Javascript must be enabled to continue!
Research Progress on Smart Manufacturing and Quality Assurance of New Energy Vehicle Components
View through CrossRef
Against the backdrop of global climate change and the promotion of green energy transformation, the new energy vehicle (NEV) industry has experienced rapid development. The core of new energy vehicles lies in the innovation and manufacturing of their key components, which not only demands high efficiency in the production process but also emphasizes high standards for product quality. Smart manufacturing, as an innovative force in the manufacturing industry, provides optimization solutions for the production of new energy vehicle components by integrating advanced technologies such as automation, the Internet of Things (IoT), big data analysis, and artificial intelligence (AI).
This paper delves into the application of smart manufacturing in the manufacturing of new energy vehicle components and studies the methods of integrating it with quality control systems to enhance production efficiency and product quality. The paper first outlines the key technologies of smart manufacturing, including automated production lines, additive manufacturing, IoT and sensor technology, as well as the application of big data analysis and AI. Subsequently, the paper discusses the theoretical foundations of quality control, including Six Sigma, Total Quality Management (TQM), and commonly used quality control tools. Based on this, the paper proposes a framework for the integration of smart manufacturing and quality control, emphasizing the seamless integration of information flow and material flow, as well as the interface design between smart manufacturing systems and quality control systems. Through case studies, the paper demonstrates the application of this integrated framework in the manufacturing of battery systems, motors, and electric control systems, revealing its significant effects on improving production efficiency, reducing costs, shortening product time to market, and ensuring product quality.
The paper also discusses the technical, management, and regulatory challenges encountered in the implementation of smart manufacturing and quality control integration and proposes corresponding strategies. Finally, the paper summarizes the main findings of the research and suggests future research directions for the integration of smart manufacturing and quality control in new energy vehicle components.
Paradigm Academic Press Limited
Title: Research Progress on Smart Manufacturing and Quality Assurance of New Energy Vehicle Components
Description:
Against the backdrop of global climate change and the promotion of green energy transformation, the new energy vehicle (NEV) industry has experienced rapid development.
The core of new energy vehicles lies in the innovation and manufacturing of their key components, which not only demands high efficiency in the production process but also emphasizes high standards for product quality.
Smart manufacturing, as an innovative force in the manufacturing industry, provides optimization solutions for the production of new energy vehicle components by integrating advanced technologies such as automation, the Internet of Things (IoT), big data analysis, and artificial intelligence (AI).
This paper delves into the application of smart manufacturing in the manufacturing of new energy vehicle components and studies the methods of integrating it with quality control systems to enhance production efficiency and product quality.
The paper first outlines the key technologies of smart manufacturing, including automated production lines, additive manufacturing, IoT and sensor technology, as well as the application of big data analysis and AI.
Subsequently, the paper discusses the theoretical foundations of quality control, including Six Sigma, Total Quality Management (TQM), and commonly used quality control tools.
Based on this, the paper proposes a framework for the integration of smart manufacturing and quality control, emphasizing the seamless integration of information flow and material flow, as well as the interface design between smart manufacturing systems and quality control systems.
Through case studies, the paper demonstrates the application of this integrated framework in the manufacturing of battery systems, motors, and electric control systems, revealing its significant effects on improving production efficiency, reducing costs, shortening product time to market, and ensuring product quality.
The paper also discusses the technical, management, and regulatory challenges encountered in the implementation of smart manufacturing and quality control integration and proposes corresponding strategies.
Finally, the paper summarizes the main findings of the research and suggests future research directions for the integration of smart manufacturing and quality control in new energy vehicle components.
Related Results
URGENSI SISTEM PENJAMINAN MUTU INTERNAL & EKSTERNAL DALAM MENINGKATKAN MUTU PERGURUAN TINGGI
URGENSI SISTEM PENJAMINAN MUTU INTERNAL & EKSTERNAL DALAM MENINGKATKAN MUTU PERGURUAN TINGGI
Higher education quality assurance is aimed at quality education. Universities must systematically carry out the quality assurance process through the Higher Education Quality Assu...
Smart Manufacturing Application in Precision Manufacturing
Smart Manufacturing Application in Precision Manufacturing
Industry 4.0 presents an opportunity to gain a competitive advantage through productivity, flexibility, and speed. It also empowers the manufacturing sector to drive the sustainabi...
The Effect of ESG Assurance on Audit Quality: An Empirical Analysis
The Effect of ESG Assurance on Audit Quality: An Empirical Analysis
Abstract
Against the backdrop of continuous advancement of the "dual carbon" goals and strengthening requirements for sustainable information disclosure in capital ...
Quality improvement within the parachute manufacturing industry : a case study of Parachute Industries of Southern Africa (PISA)
Quality improvement within the parachute manufacturing industry : a case study of Parachute Industries of Southern Africa (PISA)
Total quality management (TQM) has brought about global attention and is being implemented in various sectors ranging from manufacturing and customer service (airports, restaurants...
Quality Control and Quality Assurance in Pharmaceutical Industry
Quality Control and Quality Assurance in Pharmaceutical Industry
Quality assurance can be defined as “the part of quality management aimed at ensuring confidence that quality must be performed”. The trust provided by quality assurance is dual in...
Introducing Optimal Energy Hub Approach in Smart Green Ports based on Machine Learning Methodology
Introducing Optimal Energy Hub Approach in Smart Green Ports based on Machine Learning Methodology
Abstract
The integration of renewable energy systems in port facilities is essential for achieving sustainable and environmentally friendly operations. This paper presents ...
La convention de courtage en matière d'assurance
La convention de courtage en matière d'assurance
La convention de courtage d’assurance constitue un accord d’intermédiation d’assurance conclu entre un courtier d’assurance et un preneur d’assurance en vue de la conclusion ou la ...
Modeling and simulation on interaction between pedestrians and a vehicle in a channel
Modeling and simulation on interaction between pedestrians and a vehicle in a channel
The mixed traffic flow composed of pedestrians and vehicles shows distinct features that a single kind of traffic flow does not have. In this paper, the motion of a vehicle is desc...

