Maintcon 2018 - Deepak Sahoo, CEO - Arrelic Presentation

©Arrelic Reliability Private Limited - 2018. All rights reserved. | www.arrelic.com | info@arrelic.com
How Machine Learning, AI and IIOT is going to change the
fate of O&M practices in Manufacturing Industry?
Deepak Kumar Sahoo, CMRP, CRL
Founder & CEO,
ARRELIC
1

©Arrelic Reliability Private Limited - 2018. All rights reserved. | www.arrelic.com | info@arrelic.com 2
We will try and leverage digital for keeping this
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www.menti.com ( Code 94 63 90 )

Understanding of IoT – AI – ML – NW – Edge
ANALYTICS INFORMATION KNOWLEDGEDATASENSORS
Data acquisition sensors
▪ Sight, smell, sound, taste and touch
▪ Network and pathway
▪ Network / systems
▪ Platform & Engine
▪ Mind
▪ Information
▪ What you do ?
▪ Knowledge
▪ How to prevent ?

Internet of Things (IoT) – not just one technology
Low-cost, low-power
sensor technology
Widespread wireless
connectivity (indoor,
outdoor)
Huge amounts of
affordable storage and
compute power (largely
cloud-based)
Plenty of unique internet
addresses (IPv6 protocol)
Big data with NoSQL storage
and Data science algorithms
for advanced and predictive
analytics and visualisation
▪ People, Processes and Things connected over
Internet Protocol (IP) networks
▪ New-age Digital Solutions that combine several
technology enablers
▪ Self-learning smart systems that autonomously
handle the scale and complexity
▪ Disruptive application starting in industry
(“Industry 4.0”)

Business Transformation
Impact seen across
▪ Business
Strategy/Model
▪ Customer Experience
▪ Business Operations
Need of hours
• A typical modern refinery
will have about 50,000 inputs
and outputs to and from
control and monitoring
systems. (IoT Devices)
• But an older refinery will
have closer to 20,000 – 30,000
devices in next 3-5 years.

Business Applications of IIoT
Features of process
change:
▪ Remote monitoring
and control
▪ Real-time
optimization
▪ Continuous
improvement
▪ Predictive action
▪ Better collaboration

Artificial Intelligence (AI)
Bayesian Networks
GeneticAlgorithms
Planning
Reasoning & Problem Solving
Knowledge Representation
▪ It’s not new
▪ It’s not one technique
▪ Many approaches to many
different goals /applications
▪ Applied where causal logic
is difficult to program or
process
▪ Recent ease of application

Machine Learning (ML)
Regression
Principal ComponentAnalysis
Classification
K-means Clustering
Anomaly Detection
Data-science based algorithms
that learn through “experience”
▪ Data as “trainer”
▪ Supervised Learning
Eg. Classification, Regression
▪ Unsupervised Learning
Eg. Clustering, Pattern discovery
▪ Deep Learning, Reinforced
Learning
“ML will increasingly feed on IoT data as
sensors and smart apps take over every facet of
our daily lives.” – Forrester Predictions, 2017

Evolution of AI in O & M
Level of Human Involvement
Rule Based
Computing
Machine Learning
Machine
Intelligence
Rule based
Interference
Supervised
Learning
Unsupervised
Narrow Learning
Unsupervised Context
Aware Learning
Self Aware
Unsupervised Learning
Now 2030 & BeyondPast
100 % 0 %

AI is going to impact every business function in an Enterprise
Customer account
management
Customer communications Sales management
Service and returns
management
Demand planning and
forecasting
Supply chain customer
experience
Call center management Recruiting
Customer experience
management*
Detection Incident Response* Prevention*
Risk compliance management Risk operations Risk analysis*
Spend analysis Logistics
Sourcing and supplier
management
IT finance/ procurement/
vendor management
Operations (e.g., location data) IT architecture and engineering
Procure-to-Pay
Regulatory and statutory
monitoring/compliance/reporting
Supporting organic growth
strategies partnering with the
business
Performance management Learning and development Diversity and inclusion
Facilities and energy
management
Quality and preventive
maintenance
Assembly
Life cycle management Research Innovation/idea generation
Content creation
Marketing campaigns and
promotions
Marketing automation
Enabling an environment of
openness in the organization
Conception of new ideas Improving the amount of collaboration
internally in organization
Front office Middle office Back office
Highest priority 2nd highest priority 3rd highest priority
Sales
Supply Chain
Customer Service
Information Security
Risk
Procurement
Information Technology
Finance
Human Resources
Manufacturing
Product Development
Marketing
Innovation
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Data is the new oil & AI is the new Electricity
80% of the world’s enterprise data is dark, and cannot be analysed by traditional computing.
Enterprises are using AI and ML to transform their businesses
“About 100 years ago,
electricity transformed
every major industry. AI
has advanced to the point
where it has the power to
transform” every major
sector in coming years.”
- Andrew Ng, Co-Founder
of Coursera and Adjunct
Professor at Stanford
University

Depends who owns your
data.
Data vs Trusted Data
Is IoT a Trap ?
Data
Information
Intelligence
Knowledge
Wisdom
The life cycle of data to wisdom

IIoT with Edge Capabilities
Our Capabilities help Industries to
Remote OfficesClient Location
Edge capabilities No human
interference
Integration with
CMMS
Fast track
deployment

The Missing Link

Connecting the Unconnected with AI & IIoT
The new era of Connected Decision Making.

Hammer Vs Nail

Focus on TEEP/OEE
Total Effective Equipment
Performance (TEEP)
The ratio of the good product produced to maximum possible production
over a given calendar time period
Overall Equipment
Effectiveness (OEE)
The ratio of the good product produced to planned
production over a given calendar time period

Design the system

Flexible & robust data collection
▪ Provides robust automated data collection through System Platform objects.
▪ Leverages System Platform device connectivity to interface to any plant information source
▪ Supports multiple methods for manual data collection such as HMI, Web and Mobile.
▪ A platform for standardization in support of industry standards.
▪ Data Collection in support of OEE – Overall Equipment Effectiveness.
Flexible & Robust
Data Collection
Real Time
Visibility
Operational
Governance
Empowering
the Workforce
Driving
Accountability

Real time visibility
▪ Drive better equipment utilization through operator awareness
▪ Provide visibility to key performance metrics in real-time
▪ Drive consistent “action” to normal activities (e.g. line setup/change over), as well as
abnormalities.
▪ Get instant notifications of alarms and out of range data points.
▪ Take action, share data and notify colleagues with a click.
▪ Multi-platform support and Advanced Reporting & Analytics, Single & Multi-Plant.
▪ Easier Dashboard and multi-format report generation.
Flexible &
Robust Data
Collection
Real Time
Visibility
Operational
Governance
Empowering
the Workforce
Driving
Accountability

Operational governance
▪ Define and institutionalize operational practices to sustain improvements
▪ Coordinate disparate people and applications into effective processes
▪ Measure the effectiveness of your practices
▪ Easily adapt and change practices to drive further gains.
Flexible &
Robust Data
Collection
Real Time
Visibility
Operational Governance
Empowering
the Workforce
Driving
Accountability
Ensure that Improvements are Sustained…

Empowering the workforce
▪ Enables people to own and participate in the change management process.
▪ Coordinates and facilitates communication amongst the team members.
▪ Aligns the cross-functional team with business objectives and priorities.
▪ Facilitates and guides the change management process.
Flexible &
Robust Data
Collection
Real Time
Visibility
Operational
Governance
Empowering the
Workforce
Driving
Accountability
Ownership Drives Adoption…

Driving accountability
▪ Define “action plans” that align with your organizational objectives – close the loop!
▪ Define how each role in the organization participates in those plans
▪ Measure the effectiveness of the teams and how well they react and respond
▪ Appropriately escalate processes to ensure that they are addressed in a timely manner
Flexible &
Robust Data
Collection
Real Time
Visibility
Operational
Governance
Empowering
the Workforce
Driving Accountability
Establish Processes to Drive Accountability…

Focus on future uncertainty

Your Feedback and Comments
www.menti.com ( Code 94 63 90 )

You can reach us at dksahoo@arrelic.com to begin a
conversation on your digital transformation initiatives.
Industrial
IoT Sensors
Machine
Analytics
Predictive
Maintenance
Training &
Development
Reliability
Consulting
Talent
Acquisition
Thank you.

Maintcon 2018 - Deepak Sahoo, CEO - Arrelic Presentation

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