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Modelling and Analysis of Multi-agent Approach for an IoT-Enabled Autonomous Manufacturing System.

Publication Type : Book Chapter

Publisher : Springer Singapore

Source : In Advances in Computational Methods in Manufacturing (pp. 643–653). Springer Singapore

Url : https://link.springer.com/chapter/10.1007/978-981-32-9072-3_54

Campus : Chennai

School : School of Engineering

Department : Mechanical Engineering

Year : 2019

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.

Cite this Research Publication : Badri Narayanan, K. B., & Sreekumar, M. (2019). Modelling and Analysis of Multi-agent Approach for an IoT-Enabled Autonomous Manufacturing System. In Advances in Computational Methods in Manufacturing (pp. 643–653). Springer Singapore. https://doi.org/10.1007/978-981-32-9072-3_54

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