Drive Best-in-Class Reliability for Industries
Optimize maintenance programs and increase asset availability while meeting sustainability goals.
Empower Your Reliability and Maintenance Teams
Optimize maintenance programs for improved production and lower overall costs by predicting and minimizing the impact of equipment downtime:
- Reduce maintenance costs 20-30% per year
- Increase throughput 1-5%
Realizing the Potential of AI-Driven Prescriptive Maintenance
Innovative businesses aim to maximize the untapped value and productivity potential of their assets. With a scalable, user-friendly solution, driven by artificial intelligence and machine learning, you can:
- Enhance the precision of failure detection
- Extend the lead time for anticipating asset downtime events
- Reduce maintenance expenses
See how industrial companies across the globe are successfully scaling prescriptive maintenance across their organizations.
Impact Key Business Processes to Drive Best-in-Class Reliability
Risk Assessment, Management & Optimization | Asset Failure Mode Mitigation | Asset Performance & Risk Mitigation | Operational Decision Support
Evaluate the plant at a system-wide level to optimize availability, uptime, efficiency and capital. This includes modeling the risk to functional processes and key critical equipment, the business impact of equipment failures and impact analysis of spare parts holding and calendar-based maintenance routines.
Article
After an electrical storm stopped gas production at one of its plants, SABIC executives and reliability engineers turned to Aspen Fidelis Reliability to calculate the probability of it—or a similarly ...
White Paper
Making big capital project management decisions shouldn’t be left to subjective perceptions or over-simplified analysis. Decision-makers need quantifiable, trustworthy answers to make the most profita...
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Video
See how Aspen Fidelis enables any engineer in any department to identify the cause of lost operational availability and justify important decisions.
Case Study
Discover how an integrated oil and gas company partnered with AspenTech in their digital transformation journey to address challenges within their most crucial oil and gas central processing fields.
Mitigate asset failures to enable production gains and maintenance cost reductions through continuous 24/7 monitoring of key equipment and action-based prescriptive outcomes.
Video
With assets installed in remote locations, OCP Ecuador needed a maintenance solution that would enable them to predict and prevent equipment failures before they occurred. Using prescriptive maintenan...
White Paper
Leading asset-intensive companies are using prescriptive maintenance—powered by AI and machine learning—to unlock the value and productivity lying uncaptured in assets. Using a scalable, easy to imple...
Video
Over the past 40 years, maintenance best practices have greatly improved, but equipment continues to break down. So how can asset reliability be improved? With Aspen Mtell prescriptive maintenance sof...
On-Demand Webinar
As it relates to asset reliability, Failure Modes and Effect Analysis (FMEA) is a process to identify potential failures in a system as well as their causes and effects. By combining predictive mainte...
Gain strategic insight into operational and maintenance actions to balance cost with risk and establish the optimum maintenance approach for the plant or enterprise.
On-Demand Webinar
For industrial organizations, equipment downtime negatively impacts operational efficiency and productivity which can lead to schedule delays, lower revenues and increased pressures on workers through...
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Blog
Thanks to advances in AI, Automation and Data, maintenance and reliability managers are turning to new technologies to increase reliability and availability of assets.
Case Study
In this customer success story, learn how MOL recently added Aspen Mtell® software from the AspenONE® Asset Performance Management (APM) software suite to its portfolio of AspenTech solutions to drive...
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Blog
As part of the V14 software release, Mtell is equipped with the capability to integrate external models.
Utilize outcome-based decision modelling based on hundreds of system performance simulations and weigh risk and reward of decisions during operations to optimize energy and emissions management, production and maintenance costs.
Video
Machine learning technology can now predict equipment failures weeks in advance. But how do you decide when and how to perform the repair to maximize productivity and minimize risk? Learn how Aspen Mt...
On-Demand Webinar
The design and debottleneck of plants often require multiple iterations of engineering and capital expenditure (CAPEX) analysis. No matter how well an asset is designed, once operational, new variable...
Case Study
Discover how an integrated oil and gas company partnered with AspenTech in their digital transformation journey to address challenges within their most crucial oil and gas central processing fields.
On-Demand Webinar
In today's complex and ever-changing technological landscape, integration between Information Technology (IT) and Operational Technology (OT) is not just a buzzword; it's a necessity.
Related Products
Aspen Mtell®
Get early and accurate warning of when an asset failure will occur, how the failure will occur and what to do about it.
Aspen Fidelis™
Prioritize spending by identifying facility bottlenecks, quantifying system capabilities and predicting future performance with accurate simulations of “what-if” scenarios.
Aspen Plant Scheduler™
Increase throughput and reduce costs by creating and managing optimal schedules for dynamic continuous, semi-continuous and batch operations. semi-continuous and batch operations.
Aspen ProMV®
Get early and accurate warnings on process health deviations with insights to prevent off-spec product, maintain efficiency and rapidly optimize operations.
