sap environment health and safety · ehs data integration ehs data analysis ehs data ownership...
TRANSCRIPT
Introduction and Overview
Digital Transformation of
Environment, Health and Safety
Jayakumar Indracanti
Agenda
Introduction to current topic
Challenges faced by Companies for managing EHS
An Overview of EHS management in Siloed organization
Industrial 4.0 and Context of EHS
Digital Transformation –An Introduction
Technology enablers for Digital Transformation
Internet of Things (IoT) / connected devices
Big Data
AI/ML
Cloud
Use Cases
Digital Transformation Framework for EHS
EHS Strategy
Framework for EHS Digital Transformation
Recommendations
INDUSTRY OPERATION - OVERVIEW
Challenge : 1. Disparate systems and data sources
Spreadsheets, Databases,
homegrown software
Legacy applications and local
replicates
Paper based recording systems
Stand alone EHS software
systems
Challenge : 2. In adequate view on ROI
42 percent of safety leaders find
it difficult to measure the return
on safety and 23 percent report
having trouble getting executive
buy-in for new initiativeso Aberdeen Report, 2015
Challenge : 3. In adequate collaboration across
departments
Truly effective EHS programs are
not isolated in a silo; it's
embedded in the business
Interconnectedness that EHS has
with other functional groups:
engineering, finance, quality,
sustainability, human resources,
research and design, etc. drives
organizations to work towards a
shared purpose in a consistent
and reliable manner
Challenge : 4. Data / KPI visibility
How well does the data
travel within the
organization
Ability to associate all the
contextual information
about the KPI and upto
date information
Ability to capture both
leading and lagging
indictors
Challenge : 5. Missing Management Support due to lack of
visibility
Many executives of at-risk
organizations still view
safety as a business cost
rather than a revenue
driver
Executives tend to
mistakenly view the above
due to missing visibility of
EHS programs / Data /
missing collaboration
Challenge : 6. Skills and Training requirement with
changing environment
Employee Fined for cleaning
the spills asked to attend 2
days EHS orientation
program
Understand financial
strategies
Support the business process
Collaboration skills
50% of workers will be
Millennials
Digital Needs – based on above discussion
Leadership visibility ot overall processes KPI and need for
showing details when needed
Data driven decision making and identification of actionable
insights
Business goals are aligned with Enterprise strategic goals
Operational management to meet day to day compliance and
operational requirement
Risk identification, Risk management
Collaboration and flow of single truth of information acorss
the organization
Digital Technology enablers
IoT
Azure IoT Reference Architecture, 2018
Cloud
Artificial Intelligence – commonly available
machine learning tools
Big Data
Azure HDInsight Reference Architecture, 2018
Azure Blockchain Scenario, 2018
Digital Case Studies
Case Study: 1. Connected workers / Worker
Safety Solutions
https://github.com/brtbook/brt
Case Study: 2. Process Safety management
(Incident and Safety management)
Worker Safety Solutions, DSS, 2018
Case Study 3. Leading indicators and predictive
incidents statistics (Incident and statistics)
Worker Safety Solutions, DSS, 2018
Case Study 4: Chat Bots for Real time Plant safety / incident / spillage
support inside the plant
Case Study 5: Process Automation for meeting daily
repetitive tasks
Case Study 6.1: Water Quality management within
industries (Online Pollution Monitoring system)
Geeta & Goswami, Water,
Journal, 2017
Jayakumar I et.al., 2006
Case Study 6.2: Air Quality management (Online
Pollution Monitoring system)
Case study 7. Customer perception of products
and risk (EHS Product risk)
Text mining is a specialized field that
applies data mining technique to
extract sentiment of individuals or
communities.
Sentiment analysis can be a
combination of supervised or semi
supervised or un supervised
classification tasks.
Various methods to create text
analysis using Python or R, involving
oAuthHandler, NLP, gensim can be
found in GitHub literature.
Case study 8. Spills / maintenance notifications
via mobile devices
Case study 9. Drones for Unsafe places
assessment like Oil Drills
Unsafe place surveillance
Emergency chemicals monitoring
using drones / sensor systems
Using other technologies such as
laser scanning and GPS, the drones
will provide topographical information
about the new locations even before
sending people to the ground.
Case study 10. Surface Scanning of pipelines to
understand the potential for failures
Computer vision and AI can provide
deep insights about the potential
pipeline vulnerability for fractures
It helps in early identification of
issues and lesser incidents
Case study 11. Some Case Studies in Product
Safety Stewardship
ChatBots Supply chain communication
Product disclosure information
Case study 12. Some examples of Blockchain for
Environmental applications
i) Regulatory management of compositions with regulatory agencies and
industry consortia to better manage the payments requirement such as
some drafted regulations in EU
ii) Management of Hazardous substance waste and Solid waste
originating within the organization using a combination of IoT and
Blockchain
iii) Volume transaction management within the organization and outside
industry groups
iv) Real time SDS distribution among industry consortia and customer
base using blockchain read data options
v) REACh Regulation like regulatory management by Regulatory
agencies and their registration management and
vi) Conflict mineral management for banning sale / purchase of conflict
minerals from certain jurisdictions
vii) Tracking of materials for counterfeit
Actions for successful digitalization
Operation Management
PDCA Cycle
IT / OT Integration
Digital Worker Management
Digital Risk Management
Operations Management
Integrated IT infrastructure is one of the
major challenge faced by organizations
Systems, networks needs to work in tight
integration
Strong IT foundation is a must for the value
Other pillars strongly rely on the availability
of the streamlined operations management
Many companies put their efforts in this
pilar to consolidate their existing IT
infrastructures
“ To tap the potential of rapid digital change, companies have to create a comprehensively connected, smart, and fast supply network, integrating all affected partners, suppliers and customers, for instance, by drawing on integrated and compatible IT enabled systems”
Data Driven culture
EHS Data integration
EHS Data Analysis
EHS Data Ownership /privacy
EHS Data Security
Data Driven Culture
New sources like digital transactions, social
media usage, embedded sensors, mobile
devices, and RFID-tags all are part of the
digital data production explosion
The ability to efficiently analyse and asses
the data and information is one of the
competitive advantage
Data integration is one of the key
requirement for a successful digital
transformation
Selection of right Data analysis tools and
data privacy can not be undermined given
the nature of data types and security
concerns.
Customer Orinted model
Customer experience management
Customer insights
Channel management
Hybrid customer interaction
Customer Oriented Model
When digital technologies are rightly used
customers are more informed to evaluate,
purchase which makes them more
confident
Managing end user interfaces with proper
integration it chatbots more critical for the
companies
Offering holistic customer experience is
more important than efficiency alone
Customer engagement both within B2B,
B2C is very important like mobile tracking,
self service points, social data integration
etc.
Challenge is overcome the consolidation of
customer information from diverse sources
and using traditional and digital sources
successfully
Transformation Management
Data Strategy
Transformation Leadership
Change Management
Digital Value Assurance
Transformation management
Significant challenge faced by organizations
include embarking on digital journey without
disrupting the existing functionality
The identification of digital strategy based
on organizations goals, visions,
opportunities and related activities to
maximize potential is important.
Who is responsible for the digital
transformation is it CIO or CTO or CDO is
very important and have been discussed
and debated.
Value proposition
Smart products
Smart services
Individualization
Digital Ecosystem
Value Proposition
Traditional value propositions highlighted by
the companies might seem not valid in the
current digital time. Many born digital
companies are offering lot of capabilities
which are challenging the traditional
companies.
Smart products, Smart services and
customization to suit to customer
requirement is very important for deriving
value
Organizational alignment
Organizational Agility
Future Workplace model
Digital Skill set
Digital Mind set
Organizational Alignment
Companies requirement organizational
agility requiring bimodal organization
Agile development approaches, rapid
release cycles, a two-speed IT function,
automated testing, iterative “test and learn”
approaches like design thinking and lean
start up, integrated development and
operations as well as continuous
deployment of IT services
Digital skills set and digital mindset is
essential for the success
Customer Orinted model
Customer experience management
Customer insights
Channel management
Hybrid customer interaction
Organizational alignment
Organizational Agility
Future Workplace model
Digital Skill set
Digital Mind set
Value proposition
Smart products
Smart services
Individualization
Digital Ecosystem
Transformation Management
Data Strategy
Transformation Leadership
Change Management
Digital Value Assurance
Operation Management
PDCA Cycle
IT / OT Integration
Digital Worker Management
Digital Risk Management
Data Driven culture
EHS Data integration
EHS Data Analysis
EHS Data Ownership /privacy
EHS Data Security
Putting all things together
Digital Transformation for EHS Blueprint for Product
Stewardship Processes
Deep Learning & Machine Learning
Digital Skills
Mobility / Alerts
ChatBots
KPI & Dashboards
Digital Mindset
Future workplace solutions
Digital Transformation for EHS Blueprint for Environmental
Management
Mobility / Alerts
ChatBots
KPI & Dashboards
Digital Technologies
Predictive Analytics
Vision Technologies
Vision technologies for Piplelines
incidents
Drones for Remote monitoring
Worker Safety Solutions
Technology enablers for Digital Transformation of
EHS
Market Analysis Reports from IDC, Gartner, on Digital Partners
Many System integrators provide consulting expertise
Verdantrix published a EHS Vendor selection report assessing over 30+
software vendors
LNSResearch published an article on Digital Transformation of 4.0
How to start with Digital Transformation of EHS
• Do You know what digital activities are underway across the enterprise ?
• What are your customer touch points for potential disruptions
• What will your industry look like in 5, 10 and 20 years ?
• How to start your digital future and where to start ?
• How to ensure you have visibility of the end game ?
• Are business okay for multi year budgetary requirement ? How your vision
fits into the overall goal ?
• Smartify products and extend by services
• Identify data / garbage in and needed data for transformation
Ph: +91 – 9618553087
Jayakumar I Next Topic: Use of SAP Leonardo based digital Transformation of
EHS (Bio-modal architecture for managing EHS)