Design and development of automobile assembly model using federated artificial intelligence with smart contract
2021
With smart sensors and embedded drivers, today’s automotive industry has taken a giant leap in
emerging technologies like Machine learning, Artificial intelligence, and the Internet of things and started
to build data-driven decision-making strategies to compete in global smart manufacturing. This
paper proposes a novel design framework that uses Federated learning-Artificial intelligence (FAI) for
decision-making and Smart Contract (SC) policies for process execution and control in a completely
automated smart automobile manufacturing industry. The proposed design introduces a novel
element called Trust Threshold Limit (TTL) that helps moderate the excess usage of embedded
equipment, tools, energy, and cost functions, limiting wastages in the manufacturing processes.
This research highlights the use cases of AI in decentralized Blockchain with smart contracts, the
company’s trading policies, and its advantages for effectively handling market risk assessments
during socio-economic crisis. The developed model supported by real-time cases incorporated cost
functions, delivery time and energy evaluations. Results spotlight the use of FAI in decision
accuracy for the developed smart contract-based Automobile Assembly Model (AAM), thereby
qualitatively limiting the threshold level of cost, energy and other control functions in procurement
assembly and manufacturing. Customization and graphical user interface with cloud integration
are some challenges of this model.
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
64
References
0
Citations
NaN
KQI