1. Presentation Title Smart Manufacturing PresenterMitesh Patel (mitesh.patel1@tcs.com) SessionSession 5: Internet of Things (Smart Manufacturing) Document Name/Version 26 April 2016

2. Tenant of smart manufacturing

3. Reliance on network technologies will be extremely high leveraging cloud / network based resources due to new technology adoption and change in business models Products / Machine / output as a service scenarios will need constant connectivity Newer technologies like additive manufacturing will increase demand for low latency high bandwidth needs

4. Few demanding applications of smart manufacturing Use case Most challenging requirementsValue Cellular access technology Cell automation Latency Reliability 0.5ms 99.99999995G (uMTC1) Automated guided vehicle Mobility Reliability 10m/s 99.99999LTE, 5G Process automationReliability99.9999999 LTE, 5G (mMTC, uMTC) Logistics transportation tracking Numb. devices 2 Coverage 100000/sqkm GlobalLTE Components tracking Numb. devices 2 Mobility 1000000/sqkm StaticLTE Remote assistanceReliability99.999%5G (uMTC) Augmented realityData rate10Gbps5G (xMBB) Remote robot controlReliability99.999%5G (uMTC) 1xMBB (Extreme Mobile Broadband), uMTC (Ultra reliable Machine Type Communication), mMTC (Massive MTC) are the main 5G services [1]. 2The device density should be seen as indicative (and upper-bound), since it might vary enormously from one case to another. The ITU-R IMT-2020 recommendation was used as a reference; see ITU Radiocommunication Sector ITU-R, “Framework and overall objectives of the future development of IMT for 2020 and beyond,” Recommendation ITU-R M.2083, September 2015. Data source credits: Ericsson

5. Horizontal policy issues that affect the Internet of Things Enabling devices and systems to connect with each other on a technical level, typically through reliance on common standards The ability of consumers and businesses to safeguard their own personal or business data in a world of m2m transmissions. Ensuring that devices, networks, and applications are secured from threats by malicious actors Where, how, and when the vast amounts of data generated from individual sensors and devices will be stored. Ensuring that sensor-enabled and network- aware devices are able to transmit their data in a manner that uses resources efficiently. Interoperability PrivacySecurity Data Storage Spectrum & Bandwidth Smart manufacturing challenges as we see

6. Network Functions Virtualization NFV pertains to the virtualization of specific functions of the network which are currently done in hardware. This virtualization happens by consolidating the functionality of the hardware onto general purpose, high-performance and scalability servers which can be scaled back to more convenient parts of the network, such as the data centre or the network edge. Agility Increased agility in delivering services owing to the flexibility of cloud computing and edge computing. Flexibility Ability to roll out new network services on an ad-hoc, self-service, or even on demand basis Responsiveness Traditional process of rolling out new services by installing on premises is eliminated, reducing the additional configuration time from weeks to days to hours Automation Operators can implement a level of service automation, whereby services are selected and automatically rolled out as and when required Increased network function virtualization will be needed

7. Thank You