Researchers in industrial and systems engineering are proposing the creation of a public, open-source network that uses blockchains — the technology behind cryptocurrencies — to share verifiable manufacturing data. The system could be used as a peer-to-peer network that allows companies to find small- and medium-sized manufacturers that are capable of producing specific components on a reliable basis.
“Small- and medium-scale manufacturers often lack the resources and network reach necessary to make all of their potential clients aware of their manufacturing capabilities,” says Dr. Binil Starly, corresponding author of a paper on the work and head of NC State’s Data Intensive Manufacturing Environment Lab.
So clients can find the right manufacturers, and manufacturers can find new clients, without relying solely on claims made in marketing materials.
“A public network like the one we’re proposing would help potential clients find manufacturers with relevant expertise and equipment in an efficient way,” says Starly, who is an associate professor in the Edward P. Fitts Department of Industrial & Systems Engineering.
“Our approach, called FabRec, would allow companies to automatically report about their manufacturing activities: which machines are being used, what materials they are working with, raw material inventory levels, whether the work is being completed on time, and so on,” says Atin Angrish, a Ph.D. student in Starly’s lab and first author of the paper.
“Because these updates are automated, users can be fairly certain that the information is accurate,” Angrish says. “And because it’s being done through the blockchain, which allows event logs to be traced to their source, there is accountability. So clients can find the right manufacturers, and manufacturers can find new clients, without relying solely on claims made in marketing materials.”
To demonstrate the viability of the concept, the researchers created FabRec — a publicly accessible, prototype network that currently accepts input from a handful of machines.
The paper was co-authored by undergraduate student Benjamin Craver and Ph.D. student Mahmud Hasan, both members of Starly’s lab.