Special Issue on Digital Twin towards Smart Manufacturing and Industry 4.0 On the Journal of Manufacturing Systems
• 大类 : 工程技术 - 2区
• 小类 : 工程：工业 - 2区
• 小类 : 工程：制造 - 2区
• 小类 : 运筹学与管理科学 - 2区
With the development and extensive applications of New IT, such as cloud computing, Internet of Things (IoT), big data, mobile internet, and artificial intelligence (AI), many countries have put forward their national strategies for advanced manufacturing, such as the Industry 4.0 in Germany, Industrial Internet and manufacturing system based on CPS (Cyber-Physical Systems) or Cyber Manufacturing in the USA, as well as Internet Plus Manufacturing and smart manufacturing in China. One common aim of these strategies is to achieve smart manufacturing, which demands the interoperation, integration, and fusion of the physical and cyber worlds of manufacturing. The state-of-the-art technologies in New IT, greatly stimulates the smart manufacturing. As an important prerequisite and core to achieve smart manufacturing, the notion of cyber-physical integration is increasingly embraced by manufacturers. However, how to achieve the integration between the cyber and physical worlds of manufacturing has been plaguing practitioner in industry and researchers.
Digital twin, as a promising approach to address these issues, is gaining increasing attention [1-2]. Through high-fidelity model and real-time data from sensors, digital twin can project physical assets or processes into the digital world to reflect the whole lifecycle process of the corresponding counterpart [2-4]. The digital companion of the physical world is synchronized with the physical entity for monitoring, diagnostics, prognostics, simulation and control to greatly improve product R&D, production efficiency and PHM [5-7]. In the future, everything in the physical world would be replicated in the digital space through digital twin techniques. In the industrial sector, digital twin would greatly promote the innovation of products in the design, production, operation and maintenance.
As digital twin is considered as an efficient way to realize the fusion between physical and virtual spaces, both academic researchers and industrial practitioners have applied the digital twin in various fields, including aerospace, electric power, automotive, manufacturing, healthcare and medicine, maritime, etc. . Against this background, this special issue is intended to provide a stage for researchers around the world to present, discuss, and exchange their latest work in digital twin, and envision the development in the future.
The objective of this special issue is to present the latest advances and developments of new methods, techniques, systems, and tools dedicated to the application of digital twin for smart manufacturing and Industry 4.0.
Topics include but are not limited to the following:
Digital twin in product design
Digital twin in smart manufacturing
Digital twin job-shop
Modeling and simulation of digital twin
Smart interconnection and interoperation for digital twin
Digital twin in human-machine collaboration
Digital twin in product lifecycle data management
Digital twin in prognostics and health management (PHM)