The document discusses the Industry 4.0 revolution, highlighting the significance of cloud, mobile, AI, and IoT technologies in transforming industrial operations. It emphasizes that companies will compete based on their ability to implement Industry 4.0 solutions, rather than relying on low-cost talent. Recommendations include starting small with technology investments and finding partners who can bring their visions to life.

1. Industry 4.0 Made Easy
Rich Rogers
CEO
Xemelgo, Inc December 2, 2021

2. Our CTO Akhila Tadinada won
highest award for technical
achievement at Hitachi
Our CEO Rich Rogers with Hitachi President & Hitachi CEO

3. Industry 4.0 Made Easy
Agenda
• Industry 4.0 Revolution
• Enabling Technologies
• Example Applications

4. The Industrial Revolution: 1760 – 1840
Water & steam power enable machine made goods
The Second Industrial Revolution: 1870 – 1914
Electric power & interchangeable parts enable mass production
The Digital Revolution: 1947 – Today
Electronics & information technology automate & integrate business operations
The Industry 4.0 Revolution
Cloud, mobile, AI, & IoT technologies automate & integrate industrial operations

5. Industrie 4.0
Industrie 4.0
Society 5.0
Made in
China 2025
4IR
Factories of
the Future
Russia 4.0
The rumors of the demise of
the U.S. manufacturing industry
are greatly exaggerated.
– Elon Musk
Industry 4.0 Revolution

6. This century software will bring machines &
factories to life in entirely new ways.
Last century electricity brought machines &
factories to life.

7. We are moving from a computer on every desk, in every home, & in every pocket –
to a computer in every machine

8. Revolution in the Retail Space

9. Industrial companies have the lowest
revenue per employee
Competing without software is like
competing without electricity.

10. Last century manufacturers competed based on
their access to low-cost talent.
This century manufacturers will compete based
on their ability to deploy Industry 4.0 solutions.

11. Markets are disrupted by new entrants.
Industry 4.0 includes both Smart Operations and
Smart Connected Products.

12. Technology is a differentiator for recruiting &
retention.
The new workforce does not want to waste their
time on menial tasks.

13. Apps for the Factory Floor – Enabling Technologies
Cloud Mobile
AI IoT

14. Cloud Computing - Before & After
• Solutions typically deployed in an closet
• Requires hardware, IT expertise, power,
cooling, cabling, etc
• Difficult to secure & upgrade
• Solutions can be one or two decades old
• No computer hardware or IT expertise
required
• On-demand pay-as-you- go models
• Security built-in as a feature
• Software upgrades automatically in real-time

15. Mobile - Before & After
• Leaders have to constantly go back to their
desk to access systems.
• Legacy systems are ultra-complex; requiring
extensive training & support.
• Issues found by running time-intensive reports
and sifting through mountains of data.
• Access your data and applications 24/7/365
from anywhere in the world.
• Mobile apps are designed for ease of use; no
user manuals or complex classroom training.
• Mobile notifications alert you to operational
issues in real-time.

16. Artificial Intelligence - Before & After
• Production scheduling boards updated
manually.
• Leaders and team members make important
decisions based on stale data.
• Production schedule constantly invalidated
based on new information.
• AI continuously processes incoming data.
• Emerging issues are detected and
communicated in real-time.
• Schedules dynamically updated and
distributed based on the most up-to-date
information.

17. Internet of Things - Before & After
• Need to manually enter or bar code scan data.
• Need to personally visit machines in order to
assess their current state.
• Lack of visibility into utilization rates.
• Maintenance schedule typically based on
calendar time.
• Business systems updated automatically via
sensors.
• Machines notify leaders & team members
when idle or operating under capacity.
• Machines alert leaders when they need
maintenance.

18. Cloud Mobile IoT
AI
Example Applications

19. • Inventory items tagged with RFID
• Sensors detect items pulled from inventory
• App notifies users when inventory is running
low, or if items are expiring
• AI recommends shopping cart of items to
order to get back to optimal levels
• Work orders tagged with RFID
• Sensors detect items entering departments
• App notifies users of production bottlenecks,
stalled orders, and missed steps
• AI prioritizes orders to be worked based on
real-time data
Inventory Work Orders

20. • Locate assets with a “Find My iPhone” style
solution
• App notifies users when assets require
calibration or replacement
• AI alerts you when asset removed from its
“Home Base”
• Ensure that shipments get grouped correctly
and loaded to the proper vehicle
• Real-time visibility that orders are en-route
• Notify users if incomplete orders are delivered
• Origin can see that shipments were delivered
& received
Assets Shipments

21. © 2021 Xemelgo, Inc. All rights reserved.
Recommendations
• Start small, but start. Identify your “Simple web site selling books” project.
• Apply your learnings to progressively more challenging projects.
• Find a technology partner that listens to you, and brings your vision to life.
• Start small, but think broadly. Simple technology investments will help you across the
board – including with morale, recruiting & retention.
• Stop tolerating IT waste; such as data entry & barcode scanning
• Eliminate menial tasks; such as looking for things.

22. Thank you…
Rich.Rogers@Xemelgo.com