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Industry 4.0, Smart factories, IoT, and others….
Industry 4.0 is the idea (and reality) of a Next Generation of Manufacturing
automation that includes
• Connected equipment – often with interconnected intelligence with
• Self-learning capabilities (cyber-physical). It also integrates cloud computing.
• Advanced manufacturing
• Digital manufacturing enterprise
Copyright InSource Solutions @2016
Simplify - basic building-blocks of IoT and IIoT
Will it look the same for everyone?
Fundamental
IoT or IIoT
architecture
Source: Why IoT is Different Than Past Technology Evolutions; Internet of Things Institute, IndustryWeek, Dec.. 06, 2016
And another from IndustryWeek
Confidential Property of Schneider Electric |
Managed Services
Application Services
Data Symantec &
Contextualization
Machine Learning &
AnalyticsDevice Lifecycle
Management
Remote Connectivity
& Control
Raw and
Structured
Data Store
Configure &
Upgrade
Contextualize
Semantics & Rules
Localized Machine
Learning & Analytics
Configuration &
Messaging
Discovery &
Onboarding
Collect & Store
Actuating Embedded
Intelligence
Connect Collect Analyze Act
Digital Services Platform
Smart Operations Platform
Device Intelligence Platform
Hardware agnostic
connectivity
Drivers, Toolkits and
Templates
Manufacturing,
Process, and
Equipment Data
aggregation
Data abstraction &
Contextualization
Predictive Analytics,
Models &
Visualization
Apply Rules,
Models & Workflow
Business Logic for Closed
Loop Operations
Wireless Sensors
Cloud
Gateways
Device Intelligence Platform
Smart
Operations
Platform
Digital
Services
Platform
.io
Smart Operations Value Enabler
Software IIoT Value Position in the EcoStruxure.io Stack
DataSources
Connect Collect Analyze Act
Connect Collect Analyze Act
Software Portfolio
6
Revolution or Evolution
Revolution or Evolution
Revolutionary Evolutionary
Consumer? Industrial?
Evolution of Historian infrastructure
“Nothing new under the sun”
Its’ evolutionary….
Evolution of Historian infrastructure
Probably “something new under the sun”
… and yet evolutionary
Key Differences IoT vs IIoT
Source: Industrial Internet of Things: PROFINET Intro, youtube.com
Categories IoT IIoT
Impact Revolutionary Evolutionary
Focus “Things” Data
Connectivity Ad Hoc Structured
Criticality Important Mission Critical
Service User You + Vendor
Standards New Devices & Standards Existing Devices & Standards
Who can guess what
BAUD rate SIGFOX
IoT networks talk to
devices (things)?
Getting IoT data – what’s the impact?
Inexpensive data?
Survey of most likely spend on IoT
What you
might expect
Copyright InSource Solutions @2016
One size does not fit all
Rationalize relative to the industry type and business objectives.
“I’ve been told that IoT data will be Inexpensive data”
Probably not Probably
Inexpensive data?
 Xmtr - $1500
 I/O - $500 per point
 Mechanical - $4000
 Electrical - $2500
 Engineering and Prog.
 $10,000 per point
Leverage what you have NOW - Inexpensive data
Less expensive data
 I/O - $50 per point
 Mechanical - $0
 Electrical - $500 (several
points)
 Engineering and Prog.
 $100 per point
Advantech wireless I/O
Very inexpensive alternatives for some users
https://www.particle.io/
Inexpensive advancements for mainstream Manufacturing
Wireless energy sensor
Embedded sensors
Smart Breakers
Collect lots and lots of data… Joy!!
 How do I rationalize relevant data?
 What does it all mean?
We love our Historian data
New Apps are making it EXCITING & empower users
 Access to data outside of the process control network; SECURELY.
 Collect data from Stranded Assets
 Consolidate information from multiple data sources on the
same page
 Minimally engineered data - reduces skill-set to acquire and
use the data + Real analytics – not just trends.
 Expose hidden opportunities & Enhance decision-making
with personalized & relevant information everywhere
 Empower people to become active participants in real-time work
streams
Enables Swarming concepts for multiple people to engage
Apps that Predict
 Modeling equipment using advanced pattern
recognition
 Profile Equipment based on historical data
 Monitors behavior relative to “normal” in real-time
 Alerts and early warning when the operation differs
from the historical norm based on pattern recognition.
 Advanced analysis capabilities including problem
identification and Root cause analysis
Getting executives buy-in for IoT - The “Belief” problem
Some leadership is not ready and skeptical
 Most fear they don’t have the infrastructure in
place - many will require major upgrades or
overhauls.
 More than 1/3 have no plans to develop an IoT
strategy for processes or products.
 Most don’t have a BYOD policy.
Some biggest challenges
 Identifying opportunities w/real benefits from IoT (44%)
 Budget/resources to develop or expand to IoT (37%)
 Incorporating smart devices/embedded intelligence (37%)
 Adapting existing technologies (36%).
IT and OT not collaborative enough for IIoT
“Effective use of the IoT requires more than just technology: operations technology (OT) staff
need to collaborate with IT staff. Yet most OT and IT departments don’t currently get along”
Who can say “our IT
and OT departments
are on the same page
and ready to work on
an IoT project
together?”
Known technology and CI failures
60% of process improvement initiatives fail to achieve
desired results.
50% of technology projects are failing (IIoT or otherwise)
 Financial impact? Yes
 Demoralization of employees? Yes
“I’ve been on dozens of task teams in my career, and I’ve
never actually seen one that produced results.”
https://hbr.org/2003/09/why-good-projects-fail-anyway
Satya Chakravorty, Wall Street Journal June 14, 2012
Will IoT make that better or worse…
The skeptical manufacturing executives
(relative to technology spend)
“Where have I heard this before”
“We have an idea for a new
IoT project - its gonna be
great”
Been there – done that, no thank you!
2012 20152009Y2K
MES Quality DowntimeERP
Copyright InSource Solutions @2016
The face of your executive
We’ve got to get better at delivering Sustainable results
and IIoT is our opportunity to get a fresh new start!
The Disappointment
• Did not save $$$
• 10 year ROI
• Perf. spiked but returned
• A little product out the door but…
• Reduced downtime/then returned.
• No labor savings
• Minimal reduction in scrap and
rework.
The Promise
• Saves us $$$
• Quick ROI
• Improve Performance
• More product out the door
• Reduce downtime
• Save labor cost
• Reduce scrap and rework
Get off the roller coaster of disappointment
Not this…. But this….
Copyright InSource Solutions @2016
Anyone know an
executive that feels
BURNT by past
technology promises?
Copyright InSource Solutions @2016
The problem with Sustaining results –
….we don’t know how….
Continuous Improvement models can help - but….
https://goleansixsigma.com/dmaic-five-basic-phases-of-lean-six-sigma/
Automation?
we get it…. Biggest
challenge
Operations?
we don’t get it….
Creating sustainable competitive advantages with IIoT
Lack of know-how
or understanding
InSource System for Management model
How am I measured?
How do I plan?
By what standard?
Am I trained to do that?
IoT (yea!) but its not enough in most cases
Copyright InSource Solutions @2016
Scalable Solutions thinking - 3 ways to approach IoT
Point/Framework/Sustainable
Scalable IoT solutions
Point Framework Sustainable
 Get quick results – short term
win, Proof of concept., Hero
badge 
 Simple I/O and cloud reporting
 Training
 Discovery / Deployment
assistance
 Minimal cost and risk
 Plan that aligns with business
goals. Don’t buy too quickly.
 Confidence in the right approach –
not dart throwing.
 A Technology foundation that will
scale to enterprise levels.
 ROI projections
 Longer term partners
 Align strategic objectives carefully
before any technology picks.
 Understand impact on People &
culture as part of the plan.
 Define requirements early in the
process for People, Process, &
Technology
 Execute with capable partners for all
three.
What are my options?
Operational Efficiency leveraging IoT
Point Framework Sustainable
Copyright InSource Solutions @2016
Get going quickly
Real live data you can see and play with!
 Leverage what you ALREADY have
 Add capabilities you DON’T have
Copyright InSource Solutions @2016
Break time!
Is IIoT right for me – Probably in some capacity
Summary and
call to action
Get on the train with other industry leaders
Exciting times
WW 2017 & IIoT
Summary and call to action
WW online….have some fun.
30 days free!!
Starter kit for 100 points on the cloud is 2,000/yr
Acquire some I/O from Advantech
• and use that to capture something you don’t already have – maybe
something currently stranded. (Giving one away today!!)
• Inexpensive way to get started
Experiment - be the hero!!
• PUSH some existing data to the cloud and build some simple
dashboards, be a hero!
Summary and call to action
No single answer – each site need is likely different.
Start the conversation at your site
 Infrastructure - Do you have what it takes to enable IoT?
 IT and OT What steps do they need to take to enable
success?
 What solutions make sense for your business and do they
need to be cloud based, local, edge based solutions?
 Partners - Do we know the right ones to ensure success?
Summary and call to action
Do your part in this new IoT world….
Help us stop the loss of confidence in technology solutions that
have a short shelf-life. We owe it you our leadership and to each
other. Build Sustainable results.
We are here to help - get in touch with your InSource
Account executive - and find out how InSource can help with a
unique approach to Point, Framework, or Sustainable solution.
Is IIOT Right for You?

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Is IIOT Right for You?

  • 1.
  • 2. Industry 4.0, Smart factories, IoT, and others…. Industry 4.0 is the idea (and reality) of a Next Generation of Manufacturing automation that includes • Connected equipment – often with interconnected intelligence with • Self-learning capabilities (cyber-physical). It also integrates cloud computing. • Advanced manufacturing • Digital manufacturing enterprise
  • 3. Copyright InSource Solutions @2016 Simplify - basic building-blocks of IoT and IIoT Will it look the same for everyone?
  • 5. Source: Why IoT is Different Than Past Technology Evolutions; Internet of Things Institute, IndustryWeek, Dec.. 06, 2016 And another from IndustryWeek
  • 6. Confidential Property of Schneider Electric | Managed Services Application Services Data Symantec & Contextualization Machine Learning & AnalyticsDevice Lifecycle Management Remote Connectivity & Control Raw and Structured Data Store Configure & Upgrade Contextualize Semantics & Rules Localized Machine Learning & Analytics Configuration & Messaging Discovery & Onboarding Collect & Store Actuating Embedded Intelligence Connect Collect Analyze Act Digital Services Platform Smart Operations Platform Device Intelligence Platform Hardware agnostic connectivity Drivers, Toolkits and Templates Manufacturing, Process, and Equipment Data aggregation Data abstraction & Contextualization Predictive Analytics, Models & Visualization Apply Rules, Models & Workflow Business Logic for Closed Loop Operations Wireless Sensors Cloud Gateways Device Intelligence Platform Smart Operations Platform Digital Services Platform .io Smart Operations Value Enabler Software IIoT Value Position in the EcoStruxure.io Stack DataSources Connect Collect Analyze Act Connect Collect Analyze Act Software Portfolio 6
  • 8. Revolution or Evolution Revolutionary Evolutionary Consumer? Industrial?
  • 9. Evolution of Historian infrastructure “Nothing new under the sun” Its’ evolutionary….
  • 10. Evolution of Historian infrastructure Probably “something new under the sun” … and yet evolutionary
  • 11. Key Differences IoT vs IIoT Source: Industrial Internet of Things: PROFINET Intro, youtube.com Categories IoT IIoT Impact Revolutionary Evolutionary Focus “Things” Data Connectivity Ad Hoc Structured Criticality Important Mission Critical Service User You + Vendor Standards New Devices & Standards Existing Devices & Standards
  • 12. Who can guess what BAUD rate SIGFOX IoT networks talk to devices (things)?
  • 13. Getting IoT data – what’s the impact? Inexpensive data?
  • 14. Survey of most likely spend on IoT What you might expect
  • 15. Copyright InSource Solutions @2016 One size does not fit all Rationalize relative to the industry type and business objectives.
  • 16. “I’ve been told that IoT data will be Inexpensive data” Probably not Probably
  • 17. Inexpensive data?  Xmtr - $1500  I/O - $500 per point  Mechanical - $4000  Electrical - $2500  Engineering and Prog.  $10,000 per point
  • 18. Leverage what you have NOW - Inexpensive data
  • 19. Less expensive data  I/O - $50 per point  Mechanical - $0  Electrical - $500 (several points)  Engineering and Prog.  $100 per point Advantech wireless I/O
  • 20. Very inexpensive alternatives for some users https://www.particle.io/
  • 21. Inexpensive advancements for mainstream Manufacturing Wireless energy sensor Embedded sensors Smart Breakers
  • 22. Collect lots and lots of data… Joy!!  How do I rationalize relevant data?  What does it all mean? We love our Historian data
  • 23. New Apps are making it EXCITING & empower users  Access to data outside of the process control network; SECURELY.  Collect data from Stranded Assets  Consolidate information from multiple data sources on the same page  Minimally engineered data - reduces skill-set to acquire and use the data + Real analytics – not just trends.  Expose hidden opportunities & Enhance decision-making with personalized & relevant information everywhere  Empower people to become active participants in real-time work streams Enables Swarming concepts for multiple people to engage
  • 24. Apps that Predict  Modeling equipment using advanced pattern recognition  Profile Equipment based on historical data  Monitors behavior relative to “normal” in real-time  Alerts and early warning when the operation differs from the historical norm based on pattern recognition.  Advanced analysis capabilities including problem identification and Root cause analysis
  • 25. Getting executives buy-in for IoT - The “Belief” problem
  • 26. Some leadership is not ready and skeptical  Most fear they don’t have the infrastructure in place - many will require major upgrades or overhauls.  More than 1/3 have no plans to develop an IoT strategy for processes or products.  Most don’t have a BYOD policy.
  • 27. Some biggest challenges  Identifying opportunities w/real benefits from IoT (44%)  Budget/resources to develop or expand to IoT (37%)  Incorporating smart devices/embedded intelligence (37%)  Adapting existing technologies (36%).
  • 28. IT and OT not collaborative enough for IIoT “Effective use of the IoT requires more than just technology: operations technology (OT) staff need to collaborate with IT staff. Yet most OT and IT departments don’t currently get along”
  • 29. Who can say “our IT and OT departments are on the same page and ready to work on an IoT project together?”
  • 30. Known technology and CI failures 60% of process improvement initiatives fail to achieve desired results. 50% of technology projects are failing (IIoT or otherwise)  Financial impact? Yes  Demoralization of employees? Yes “I’ve been on dozens of task teams in my career, and I’ve never actually seen one that produced results.” https://hbr.org/2003/09/why-good-projects-fail-anyway Satya Chakravorty, Wall Street Journal June 14, 2012 Will IoT make that better or worse…
  • 31. The skeptical manufacturing executives (relative to technology spend) “Where have I heard this before” “We have an idea for a new IoT project - its gonna be great”
  • 32. Been there – done that, no thank you! 2012 20152009Y2K MES Quality DowntimeERP
  • 33. Copyright InSource Solutions @2016 The face of your executive We’ve got to get better at delivering Sustainable results and IIoT is our opportunity to get a fresh new start! The Disappointment • Did not save $$$ • 10 year ROI • Perf. spiked but returned • A little product out the door but… • Reduced downtime/then returned. • No labor savings • Minimal reduction in scrap and rework. The Promise • Saves us $$$ • Quick ROI • Improve Performance • More product out the door • Reduce downtime • Save labor cost • Reduce scrap and rework
  • 34. Get off the roller coaster of disappointment Not this…. But this….
  • 35. Copyright InSource Solutions @2016 Anyone know an executive that feels BURNT by past technology promises?
  • 36. Copyright InSource Solutions @2016 The problem with Sustaining results – ….we don’t know how….
  • 37. Continuous Improvement models can help - but…. https://goleansixsigma.com/dmaic-five-basic-phases-of-lean-six-sigma/ Automation? we get it…. Biggest challenge Operations? we don’t get it….
  • 38. Creating sustainable competitive advantages with IIoT Lack of know-how or understanding InSource System for Management model How am I measured? How do I plan? By what standard? Am I trained to do that?
  • 39. IoT (yea!) but its not enough in most cases
  • 40. Copyright InSource Solutions @2016 Scalable Solutions thinking - 3 ways to approach IoT Point/Framework/Sustainable
  • 41. Scalable IoT solutions Point Framework Sustainable  Get quick results – short term win, Proof of concept., Hero badge   Simple I/O and cloud reporting  Training  Discovery / Deployment assistance  Minimal cost and risk  Plan that aligns with business goals. Don’t buy too quickly.  Confidence in the right approach – not dart throwing.  A Technology foundation that will scale to enterprise levels.  ROI projections  Longer term partners  Align strategic objectives carefully before any technology picks.  Understand impact on People & culture as part of the plan.  Define requirements early in the process for People, Process, & Technology  Execute with capable partners for all three. What are my options?
  • 42. Operational Efficiency leveraging IoT Point Framework Sustainable
  • 43. Copyright InSource Solutions @2016 Get going quickly Real live data you can see and play with!  Leverage what you ALREADY have  Add capabilities you DON’T have
  • 46. Is IIoT right for me – Probably in some capacity Summary and call to action
  • 47. Get on the train with other industry leaders Exciting times WW 2017 & IIoT
  • 48. Summary and call to action WW online….have some fun. 30 days free!! Starter kit for 100 points on the cloud is 2,000/yr Acquire some I/O from Advantech • and use that to capture something you don’t already have – maybe something currently stranded. (Giving one away today!!) • Inexpensive way to get started Experiment - be the hero!! • PUSH some existing data to the cloud and build some simple dashboards, be a hero!
  • 49. Summary and call to action No single answer – each site need is likely different. Start the conversation at your site  Infrastructure - Do you have what it takes to enable IoT?  IT and OT What steps do they need to take to enable success?  What solutions make sense for your business and do they need to be cloud based, local, edge based solutions?  Partners - Do we know the right ones to ensure success?
  • 50. Summary and call to action Do your part in this new IoT world…. Help us stop the loss of confidence in technology solutions that have a short shelf-life. We owe it you our leadership and to each other. Build Sustainable results. We are here to help - get in touch with your InSource Account executive - and find out how InSource can help with a unique approach to Point, Framework, or Sustainable solution.

Editor's Notes

  1. These concepts are associated with a new industrial revolution; i.e. the 4th Industrial Revolution. What ever term is used (e.g. IoT, IIoT, Industrie 4.0, Smart Manufacturing, Big Data, etc.) they are all “watch words” for the march of progress in respect to exploiting technology. For someone who has been active in manufacturing for almost 40 years (i.e. coming of age at the advent of the 3rd revolution), this feels to me like a natural evolution (or embrace of technology) for the purpose of improving productivity. While there are occasional “breakthroughs” giving significant short term gains, the dynamics are more reminiscent of an army marching on a long journey. When we look at it through the continuum of time, I think that we can sense progress, and it portends a realness. To those unprepared or not paying attention, the end result is the same. PROFINET (an acronym for Process Field Net) is an industry technical standard for data communication over Industrial Ethernet did a good job explaining the difference between IoT, IIoT and some other industry initiatives (e.g. Industrie 4.) IoT (on left): Probably what gets the most coverage in media In addition to people using the Internet there are relatively cheap connected (typically consumer) devices and machines that promote new application of technology Industrie 4.0 (on right): Is about optimization of the production process under the influence of the internet These are broad industry initiatives sponsored by states (e.g. Industrie 4.0 by the German government) or organizations (e.g. Smart Manufacturing Leadership Coalition – SMLC). IIoT (in the middle): Is at the intersection as it relates to industry / manufacturing Connected industrial devices that take on new challenges to promote efficiencies in industry I’m focusing today on IIoT; i.e. the “Industrial” Internet of Things
  2. The picture represents the fundamentals of the IoT thinking…. Information originates at the lower part, needs to get messaged up through some communication medium, then needs to get stored somewhere, and then needs some apps to make the information useful. Validation with an audit.
  3. While this model is represented differently, its pretty much the same at the IoT model. Inside of each platform there is a core set of technology capabilities that enable the systems, applications, and services we spoke about earlier. Take for example the Digital Services Platform where we connect and manage device lifecycle management, extracting, collecting, and storing the data required to enable analytics and machine learning, and finally the ability to act –wether through human intervention, managed services or application services.
  4. If you observe the picture on the right, someone would probably say that IoT had arrived many years ago. We’ve been connecting things for years, storing and analyzing it in the industrial market place.
  5. We’ve seen this – its not really new. This type if architecture is common since the middle 90’s. It’s evolving over time but not necessarily revolutionary.
  6. But this picture represents an idea that goes beyond out typical industrial solution mind-set.
  7. From Automation.Com, May 25, 2016 – Is IIoT Security a Showstopper? 4 Move-Forward Tips from Industry Experts Industry Experts Offer 4 IIoT Security Recommendations While manufacturers should remain vigilant about security in building an IIoT strategy, it should not prevent moving forward. Four solution providers who will exhibit at Industrial Automation North America 2016 offered these recommendations: Recommendation #1—Don’t assume cloud means Internet, Intranet works too “IIoT doesn’t need to be on the Internet. It can also be run on an Intranet. In fact, you can use both on-premise and publicly accessible clouds,” said Sloan Zupan, senior product manager, Mitsubishi Electric Automation, Inc. “To manage risk, manufacturers should determine the sensitivity level of the information to be shared, who needs access in the organization and then choose the best technology.” Recommendation #2—Modernize your security technology “Although security is a critical issue, it should not prevent a manufacturer from taking advantage of IIoT. A modern security framework requires a holistic defense-in-depth approach that addresses both internal and external threats to minimize vulnerabilities when applied appropriately,” said Beth Parkinson, market development director, The Connected Enterprise, Rockwell Automation. “Manufacturers need to assess current security processes and develop an evolution plan to use modern technology that offers layers and depth of security focusing on physical, network, computer, application and device security.” Recommendation #3—Focus on operational requirements, not IT policy “Operations and IT need to eliminate barriers and work together to create the right security. Although IT provides security, the person in charge of manufacturing operations provides an equally important perspective,” said John Kowal, director, business development, B&R Industrial Automation Corporation. “If operations describes a need, IT needs to consider the business imperative. What the operations team requires must be secured to move the business forward. IT does need to address security threats as they continue to evolve.” Recommendation #4—Break down who needs access to what “Manufacturers need to define basic rules about the access level for consumers of data,” said Greg Giles, executive director of MES, Red Viking. “Within that framework, security needs to be assessed against the potential threat presented by the data. Reasonable mitigation strategies should be implemented based upon the specifics. An application may require a basic web front-end encrypted with SSL, or could require a more stringent user identification system. For more sophisticated needs, servers may be configured in a manner which strikes an appropriate balance between security and ease of access, but, these security decisions start with defining needs.”
  8. As nice as it might be, with the diverse industrial and manufacturing landscape, we can’t really apply one single approach to the idea of leveraging the internet. IIoT thinking has to be rationalized relative to the industry type and business objectives.
  9. After the rollout everyone leaves and I have no support. If we don’t get the right people trained, we can’t be successful. The “How” is usually not there. IT often does ½ the job b/c they don’t have the budget needed to do the whole thing. Silo’s - everyone makes their careers off a particular initiative.
  10. Yes, I can install some cool technology that amazes everyone and gets some improvement Yes, I can get some efficiency improvements. No – I can’t typically sustain those if they involve how People need to work…. Therefore, you need some type of program to facilitate that type of change.
  11. Best in class organizations are having to consider People Effectiveness in addition to the technology if they are looking for long-term results. Using a model or blueprint like the one above helps organizations to achieve such results.