SlideShare a Scribd company logo
Rajesh Uppal
Exec Director & CIO
Feb 2015
Equity Structure 56.20% Suzuki, 43.80% Public
Manpower Around 16000 employees
Models 15 models with over 150 variants
Group Companies 28
Net Sales (13-14) Rs. 426,448 million
Net Profit (13-14) Rs. 27,830 million
Total Sales (2013-14) 1,155,041 units
Market Share (2013-14) 42.1 % (Passenger vehicles)
Our Business Card
Our Manufacturing
Dimensions
• 200 variants of 16 models
• 3000 components make a car
• Lean inventories < day
• Infrastructure
– Two Geographic locations
– 5 Plants
– 128 production shops
• Approx 4 cars produced per minute
High Automation
• Manesar Weld example
Operational Technology
“ Operational Technology (OT) covers the spectrum of systems
that deal with the physical transformation of products and
services. They are task-specific systems, are highly customized
for industries and considered mission-critical. “
Source: Chainlink Research
IT Orchestrates Shop Floor
• Machine Interfacing
Machine Interfacing
IT Orchestrates Shop Floor
• Machine Interfacing
• Guided Manufacturing (Pika-Pika)
Guided Manufacturing
(Pika-Pika)
IT Orchestrates Shop Floor
• Machine Interfacing
• Guided Manufacturing (Pika-Pika)
• Fool Proofing (Poke-Yoke)
Fool Proofing (Poke Yoke)
IT Orchestrates Shop Floor
• Machine Interfacing
• Guided Manufacturing (Pika-Pika)
• Fool Proofing (Poke-Yoke)
• Shop Floor Control
Shop Floor Control
IT Orchestrates Shop Floor
• Machine Interfacing
• Guided Manufacturing (Pika-Pika)
• Fool Proofing (Poke-Yoke)
• Shop Floor Control
• Synchronized Production
Synchronized Production
DATA Emitters
Raw material receiving
Inspect in Labs
Holding area
Heat treatment
for melting metal
Cast metal
into desire
shapes
Machine Control
Panel
Finished component
OKReject
Dispatch to M/C shop
Inspection at M/C shop handover
Parameters
• Metal Temperature
• Metal Pressure
• Pouring time
• Vacuum reading
• Etc… (12
parameters)
Casting manufacturing process
What we did
Parameters set based on experience/ Hit and Trial
No historical data available for decision making
End to end process traceability of casting components.
Trend availability of appropriate values .
Parameter based Quality Prediction in Casting shop
Control Quality in Casting shop through Proactive Defect Prediction
based on Casting Process Parameters .
Plant Data
Process parameter
Machine DataFailure Data
Quality Control
A new Horizon of OT with IT
OT
IT
Efficiency
Quality
Cost Flexibility
MES
Prediction Systems
Thank You
Drive safely with “Maruti”

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Rajesh Uppal Maruti Suzuki: IT Weds OT

  • 1. Rajesh Uppal Exec Director & CIO Feb 2015
  • 2. Equity Structure 56.20% Suzuki, 43.80% Public Manpower Around 16000 employees Models 15 models with over 150 variants Group Companies 28 Net Sales (13-14) Rs. 426,448 million Net Profit (13-14) Rs. 27,830 million Total Sales (2013-14) 1,155,041 units Market Share (2013-14) 42.1 % (Passenger vehicles) Our Business Card
  • 3. Our Manufacturing Dimensions • 200 variants of 16 models • 3000 components make a car • Lean inventories < day • Infrastructure – Two Geographic locations – 5 Plants – 128 production shops • Approx 4 cars produced per minute
  • 5. Operational Technology “ Operational Technology (OT) covers the spectrum of systems that deal with the physical transformation of products and services. They are task-specific systems, are highly customized for industries and considered mission-critical. “ Source: Chainlink Research
  • 6.
  • 7. IT Orchestrates Shop Floor • Machine Interfacing
  • 9. IT Orchestrates Shop Floor • Machine Interfacing • Guided Manufacturing (Pika-Pika)
  • 11. IT Orchestrates Shop Floor • Machine Interfacing • Guided Manufacturing (Pika-Pika) • Fool Proofing (Poke-Yoke)
  • 13. IT Orchestrates Shop Floor • Machine Interfacing • Guided Manufacturing (Pika-Pika) • Fool Proofing (Poke-Yoke) • Shop Floor Control
  • 15. IT Orchestrates Shop Floor • Machine Interfacing • Guided Manufacturing (Pika-Pika) • Fool Proofing (Poke-Yoke) • Shop Floor Control • Synchronized Production
  • 18.
  • 19. Raw material receiving Inspect in Labs Holding area Heat treatment for melting metal Cast metal into desire shapes Machine Control Panel Finished component OKReject Dispatch to M/C shop Inspection at M/C shop handover Parameters • Metal Temperature • Metal Pressure • Pouring time • Vacuum reading • Etc… (12 parameters) Casting manufacturing process
  • 20. What we did Parameters set based on experience/ Hit and Trial No historical data available for decision making End to end process traceability of casting components. Trend availability of appropriate values .
  • 21. Parameter based Quality Prediction in Casting shop Control Quality in Casting shop through Proactive Defect Prediction based on Casting Process Parameters . Plant Data Process parameter Machine DataFailure Data
  • 23. A new Horizon of OT with IT OT IT Efficiency Quality Cost Flexibility MES Prediction Systems
  • 24. Thank You Drive safely with “Maruti”

Editor's Notes

  1. Our Assets like pumps, motors, conveyors, valves, forklifts, robots, etc. fall under it.
  2. Parameters Capturing in Casting shop Capturing of process parameters on each unit’s production, as well as subsequent rejections. Parameters like, temperature, pressure, cycle time etc. Immediate and periodic alerts for any deviations Analytics and Dashboards for minimizing rejection. for a quick over-view on the health of Casting shop and its process outcome . Reduction in Rejection by 50% in 3 year (20% +20% +10%) Reduction in breakdowns due to process variation. Target Savings committed by business: ~Rs 40million / year
  3. Flexibility Quality Optimization Improving Bottom-line