System Integration in an IOT world

Jayraj Nair, Head – IOT Practice and AVP – Engineering Services, Infosys

Content

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• Infosys at a glance

• Smart, connected products and operations

• Industry 4.0 and survey results

• Capability levels – monitoring, control, optimization

• Rethinking predictive analytics – IIP

• Ecosystem partnership – IIC

Infosys at a glance

3

Infosys Intellect ValuesPeople Clients

Founded in Pune, India in 1981

$8.7 billion revenues

950 clients

50+ countries

$40.3 billion market capitalization

176,000+ staff

98 nationalities

97 percent of staff areuniversity educated

22 percent hold masters degrees or doctorates

94 percent are consultants and

engineers

World’s largest corporate university

2 percent of revenues invested in R&D

More than 300 researchers

Investing $500 million in Innovation Fund

505 patents pending and 204 granted

Transparency, ethics, and respect

98.3 percent of projects delivered on time

96.6 percent business is repeat business

2 percent of profits go to the Infosys Foundation

Topped Asiamoney’sCorporate Governance

Poll in the Domestic Country category

4 out of top 5 US banks

6 out of top 10 global CPG

8 out of top 10 global pharma

4 out of top 5 global aerospace

and defence

6 out of top 10 global telcos

Infosys Engineering Services4

250+clients

20+ years

Global operations

8000+engineers

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Mechanical, structural and manufacturing engineering

Product lifecycle management

Knowledge based engineering and analytics

Electronics / embedded / electrical engineering

Value analysis and value engineering

Plant automation control services

Networking and telecom engineering

Industries

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Integrating smart, connected products

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1 2 543

Hardware and

software

embedded design

of intelligent

devices,

intelligent

gateways devices,

device security,

and

multiple protocols

such as MQTT,

AMQP, STOMP

MODBUS,

PROFINET, OPC

Connectivity

solution around

Wi-Fi, ZigBee,

Bluetooth, Zwave,

3G, and 4G

moving to 5G

SIM; M2M

connectivity

management;

traffic

engineering;

network and

device operations

Management of

end devices for

state and status;

data modeling;

cloud hosting;

device software

management;

policy rules

engine;

complex event

processing;

security; and

integrity of data

Database

integration,

CRM integration

data warehouse,

workflow

management,

workforce

management,

enterprise mobility

Stream

processing,

actionable

analytics,

data visualization,

statistical

computing,

business

dashboards,

predictive and

prescriptive

analytics,

business insights,

monetization, and

continuous

improvement

Inte

llig

en

t d

evic

es

Co

nn

ectivity

De

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an

ag

em

ent

En

terp

rise in

teg

ratio

n

Bu

sin

ess a

na

lytics

Smart, connected products and Industry 4.0

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Operations efficiency

Production optimization (OEE)

Production planning and scheduling

Productivity modelling

Statistical quality control

Inventory optimization

Maintenance efficiency

Condition monitoring

Predictive maintenance

Maintenance planning and scheduling

Reliability-centered maintenance

Root cause analysis /anomaly detection

Service efficiency

Remote management / remote services

Field service management

Materials management (spare parts / inventory)

Service life cycle management

Supply chain analytics

Information efficiency

iDashboard

Data quality framework

Asset life cycle information model

Machine-born data management and

analytics

Knowledge management

Energy efficiency and sustainability

Energy management

Resource efficiency

Asset sustainability index

Safety performance (Alarm management,

EHS)

Regulatory / standards compliance

Impacts value chain Transforms asset efficiency

Industry 4.0 survey results

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Study : FIR Institute at the University of Aachen, Germany + InfosysParticipants : 433 Industrial Manufacturing executives

Industry 4.0 survey results8

Deploying varying levels of IoT capability

Monitoring

visibility

E.g., factory

visibility

Control

operations

E.g., Health

Safety

Optimization

E.g., Predictive

analytics

9

Reference solutions @ booth #220

10

Implemented a real-time plant visibility solution for one of the

largest food and beverage companies in the world

Solution• Real-time capture of production data from factory floor

equipment and systems

• Mobility solution implemented for ‘on-the-go’ quality inspection

• Intelligent dashboards with real-time and historical performance reporting

Results • Overall line and plant effectiveness increased from 45 percent to

60 percent (which has significantly impacted plant throughput and profitability)

• Manual paperwork reduced by 70 percent

• Enterprise data duplication reduced to 0 percent

• Reduction in frontline resource fatigue and equipment downtime

• Implemented root-cause analysis for quicker troubleshooting

• Increased speed and accuracy in decision-making

• Significant productivity improvement in quality inspection (mobile on-the-go)

ChallengeA global FMCG company needed to modernize its factories across multiple locations to improve operational efficiency and effectiveness

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Developed a manufacturing intelligence system for

one of the largest manufacturers of heavyweight motorcycles

in the world

Solution

Implemented a leading-edge manufacturing integration and intelligence system, fully integrated with ERP and shop floor systems

Results

• Real-time visibility into production rejects and start-up rejects, reduced scraps, and improved the quality measure of production systems significantly

• Enhanced the overall equipment effectiveness (OEE) of the plant

• Implemented preventive maintenance by tracking the order inflow into production systems and proactively resolving them

• Engaged in innovation co-creation, partnering in their innovation strategy

ChallengeA global automotive company needed better insight into its manufacturing systems in order to build an intelligent manufacturing enterprise

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Enabled a real-time information management system

for a global mining major

Solution • Enabled integration and interoperability between

multiple manufacturing systems, historical data and legacy systems

• Critical systems moved to newer converters – without disruption to business continuity

• Established a more stable platform for the existing quality system for smelter operations

Challenge A global mining major needed real-time visibility across the mining value chain – extraction, transportation, beneficiation and processing

Results • Improved day-to-day scheduling, resulting in increased

efficiency and productivity

• Improved availability of business-critical applications

• Global roll-out of new KPIs

• KPI standardization across similar operations

Deploying varying levels of IoT capability

Monitoring

visibility

E.g., Factory

visibility

Control

operations

E.g., Health safety

Optimization

E.g., Predictive

analytics

13

Reference Solutions @Booth 220Reference solutions @ booth #220

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Implemented a biometric field engineer safety monitoring solution

for one of the largest global manufacturers of escalators and

elevators

ChallengeA global manufacturer of escalators and elevators needed real-time visibility into the safety of their field engineers

Solution • Implemented a biometric field engineer safety monitoring solution

• Real-time monitoring and reporting of hazardous situations for multiple individuals and teams simultaneously

• Designed for and deployed in harsh and remote environments

• Developed and deployed:

• Mobile app for field engineers

• Remote monitoring sensors

• Mobile app for facility managers

• Integrated directly with other enterprise systems and / or emergency services

Results • Ensured faster response times in emergency environments

• Reduced the number of accidents as the vital parameters of each field engineer is constantly monitored

15

Development of a centralized dashboard to implement continuous

and remote monitoring of field-based personnel for a leading mining

company

ChallengeA leading mining company needed to continuously monitor their field-based personnel and miners, and provide assistance during life-threatening conditions

Solution

• Developed a centralized dashboard to continuously monitor field workers

• Identified the severity of the breach or hazardousness of the situation

• Delivered immediate evacuation alerts and tracked high-risk workers

Results • Faster evacuations

• Faster mobilization of specialist

resources

• Reduction in the cost of health

insurance cover for miners

• Improvement in the health and safety

matrix

16

Infosys built a demonstrator to establish the relevance of Industry

4.0 in the delivery of smart services together with a global leader in

power and automation technologies and the largest technical

university in Germany

Solution• Android-based mobile application

• Applied to a technically complex class of instruments

whose functionality is critical in the process industry

• Real-time QR code scanning to understand current

device status and maintenance needs

• Multiple workflows to manage and maintain complex

gas analyzers

• Cloud-based self-service experience

• Integrated security solution

Results

• Enhanced user experience for both the customer and the field engineer

• Faster and best-in-class service support from OEM

• Significant reduction in mean time to repair (MTTR)

• Enhanced quality monitoring and reporting

Deploying varying levels of IoT capability

Monitoring

visibility

E.g., Factory

visibility

Control

operations

E.g., Health safety

Optimization

E.g., Predictive

analytics

17

Reference Solutions @ Booth 220

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Enabled predictive maintenance and corrective action for a mining

major

Analyzed 300 million records in

less than 4 seconds

Reduced the cost by 1000 percent

Helped customer save on costly

downtime caused due to

equipment failure

Provided predictive analytics to

identify when equipment on field is

likely to fail or needs maintenance

in order to maximize uptime / in-

service for equipment

19

Improved service levels of ATMs for a leading ATM

manufacturer

Cleansed 4 million records within

27 seconds

Reduced cost by 18 percent, from

increasing mix to 40 percent

staged calls

Increased efficiency by 14 percent,

from 3 to 4 service calls per

technician per day

Reduced time to identify chronic

defects from weeks to hours

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Prevented network faults using predictive analytics

for a telecom major

Analyzed 16.7 million records in 5

seconds

Impending network faults in the next week predicted with a high degree of accuracy to fix the network failure points

Solution based on open-source

stack, including Apache Spark and

prebuilt Infosys components, was

delivered in just 5 days

Improved price-to-performance

ratio

Rethinking predictive analytics

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ScopeAll data – not just structured,

not just internal

Speed @ scaleHandle massive scale without

compromising speed (decision time)

InsightsMove from request-response to

self-discovery

Prebuilt

Components

from Infosys

& Partners

Open Source

Data

Scientists

Technical

Experts

Infrastructure

Management

Analysts

Functional

Experts

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Building blocks – Infosys Information Platform

Ecosystem partnership – IIC

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• Infosys will focus on the development of future IIC testbeds, leveraging its expertise in

predictive analytics to enable Industry 4.0 essentials of maintenance, operations, information,

service, and energy efficiency

• Solutions will leverage the recently announced Infosys Information Platform (IIP) and be

anchored on open-source and open-access ingredients for rapid innovation by the partner

community

Reach out to us IOT@Infosys.com to collaborate and co-innovate

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