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Wednesday, March 13 • 11:25am - 11:40am
Manufacturing Management with Digital Twin

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Manufacturing management with process digital twin is poised to be ubiquitous in future. Emerging technologies such as artifical intelligene (AI) and Mixed Reality not just result in better KPI’s but also bridge the gap between the shop floor and top-floor. Decentralized manufacturing marketplaces would be a necessity to accommodate small manufacturing enterprises and individual additive manufacturers. Digital process twins play a crucial role in integrating these technological aspects and systematizing the flow of information and physical goods. IoT devices and smart contracts together can supplant the current ERP systems and eliminate the need of clerical data entry tasks and proof reading. For instance, OEM (Original Equipment Manufacturer) may track and record on a distributed ledger the breakdown and maintenance data of a type of machine sold to different customers. An AI agent can learn from one machine’s breakdown conditions and avoid it happening in other machines.

avatar for Nabeel Mehdi

Nabeel Mehdi

Graduate Student, North Carolina State University
Nabeel is a digital architect with over 5 year’s work experience in manufacturing and supply chain operations across UAE, India and US. He is currently pursuing MS in Industrial & Systems engineering from North Carolina State University (NCSU) and is research assistant at the Data... Read More →
avatar for Atin Angrish

Atin Angrish

PhD Candidate, North Carolina State University
PhD scholar @ NC State University specializing in deep learning for information retrieval in manufacturing domain and blockchain applications for the supply chain tracking. I am currently funded on an NSF grant working towards development of multimodal search techniques involving... Read More →

Wednesday March 13, 2019 11:25am - 11:40am PDT
3-Rm 104