CRL 1-hr: 9/26 Introduction to Uptime Elements Reliability Framework and Asset Management System

Continuous, Safe Locomotive Operations Supported by Advanced Machine Learning Software

{image:1}

Aspen Technology, Inc. (NASDAQ: AZPN), a leading provider of software and services to industry, today announced that Mtell, the recently acquired pioneer of prescriptive analytics for maximizing asset availability, has received the 2016 CSX Supplier Innovation Award.

CSX Corporation, a premier transportation services provider based in Jacksonville, Florida, recognized Mtell as a select supplier delivering extraordinary value and productivity, saving the company millions of dollars in costly downtime.

Mtell prescriptive maintenance functionality helps CSX identify potential locomotive issues by analyzing large volumes of real-time and historical operational and maintenance data to detect anomalous behavioral patterns. By automating the detection of potential problems and prescribing corrective actions, the solution helps firms quickly identify and rapidly respond to early indicators of potential failures, significantly improving asset utilization.

AspenTech’s asset performance management solutions use a systems approach to accurately predict equipment and process failures, precisely understand when and why the failure will occur, and offer prescriptive recommendations to optimize business decisions from a design, operations and maintenance perspective.

Supporting Quotes
Larry Biess, Director Business Intelligence, Engineering & Strategy, CSX Transportation
“AspenTech and Mtell are critical partners in CSX’s transformation into a highly automated railroad, which requires a sophisticated level of predictive analytics to further enhance our safe, reliable service for customers. We’re pleased to recognize this important partnership – which has delivered consistent results driving operational and cost efficiency – with our 2016 Supplier Innovation Award.”

Paul Rahilly, Former Mtell Chief Executive Officer, AspenTech Senior Director, Product Management
“We are delighted to receive the 2016 CSX Supplier Innovation Award, and look forward to adding value to the aspenONE Asset Performance Management software suite. Together, we will continue to empower industry with game-changing prescriptive solutions that use machine learning to give firms an unprecedented ability to accurately predict degradation and failures in assets, and proactively mitigate risk.”

Mike Jensen, President, 4Atmos Technologies LLC
“4Atmos is pleased to be a key part of the CSX success story and looks forward to continuing to help customers save millions of dollars by avoiding potential failures. Our deep domain experience and hands-on approach enables us to rapidly deploy AspenTech’s industry-transforming prescriptive maintenance solutions and put into place the business best practices that result in real-world savings and optimized efficiencies.”

About AspenTech
AspenTech is a leading supplier of software that optimizes process manufacturing – for energy, chemicals, engineering and construction, and other industries that manufacture and produce products from a chemical process. With integrated aspenONE solutions, process manufacturers can implement best practices for optimizing their engineering, manufacturing and supply chain operations. As a result, AspenTech customers are better able to increase capacity, improve margins, reduce costs and become more energy efficient. To see how the world’s leading process manufacturers rely on AspenTech to achieve their operational excellence goals, visit www.aspentech.com

© 2016 Aspen Technology, Inc. AspenTech, aspenONE, the Aspen leaf logo, and OPTIMIZE are trademarks of Aspen Technology, Inc. All rights reserved. All other trademarks are property of their respective owners.

Upcoming Events

August 8 - August 10, 2023

Maximo World 2023

View all Events
banner
80% of Reliabilityweb.com newsletter subscribers report finding something used to improve their jobs on a regular basis.
Subscribers get exclusive content. Just released...MRO Best Practices Special Report - a $399 value!
DOWNLOAD NOW
Uptime Elements Root Cause Analysis

Root Cause Analysis is a problem solving method. Professionals who are competent in Root Cause Analysis for problem solving are in high demand.

Reliability Risk Meter

The asset is not concerned with the management decision. The asset responds to physics

Why Reliability Leadership?

If you do not manage reliability culture, it manages you, and you may not even be aware of the extent to which this is happening!

Asset Condition Management versus Asset Health Index

Confusion abounds in language. Have you thought through the constraints of using the language of Asset Health?

Seven Chakras of Asset Management by Terrence O'Hanlon

The seven major asset management chakras run cross-functionally from the specification and design of assets through the asset lifecycle to the decommissioning and disposal of the asset connected through technology

Reliability Leader Fluid Cleanliness Pledge

Fluid Cleanliness is a Reliability Achievement Strategy as well as an asset life extension strategy

MaximoWorld 2022 Conference Austin Texas

Connect with leading maintenance professionals, reliability leaders and asset managers from the world's best-run companies who are driving digital reinvention.

“Steel-ing” Reliability in Alabama

A joint venture between two of the world’s largest steel companies inspired innovative approaches to maintenance reliability that incorporate the tools, technology and techniques of today. This article takes you on their journey.

Three Things You Need to Know About Capital Project Prioritization

“Why do you think these two projects rank so much higher in this method than the first method?” the facilitator asked the director of reliability.

What Is Industrial Maintenance as a Service?

Industrial maintenance as a service (#imaas) transfers the digital and/or manual management of maintenance and industrial operations from machine users to machine manufacturers (OEMs), while improving it considerably.