IoT and the Supply Chain

1. NATIONAL TECHNICAL UNIVERSITY OF ATHENS
NTUA
IOTWeek2014-Workshop“IoTforManufacturingEnterprises:
FP7achievementsandH2020challenges”
London,UK
Dr. Sotiris Koussouris
skous@me.com
@skous
DSSLab - NTUA
18/06/2014
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2. • A DMN is a temporal or permanent coalition, comprising
production systems of geographically dispersed SMEs and/or
OEMs that collaborate in a shared value-chain to conduct joint
manufacturing.
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Each member of the DMN produces one or more
product components that can be assembled into final
service-enhanced products under control of a joint
production schedule.
Production schedules are monitored collectively,
while products are composed and (re-) configured on
demand through dynamic and usually ad-hoc inter-
organisational collaborations that can cope with
evolving requirements and emergent behaviour.
http://www.imagine-futurefactory.eu

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IoT
IoT
IoT
Introduction of IoT
IoT
IoT
IoT

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7. • Manufacturing
• Shop Floor Controllers - Automators
• Machine Sensors
• Environmental Sensors
• Assembly Line
• RFIDs
• Logistics
• RFID
• Location Sensors
• Temperature Sensors
• NFC
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8. Many technologies are here, but combined usage is still behind
• Shift away for pure experimentation and deploy networks of IoTs -
Interoperability is still an issue!
• Real-Time processing of manufacturing (IoT) data, complementing
with patterns from historical logs
• Make products and components smart themselves!
• Cognisant IoT - Smart Devices having multi objective targets or/and
talking to each other and collaborate towards common, factory goals
(e.g. lower room temperature but also care for energy efficiency)
Other issues include:
• Data Confidentiality and Security
• IPRs
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https://www.flickr.com/photos/12596/
Power to the people !
By Shoppers_on_Dundas,_near_Yonge.jpg: Ian
Muttoo derivative work: Pbsouthwood
Workers Consumers

10. Access to Information
published through IoT on
their:
• Mobile Phones
• Tablets
• Phablets
• Computers
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11. Wearables offer:
• Personalised BI & Analytics
• Notifications
• Improves Sensing (for
machines)
• Safety Instructions
• Quick
Information/Knowledge
exchang
• Biosensing
Placing Human Intelligence
where it’s needed, when it’s
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12. • World Population: 7.17 bn
• Internet Users: 2.4 bn
Social Media could serve manufacturing
for:
• Identification/Improved Prediction of
latent consumer needs
• Detection of Real-Time Market
Opportunities
• Mining Trends and Public Opinions on
Products/Services
• ... but also as an IoT platform
supporting also a more user-friendly
way (Twitter's thoughts of becoming
the core IoT platform...)
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SocialMedia Today Infographic

13. • Sensors are usually deployed as Sensor Grids BUT Communication between
grids is not addressed as needed
• The Cloud can be seen as a controller of and resource provider for IoT
• Manufacturing Software moving to the Cloud? Happening right now!
• Some offerings:
• Sensor as a Service
• Sensor Processing as a Service
• Social Sensors for "crowdsourcing" intelligence
• Manufacturing leveraging at the same time IoT and the Cloud may:
• Improve Interoperability between entities
• Realise the vision of a fully connected and monitored Supply Chain
• Conduct Effort Intense operations (analytics, etc.)
• Offer Innovative Business Models such as Pay as you Go, Leasing, etc.
• Combine data and information from external sources
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14. NATIONAL TECHNICAL UNIVERSITY OF ATHENS
NTUA
IOTWeek2014-Workshop“IoTforManufacturingEnterprises:
FP7achievementsandH2020challenges”
London,UK
Dr. Sotiris Koussouris
skous@me.com
@skous
DSSLab - NTUA
18/06/2014
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