The document discusses how distributed manufacturing networks (DMNs) can utilize internet of things (IoT) technologies. DMNs involve geographically dispersed small- and medium-sized enterprises collaborating on a shared value chain. IoT sensors on machinery, environmental conditions, RFID tags, and other devices can monitor production schedules and compose products on demand. While many IoT technologies exist, combined usage remains limited by interoperability issues. Fully integrating manufacturing data from IoT networks with historical logs could enable real-time processing. Making products and components "smart" through multi-objective devices that collaborate could further optimize factory goals like efficiency. The cloud can help control and provide resources for interconnected IoT and sensor grids.

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
1

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
14