IEEE Access· 2018Q1· Review
Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison
- 1,632citations
- Q1SCImago
- 2018year
Short summary
This paper reviews and compares big data and digital twin technologies, highlighting their complementary roles in advancing smart manufacturing and Industry 4.0.
AI-generated from the title and abstract; the full text is not read.
Key points
- Big data provides intelligence through integrated analysis across all manufacturing aspects.
- Digital twin enables cyber-physical integration, a critical step for smart manufacturing.
- Both technologies are reviewed for applications in product design, planning, manufacturing, and maintenance.
- The paper compares big data and digital twin from general and data perspectives.
AI-generated from the title and abstract; the full text is not read.
Abstract
With the advances in new-generation information technologies, especially big data and digital twin, smart manufacturing is becoming the focus of global manufacturing transformation and upgrading. Intelligence comes from data. Integrated analysis for the manufacturing big data is beneficial to all aspects of manufacturing. Besides, the digital twin paves a way for the cyber-physical integration of manufacturing, which is an important bottleneck to achieve smart manufacturing. In this paper, the big data and digital twin in manufacturing are reviewed, including their concept as well as their applications in product design, production planning, manufacturing, and predictive maintenance. On this basis, the similarities and differences between big data and digital twin are compared from the general and data perspectives. Since the big data and digital twin can be complementary, how they can be integrated to promote smart manufacturing are discussed.
The authors' abstract, as published at the source. IEEE Access, 2018 · DOI ↗
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Field: Industrial and Manufacturing Engineering
Industrial and Manufacturing EngineeringEngineering