Batch Scheduling

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

Aspen Plant Scheduler with Aspen Mtell® Integration

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

White Paper

Ramp up Reliability With Low-Touch Machine Learning for Hyper Compressor Monitoring

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.

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.

Goals versus Actuals

Real-time visibility to production targets and key performance indicators

Metals and Mining

金属・鉱業

White Paper

White Paper: Seeing Into the Future With Prescriptive Analytics

Discover how to predict equipment breakdowns and perform prescriptive maintenance using a new approach to asset performance management. In this white paper, learn how nine early adopters of prescriptive analytics have reduced unplanned downtime and improved asset reliability. Download the paper to read real stories about the bottom-line results that have been achieved—in as little as 2 ½ weeks.

Interview with an Expert

Creating the Intelligent Mine

Intelligent mining provides meaningful insight into everyday operations to support proactive decision making. Predictive maintenance solutions designed specifically for mining organizations help improve equipment utilization, performance, reliability and safety.

Optimization with Custom Equipment

Increase visibility and responsiveness to production problems through real-time monitoring of business metrics via dashboards, alertsand pattern matching.

Case Study

Two Looming Failures Stopped Within Two Weeks of Monitoring

Executives at this mining company were looking for a new approach to proactively handle reliability issues for critical equipment.

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