Smart Monitoring of Manufacturing Systems for Automated Decision-Making: A Multi-Method Framework

Author:

Cheng Chen-Yang,Pourhejazy PouryaORCID,Hung Chia-Yu,Yuangyai Chumpol

Abstract

Smart monitoring plays a principal role in the intelligent automation of manufacturing systems. Advanced data collection technologies, like sensors, have been widely used to facilitate real-time data collection. Computationally efficient analysis of the operating systems, however, remains relatively underdeveloped and requires more attention. Inspired by the capabilities of signal analysis and information visualization, this study proposes a multi-method framework for the smart monitoring of manufacturing systems and intelligent decision-making. The proposed framework uses the machine signals collected by noninvasive sensors for processing. For this purpose, the signals are filtered and classified to facilitate the realization of the operational status and performance measures to advise the appropriate course of managerial actions considering the detected anomalies. Numerical experiments based on real data are used to show the practicability of the developed monitoring framework. Results are supportive of the accuracy of the method. Applications of the developed approach are worthwhile research topics to research in other manufacturing environments.

Funder

National Taipei University of Technology

King Mongkut's Institute of Technology Ladkrabang

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

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5. Production Management and Supply Chain Integration;The Palgrave Handbook of Supply Chain Management;2022

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