Publications

Abstract : Industrial Internet of Things (IIoT) is a digital platform to perform machine-to-machine communication, acquire sensor data, analyse, and deliver comprehensive information and also facilitate the manufacturing system to implement smart decisions faster. This paper presents modelling and analysis of an IoT-enabled autonomous manufacturing system based on the performance metrics. Multi-agent interaction has been defined through a generalised control architecture, considering as an autonomous manufacturing system. The number of jobs entering and leaving the machines computes time-dependent performance metrics such as cycle time and work in process using Little’s law. The mean arrival rate of each machine is calculated by evaluating the amount of work and a utilisation factor. The squared coefficient of inter-arrival rates based on successive substitution of job flow from machine x to machine y has also been obtained. This is preliminary work in the process of designing an IoT-enabled autonomous manufacturing system capable of self-learning and executing accurate decision faster.