful insights from your industrial data using traditional PLS (Partial Least Squares) modeling techniques? It's a common challenge—despite scrutinizing scores, loadings and statistical parameters, achieving satisfactory model performance remains elusive.

Contrary to popular opinion, the journey to improve asset performance does not need be an ordered, strict, logical set of steps. Rather, it is about knowing the right issues to solve at your site and doing so with technologies that complement your assets.

Reducing energy use and GHG emissions remains a priority for the process industries. However, when designing more energy efficient plants or revamping existing sites, a high level of expertise is required to perform Pinch analysis. Engineers have limited time available for design, and the use of separate tools by multiple disciplines also brings the risk of errors due to manual data transfer.

As asset-intensive companies grapple with the increased complexity of maintaining reliable, high performing equipment, the challenge grows exponentially when critical asset data—maintenance records, sensor data, historical information, etc.—is siloed across various systems, departments and formats.