Abstract

The modern industry, production, and manufacturing core is developing based on smart manufacturing (SM) systems and digitalization. Smart manufacturing’s practical and meaningful design follows data, information, and operational technology through the blockchain, edge computing, and machine learning to develop and facilitate the smart manufacturing system. This process’s proposed smart manufacturing system considers the integration of blockchain, edge computing, and machine learning approaches. Edge computing makes the computational workload balanced and similarly provides a timely response for the devices. Blockchain technology utilizes the data transmission and the manufacturing system’s transactions, and the machine learning approach provides advanced data analysis for a huge manufacturing dataset. Regarding smart manufacturing systems’ computational environments, the model solves the problems using a swarm intelligence-based approach. The experimental results present the edge computing mechanism and similarly improve the processing time of a large number of tasks in the manufacturing system.

Highlights

  • The progress of industrialization has been changed and transformed from automation to digitalization

  • Lei et al [4] presented the architecture of adaptive transmission containing edge computing and software-defined network (SDN) to solve the problem of data exchanging in Industrial Internet of Things (IIoT) and intelligent devices

  • Smart manufacturing based on the edge computing system has high scalability and huge IIoT devices, which is suitable based on the expansion potentiality

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Summary

Introduction

The progress of industrialization has been changed and transformed from automation to digitalization. The connection of entities is based on two main features. Digitalization and identification are important features for entity connection. From another perspective, the Internet of Things (IoT) is determined for managing the identification problems, which mostly happen in the Industrial Internet of Things (IIoT). Smart manufacturing was named a core of modern production in the manufacturing industry’s digitalization. It is the smart factory’s foundation [1]. The smart manufacturing process uses information technology (IT) to connect the facilities and terminal devices that are digitalized [2]. There are three main topics discussed —edge computing; blockchain; IoT, Industrial Internet of Things (IIoT), Industry 4.0, and cyber-physical systems (CPS)

Edge Computing
Blockchain
Limitations
Prototype System Based on Edge Computing
Implementation Environment
Dataset Management
Optimization
Performance Evaluation
Challenges and Opportunities of the Smart Manufacturing System
Conclusions and Future Research
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