학술논문

“Industrie 4.0” and Smart Manufacturing: A State of the Art Review
Document Type
Conference
Source
2023 15th International Conference on Developments in eSystems Engineering (DeSE) Developments in eSystems Engineering (DeSE), 2023 15th International Conference on. :1-6 Jan, 2023
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
General Topics for Engineers
Robotics and Control Systems
Signal Processing and Analysis
Service robots
Decision making
Supply chains
Big Data
Real-time systems
Production facilities
Information and communication technology
Industry 4.0
Smart Manufacturing Model
Internet of Thing
Cyber Physical System
Language
Abstract
Smart Manufacturing is the deployment of big data processing, artificial intelligence, and sophisticated robotics technology, as well as their interconnectedness, to improve manufacturing performance and optimize energy and labor needs. To ensure a new development engine, the industrial sector wants to increase its competitiveness through the convergence of innovative ICT (Information and Communication Technology). Smart Manufacturing represents the Fourth Industrial Revolution and a New Paradigm. It is a set of cutting-edge technologies that facilitate effective and precise engineering decision-making in real time through the introduction of various ICT technologies and their convergence with current manufacturing technologies. This article describes and explores the smart manufacturing system, outlines its present stage of implementation, and discusses its accompanying technologies and their contributions to smart manufacturing technology. Moreover, a survey of the most recent advancements in this field and their effects, as well as the implementation challenges, opportunities, and future directions for smart manufacturing systems, were analyzed and presented in order to realize this rapidly expanding technology and cover all of its dimensions. The purpose of the literature study in this paper is to get a comprehensive understanding of smart manufacturing planning methodologies. Several papers and books produced over the previous five years are evaluated with a focus on the applications and kinds of systems.