Smart Agent System for Cyber Nano-Manufacturing in Industry 4.0

Applied Sciences

Salil Desai¹  Naif Almakayeel²  Mohamed Rafik Noor Mohamed Qureshi²  Saleh Alghamdi² 

[1] Department of Industrial and Systems Engineering, North Carolina A&T State University, Greensboro, NC 27411, USA;Industrial Engineering Department, King Khalid University, Abha 62529, Saudi Arabia;

关键词: artificial neural network (ANN);    cyber-physical systems (CPS);    Industry 4.0;    Internet of Things (IoT);    nanomanufacturing;    smart expert system;   

DOI  :  10.3390/app12126143

来源: DOAJ

【 摘 要 】

The development of Cyber-Physical Systems (CPS) and the Internet of Things (IoT) has influenced Cyber-Physical Manufacturing Systems (CPMS). Collaborative manufacturing among organizations with geographically distributed operations using Nanomanufacturing (NM) requires integrated networking for enhanced productivity. The present research provides a unique cyber nanomanufacturing framework by combining digital design with various artificial neural networks (ANN) approaches to predict the optimal nano/micro-manufacturing process. It enables the visualization tool for real-time allocation of nano/micro-manufacturing resources to simulate machine availability for five types of NM processes in real-time for a dynamic machine identification system. This research establishes a foundation for a smart agent system with predictive capabilities for cyber nanomanufacturing in real-time.

【 授权许可】

Unknown