Abstract

The growth of data production in the manufacturing industry causes the monitoring system to become an essential concept for decision-making and management. The recent powerful technologies, such as the Internet of Things (IoT), which is sensor-based, can process suitable ways to monitor the manufacturing process. The proposed system in this research is the integration of IoT, Machine Learning (ML), and for monitoring the manufacturing system. The environmental data are collected from IoT sensors, including temperature, humidity, gyroscope, and accelerometer. The data types generated from sensors are unstructured, massive, and real-time. Various big data techniques are applied to further process of the data. The hybrid prediction model used in this system uses the Random Forest classification technique to remove the sensor data outliers and donate fault detection through the manufacturing system. The proposed system was evaluated for automotive manufacturing in South Korea. The technique applied in this system is used to secure and improve the data trust to avoid real data changes with fake data and system transactions. The results section provides the effectiveness of the proposed system compared to other approaches. Moreover, the hybrid prediction model provides an acceptable fault prediction than other inputs. The expected process from the proposed method is to enhance decision-making and reduce the faults through the manufacturing process.

Highlights

  • Using the integration method to improve the performance of smart manufacturing for better and higher security and standard environment

  • The hybrid prediction model applied in this system is used to predict the real-time system fault records

  • This research focused on a real-time monitoring system based on the integration of

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Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. The manufacturing system is one of the important parts of development in the economic sector for any country worldwide [1,2,3,4]. The growth of technology causes the manufacturing industry to be competitive and sustainable throughout the industrial sector. Information and communication technology (ICT) make a huge change in the manufacturing system from traditional to advanced operations [5]. The monitoring system is a known and important part of manufacturing for controlling and managing the process. Humidity (Relative humidity) Accelerometer 1 Gyroscope 1.

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