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%.

With polymers scheduling utilizing Aspen Plant Scheduler, companies can improve throughput and reduce the number of transitions while simultaneously achieving high on-time order fulfillment rates. Polymer manufacturers are looking for ways to increase on time order fulfillment, unlock their plants “hidden capacity," and reduce total time spent in transitions. Scheduling with intuitive product wheels and powerful sequence optimization methods assists in achieving these goals.

In asset-intensive industries, a single failure of a critical, costly piece of equipment can result in millions of dollars in production losses. In a new report, ARC Advisory Group's Steve Banker describes how optimized production scheduling based on an integrated digital twin maintenance model enables these companies to convert unplanned downtime into less expensive, scheduled maintenance.

Watch this video for an introduction of how Aspen Plant Scheduler and Aspen Mtell work together to predict and minimize the impact of downtime

Find out how a new generation of technologies is creating opportunities within the process industries that were previously impossible.

AspenTech's Batch Scheduling helps schedulers to increase production throughput and maximize tank utilization with powerful scheduling optimization methods.

Combine machine learning and advanced sequence optimization algorithims to build the plant of the future.

When hyper compressors fail, the cost of production losses can range from tens of thousands to millions of dollars per occurrence. In this white paper, learn how companies are using Aspen Mtell to recognize the early indications of hyper compressor failure, reducing unplanned downtime and catching problems earlier—allowing more lead time to take appropriate action.

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

How are today’s industry executives maximizing the reliability and value of their assets? With asset performance management powered by the industrial internet of things and machine learning, companies can leverage both equipment and process data to extend the life of their assets and achieve optimum reliability. In this on-demand webinar presented by ARC Advisory Group Vice President Ralph Rio and AspenTech Senior VP John Hague, you’ll learn how APM 2.0 is enabling companies to break down the wall between operations and maintenance and achieve a higher return on assets.