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What IoT transformation will
enable on Industry?
For Workers
The enabling to do more than
actually do with safety and precision
For Companies
The enabling to fast adapt to the
market and increase margins by
innovation in:
Efficiency
Productivity and Quality
Safety
Sustainability
Industry 4.0
Welcome to the age of Industrial Internet
The Germany's vision:
The revolution will be digitised
"... We must - and I say this as the
German chancellor in the face of
a strong Germany economy - deal
quickly with the fusion of the
online world and the world of
industrial production.
In Germany, we call it
Industrie 4.0 ..."
Definition of Industry 4.0
Industry 4.0 Environment
Driven
disruptions
Driven disruptions
1 - Astonishing rise in data volumes (big data)
2 - Computational power (cloud computing)
3 - Connectivity (specially low-power in wide-area networks)
4 - Emergence of analytics and business-intelligence capabilities:
- new forms of human-machine interaction such as touch
interfaces and augmented-reality systems;
- improvements in transferring digital instructions to the
physical world, such as advanced robotics and 3-D printing.
Digitalcompass
Technology Exploration
Studying applicability of digital thinking with Internet of Things
Office Experience - Analytics
Office Resources Optimization
Do you know the "no show" rate in your
company's meetings rooms?
In CI&T the rate is about 40%!
Stop and think about the cost of it!
Space's resources available with no use?
Or maybe worst, employees walking for
minutes looking for a meeting room?
Technology Exploration
Studying applicability of advanced analytics with Internet of Things in Industry
Production Data - Chain of Algorithms
Preventive Maintenance
Minimize Non-Productive Time (NPT) by
monitoring equipment or product utilization
in a live environment to identify patterns that
indicate imminent failure. For revenue-
generating operations equipment, downtime
results in significant lost revenue as well as
costly repairs.
Technology Exploration
Studying applicability of advanced analytics with Internet of Things in Industry
Sensors Based - Analytics
Assembly Line Quality Assurance
Take measurements of work-in-progress
products to find manufacturing defects as
early as possible, while also identifying any
potential process or design flaws. Since
defects are typically the result of many
factors, analyzing long histories of assembly
line sensor data can find subtle anomalies
that signify product flaws.
Technology Exploration
Studying applicability of advanced analytics with Internet of Things in Industry
Sensors Based - Data
Smart Warehousing
Real-time visibility: without real-time visibility,
the operating is in the dark, relying on your
best guess rather than actual information to
optimize performance.
Inventory accuracy: Manual data collection
spells inventory disorder. Too many
warehouse operators spend a
disproportionate amount of time chasing lost
or misplaced pallets as a result of data entry
errors.
Business Team
IoT Team
Technology Exploration
Technical Viability: Explore and prove the concept by Design Thinking
Digital Strategist
2-4 Weeks of Work
https://about.me/peralles

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What Internet of Things will enable on industry

  • 2. What IoT transformation will enable on Industry?
  • 3. For Workers The enabling to do more than actually do with safety and precision
  • 4. For Companies The enabling to fast adapt to the market and increase margins by innovation in: Efficiency Productivity and Quality Safety Sustainability
  • 5. Industry 4.0 Welcome to the age of Industrial Internet The Germany's vision: The revolution will be digitised
  • 6. "... We must - and I say this as the German chancellor in the face of a strong Germany economy - deal quickly with the fusion of the online world and the world of industrial production. In Germany, we call it Industrie 4.0 ..."
  • 7. Definition of Industry 4.0 Industry 4.0 Environment
  • 9. Driven disruptions 1 - Astonishing rise in data volumes (big data) 2 - Computational power (cloud computing) 3 - Connectivity (specially low-power in wide-area networks) 4 - Emergence of analytics and business-intelligence capabilities: - new forms of human-machine interaction such as touch interfaces and augmented-reality systems; - improvements in transferring digital instructions to the physical world, such as advanced robotics and 3-D printing.
  • 11. Technology Exploration Studying applicability of digital thinking with Internet of Things Office Experience - Analytics Office Resources Optimization Do you know the "no show" rate in your company's meetings rooms? In CI&T the rate is about 40%! Stop and think about the cost of it! Space's resources available with no use? Or maybe worst, employees walking for minutes looking for a meeting room?
  • 12. Technology Exploration Studying applicability of advanced analytics with Internet of Things in Industry Production Data - Chain of Algorithms Preventive Maintenance Minimize Non-Productive Time (NPT) by monitoring equipment or product utilization in a live environment to identify patterns that indicate imminent failure. For revenue- generating operations equipment, downtime results in significant lost revenue as well as costly repairs.
  • 13. Technology Exploration Studying applicability of advanced analytics with Internet of Things in Industry Sensors Based - Analytics Assembly Line Quality Assurance Take measurements of work-in-progress products to find manufacturing defects as early as possible, while also identifying any potential process or design flaws. Since defects are typically the result of many factors, analyzing long histories of assembly line sensor data can find subtle anomalies that signify product flaws.
  • 14. Technology Exploration Studying applicability of advanced analytics with Internet of Things in Industry Sensors Based - Data Smart Warehousing Real-time visibility: without real-time visibility, the operating is in the dark, relying on your best guess rather than actual information to optimize performance. Inventory accuracy: Manual data collection spells inventory disorder. Too many warehouse operators spend a disproportionate amount of time chasing lost or misplaced pallets as a result of data entry errors.
  • 15. Business Team IoT Team Technology Exploration Technical Viability: Explore and prove the concept by Design Thinking Digital Strategist 2-4 Weeks of Work

Editor's Notes

  • #4: Comentar o risco de segurança com exemplos dos problemas de uma linha de produção Sobre precisão comentar o método poka yoke criado na década de 60 para prevenir erros humanos (https://en.wikipedia.org/wiki/Poka-yoke)
  • #5: Comentar sobre a movimentação nas empresas em adaptação rápida permitindo cada vez mais a customização de seus produtos fisicamente - Motorola , Dell Busca pela melhoria contínua com aumento da produtividade com melhor uso da capacidade instalada
  • #8: “Industry 1.0 was the invention of mechanical help Industry 2.0 was mass production, pioneered by Henry Ford Industry 3.0 brought electronics and control systems to the shop floor Industry 4.0 is peer-to-peer communication between products, systems and machines.”