Four Customer Stories of
Prescriptive Maintenance Delivered
A Prescription for Greater
Asset Reliability
In today's changing world, a variety of market forces are demanding higher levels of
operational excellence from industrial manufacturers. At the same time, asset (equipment) failures, process disruptions and the resulting unplanned downtime are costing these organizations an estimated $50B USD every year.
Market
Forces
Global
Competition
Changing
Workforce
Market
Volatility
Climate and
Environment
Digitalization
Introduction
1
With so many internal and external factors to consider, operational resilience has become an imperative for many companies, including AspenTech customers LG Chem, Pan American Energy, Sardeolica and Hindalco.
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1. Aberdeen, Asset Performance Management: Blazing a Better Path to Operational Excellence. Nov. 2017
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View success stories
savings from avoided
production losses in one year
USD
$3.6M
LG Chem deployed a prescriptive analytics solution
as a part of its digitalization program to increase asset reliability and avoid unplanned downtime.
Success Story
close
lead time
days
60
With a prescriptive maintenance solution, Pan American
Energy (PAE) received a 60-day advance alert of impending steam turbine engine failure. The additional time enabled
PAE to improve asset maintenance planning without losing production time.
lower maintenance costs
10%
Seeing Aspen Mtell's successful implementation
at Saras, subsidiary Sardeolica deployed the prescriptive maintenance technology to predict wind turbine failure
up to 180 days in advance.
Hindalco, a division of the Aditya Birla Group, was able
to increase asset uptime and lower energy costs without
compromising on product quality or safety through its
initial prescriptive maintenance implementation.
under 90 days
assets
40
sites
3
close
Success Story
Success Story
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Success Story
Quickly scaled across multiple assets
Choosing the Right Maintenance Strategy
If you are looking to reduce maintenance spend, how you maintain plant equipment is as important as how often. For capital-intensive industries, the answer to how is increasingly with a prescriptive maintenance solution.
And, increasingly, the answer is Aspen Mtell , the game-changing prescriptive maintenance solution that is AI/ML-driven to recognize precise patterns in operating data, predict asset failure and recommend corrective action.
Despite rigorous planning and diagnostic efforts, equipment breaks down and process disruptions are going to occur.
Any interruptions in your process can lead to excess inventory for spares
and increased maintenance activities, negatively impacting your output and your bottom line.
Maintaining Process Health
Choosing the Right Maintenance Strategy
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Download
White Paper
Learn More:
®
View success stories
savings from avoided
production losses in one year
USD
$3.6M
LG Chem deployed a prescriptive analytics solution
as a part of its digitalization program to increase asset reliability and avoid unplanned downtime.
Success Story
close
lead time
days
60
With a prescriptive maintenance solution, Pan American
Energy (PAE) received a 60-day advance alert of impending steam turbine engine failure. The additional time enabled
PAE to improve asset maintenance planning without losing production time.
Success Story
close
lower maintenance costs
10%
Seeing Aspen Mtell's successful implementation
at Saras, subsidiary Sardeolica deployed the prescriptive maintenance technology to predict wind turbine failure
up to 180 days in advance.
Success Story
close
Hindalco, a division of the Aditya Birla Group, was able
to increase asset uptime and lower energy costs without
compromising on product quality or safety through its
initial prescriptive maintenance implementation.
Success Story
close
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under 90 days
assets
40
sites
3
Quickly scaled across multiple assets
Success Story
LG Chem deployed a prescriptive analytics solution as a part
of its digitallization program to increase asset reliability and
avoid unplanned downtime.
$3.6M
USD
savings from avoided
production losses in one year
With a prescriptive maintenance solution, Pan American Energy
(PAE) received a 60-day advanced alert of impending steam
turbine engine failure. The additional time enabled PAE to improve asset maintenance planning without losing production time.
lead time
60
days
Success Story
Seeing Aspen Mtell's successful implementaion at Saras,
subsidiary Sardeolica deployed the prescriptive maintenance
technology to predict wind turbine failure up to 180 days
in advance.
10%
lower maintenance costs
Success Story
Hindalco, a division of the Aditya Birla Group, was able to
increase asset uptime and lower energy costs without
compromising on product quality or safety through its initial
prescriptive maintenance implementation.
under 90 days
3
40
sites
assets
Success Story
Download our white paper for more on
using a prescriptive maintenance strategy
to achieve greater asset reliability.
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Now
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