Journal
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
Volume 110, Issue 5-6, Pages 1385-1397Publisher
SPRINGER LONDON LTD
DOI: 10.1007/s00170-020-05977-5
Keywords
Production management; Digital twin; Smart workshop; Heavy-duty vehicle gearbox
Funding
- Funds for Science and technology plan project in Guangzhou [202002030321]
- Science and Technology Plan Project in Inner Mongolia autonomous region [2019GG238]
- Guangdong Academic Degree and Graduate Education Reform Research Project [2019JGXM15]
- Basic and Applied Basic Research Foundation of Guangdong Province of China [2019A1515110399]
- Fundamental Research Funds for the Central Universities [21618412]
- 2018 Panyun Leading Innovation Team Program, China [2018-R01-4]
- 2018 Guangzhou Leading Innovation Team Program, China [201909010006]
- major research and development projects on major topics of artificial intelligence technology innovation in Chongqing [cstc 2017rgzn-zdyfx0005]
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With the rapid development of smart manufacturing, some challenges are emerging in the production management, including the utilization of information technology and the elimination of dynamic disturbance. A digital twin-driven production management system (DTPMS) can dynamically simulate and optimize production processes in manufacturing and achieve real-time synchronization, high fidelity, and real-virtual fusion in cyber-physical production. This paper focuses on establishing DTPMS for production life-cycle management. First, we illustrate how to integrate digital twin technology and simulation platforms. Second, a framework of DTPMS is proposed to support a cyber-physical system of production workshop, including product design, product manufacturing, and intelligent service management. Finally, the proposed DTPMS is applied to the production process of a heavy-duty vehicle gearbox. The experimental results indicate that the defective rate of products and the in-process inventory are reduced by 34% and 89%, respectively, while the one-time pass rate of product inspection is increased by 14.2%, which demonstrates the feasibility and effectiveness of the DTPMS.
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