CYIENT Case Studies Predictive Analytics Solution for Off Highway Equipment

	Predictive Analytics Solution for Off Highway Equipment CYIENT

Predictive Analytics Solution for Off Highway Equipment

CYIENT

Technology Category	Analytics & Modeling - Predictive Analytics
Applicable Industries	Equipment & Machinery
Applicable Functions	Maintenance
Use Cases	Predictive Maintenance
Challenge	The client wanted to reduce downtime and production losses by effectively prioritizing maintenance activities and proactively replacing components before failure. Read More
About Customer	One of the world’s leading manufacturers of off-highway equipment. Read More
Customer Name	Undisclosed Read More
Solution	We designed an ensemble of advanced analytics solutions that could predict when asset components will fail and align replacements with planned maintenance schedules. We also built predictive algorithms, which evaluate a machine’s exception or repair history, operating and maintenance practices, etc. to predict the catastrophic premature failure risk before planned maintenance. We created a predictive model assessing the relative performance of an asset health, ranging from 100 (new) to 0 (failed) based upon the asset risk categories created, to help evaluate the estimated remaining useful life of the asset. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Applicable Industries

Equipment & Machinery

Applicable Functions

Maintenance

Use Cases

Predictive Maintenance

Challenge

The client wanted to reduce downtime and production losses by effectively prioritizing maintenance activities and proactively replacing components before failure.

About Customer

One of the world’s leading manufacturers of off-highway equipment.

Customer Name

Undisclosed

Solution

We designed an ensemble of advanced analytics solutions that could predict when asset components will fail and align replacements with planned maintenance schedules. We also built predictive algorithms, which evaluate a machine’s exception or repair history, operating and maintenance practices, etc. to predict the catastrophic premature failure risk before planned maintenance. We created a predictive model assessing the relative performance of an asset health, ranging from 100 (new) to 0 (failed) based upon the asset risk categories created, to help evaluate the estimated remaining useful life of the asset.

Impact #1	[Management Effectiveness - Operation Transparency] Improved management of asset maintenance schedules and performance through executive and asset manager self-service dashboards
Impact #2	[Efficiency Improvement - Operation] Increased efficiency of scheduling fleet and individual machine maintenance

Impact #1

[Management Effectiveness - Operation Transparency]

Improved management of asset maintenance schedules and performance through executive and asset manager self-service dashboards

Impact #2

[Efficiency Improvement - Operation]

Increased efficiency of scheduling fleet and individual machine maintenance

Benefit #1	8% reduction in maintenance costs
Benefit #2	10% reduced asset downtime
Benefit #3	13% improvement in overall asset productivity

Benefit #1

8% reduction in maintenance costs

Benefit #2

10% reduced asset downtime

Benefit #3

13% improvement in overall asset productivity

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Overview

Predictive Analytics Solution for Off Highway Equipment

Operational Impact

Quantitative Benefit