The document discusses the challenges and solutions related to maintenance, repairs, and overhaul (MRO) in the rail freight industry, emphasizing the importance of predictive maintenance and analytics. It highlights the growing demand for rail freight, projected infrastructure investments, and technological advancements such as drone usage for real-time structural analysis. TCS suggests that implementing these technologies can significantly reduce costs, improve asset availability, and enhance overall operational efficiencies.

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Copyright © 2018 Tata Consultancy Services Limited
Transforming Rail Freight:
Using Analytics to Fast-track
MRO
TCS Enterprise Applications

2. Rail Freight Pulls
its Weight
Rail freight handles large
volumes, but managing MRO is
a challenge given the scale and
complexity of operations.
MRO: Maintenance, repairs and overhaul
more fuel efficient
than trucks
6 times
by 2021$210 billion
Growing at a CAGR of ~4%

3. • Accounts for ~33% of
US exports
• Handles ~5 mn tons of
freight every day
• Predicted to increase by
40% over the next 20
years
Rail Freight in the
US Hits Top Gear

4. $9-billion annually needed
to build, maintain, and grow
the extensive infrastructure
1.5 MN
railcars
28,000
locomotives
140,000
miles of tracks
>100,000
bridges
Investing in MRO

5. • Predict optimal maintenance
schedule
• Space out repair intervals
• Minimize unscheduled
outages
• Improve rolling stock
availability
• Free up funds and time to
provide new services
$4.56 billion spent on predictive
analytics globally in 2017
Transform MRO
with Predictive
Maintenance

6. • Predictive maintenance for
track and wagon
− Predictive modeling -
machine learning on sensor
data
− Predictive maintenance
before incidents occur
• Drone damage detection for
bridges
− Real-time structural analysis
− 360° degree damage
detection
− 3D stress visualization
Power Intelligent
Rail Maintenance

7. • Reduced maintenance cost
through real-time structural
analysis
• Improved operational and
inventory efficiencies
• Assets’ lifetime extension
through predictive
modelling
• Reduced network
congestion
• Drone-assisted digital
inspection
TCS Accelerators

8. • 20-30% inventory
rationalization;
centralized procurement
• 3-10% asset availability;
and 15-20% labor
utilization increase
• 20-30% savings on
maintenance
• Reduced network
congestion
• Improved vendor
assessment
Expect Certainty
with Intelligent Rail
MRO

9. TCS has leveraged SAP
Leonardo platform for
enterprise digital
transformation across:
• Seven industries (railways,
consumer products, energy
and resources, engineering,
life sciences,
communications, and
chemicals)
• 12 solution offerings
• More than 50 use cases
TCS Predictive
Monitoring

10. Copyright © 2018 Tata Consultancy Services Limited
Intelligent Rail Maintenance
Rail Transformation with Predictive
Maintenance
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