Design-Manufacturing-Operation & Maintenance (O&M) Integration of Complex Product Based on Digital Twin
Source abstract
Abstract
This paper presents a complex product design-manufacturing-operations and maintenance integration method based on digital twin technology. This method aims to solve the problem of information silos in the design, manufacturing and operation and maintenance phases of complex products in the context of intelligent manufacturing and to integrate the design, manufacturing and operation and maintenance processes of complex products. To address the integration needs of complex product design, manufacturing, operation and maintenance business integration, a framework for complex product design-manufacturing-operation and maintenance integration based on the digital twin is first proposed, in addition to designing a model and operation mechanism for combining the virtual and real of the digital twin model. Then, the implementation of multistage collaborative design technology, data intelligent sensing technology, and data integration and fusion technology for the digital twin-based design-manufacturing-operations and maintenance integration processes are analyzed and discussed. Finally, a case study involving the fault prediction of key components of the bogie of an EMU demonstrated the integrated mode of operation in the design-manufacture-operation and maintenance process of the EMU. It verified the effectiveness of the proposed framework, process and methodology.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Digital Transformation in Industry · Technology Assessment and Management · Manufacturing Process and Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
Funding
the National Natural Science Foundation of China · Shaanxi Province Innovation Capability Support Program
References (51)
Show source-provided references
1. Digital twin-based research on the prediction method for the complex product assembly abnormal events10.1080/0951192X.2021.1972464 ↗
2. Tolerance Design and Adjustment of Complex Customized Product Based on Cloud Manufacturing10.1016/j.procir.2015.04.061 ↗
3. A personalised operation and maintenance approach for complex products based on equipment portrait of product-service system10.1016/j.rcim.2022.102485 ↗
4. A framework for optimal design of complex products10.1016/j.procir.2018.02.038 ↗
5. Performance balance oriented product structure optimization involving heterogeneous uncertainties in intelligent manufacturing with an industrial network10.1016/j.ins.2022.03.063 ↗
6. Conceptual Design of Intelligent Manufacturing Equipment Based on a Multi-source Heterogeneous Requirement Mapping Method
7. A review of industrial big data for decision making in intelligent manufacturing
8. Market-Driven Modularity: Design method developed under a Design Science paradigm10.1016/j.ijpe.2022.108412 ↗
9. Which tools are needed to implement Lean Production in an Industry 4.0 environment? A literature review10.1016/j.procs.2022.01.377 ↗
10. The industrial internet of things (IIoT): An analysis framework10.1016/j.compind.2018.04.015 ↗
11. Made in China 2025 and manufacturing strategy decisions with reverse QFD10.1016/j.ijpe.2019.107539 ↗
12. Design and Use of Human Operator Digital Twins in Industrial Cyber-Physical Systems: Ethical Implications
13. Towards a connected Digital Twin Learning Ecosystem in manufacturing: Enablers and challenges10.1016/j.cie.2022.108463 ↗
14. Glaessgen, E., and Stargel, D. (2012, January 23–26). The digital twin paradigm for future NASA and US air force vehicles. Proceedings of the 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 20th AIAA/ASME/AHS Adaptive Structures Conference 14th AIAA, Honolulu, HI, USA.10.2514/6.2012-1818 ↗
15. Corallo, A., Del Vecchio, V., Lezzi, M., and Morciano, P. (2021). Shop Floor Digital Twin in Smart Manufacturing: A Systematic Literature Review. Sustainability, 13.10.3390/su132312987 ↗
16. Digital Twins: Bridging Physical Space and Cyberspace10.1109/MC.2019.2942803 ↗
17. The development of standardized models of digital twin
18. Psarommatis, F., and May, G. (2022). A standardized approach for measuring the performance and flexibility of digital twins. Int. J. Prod. Res., 1–16.
19. Digital Twin Enhanced Dynamic Job-Shop Scheduling10.1016/j.jmsy.2020.04.008 ↗
20. A digital twin framework for product to-be-designed analysis based on operation data10.1016/j.procir.2022.05.233 ↗
21. Digital twins-based flexible operating of open architecture production line for individualized manufacturing10.1016/j.aei.2022.101676 ↗
22. A Digital Twin Design for Maintenance Optimization10.1016/j.procir.2022.05.268 ↗
23. Xiao, W., He, M., Wei, Z., and Wang, N. (2022). SWLC-DT: An Architecture for Ship Whole Life Cycle Digital Twin Based on Vertical–Horizontal Design. Machines, 10.10.3390/machines10110998 ↗
24. Data-assimilated lifecycle simulation for adaptive product lifecycle management10.1016/j.cirp.2017.04.102 ↗
25. An IoT based industry 4.0 architecture for integration of design and manufacturing systems10.1016/j.matpr.2020.11.196 ↗
26. Wang, J., Meng, Z., Gao, D., and Feng, L. (2022). Construction of an Integrated Framework for Complex Product Design Manufacturing and Service Based on Reliability Data. Machines, 10.10.3390/machines10070555 ↗
27. Integration of product design and manufacturing through real-time due-date estimation and scheduling systems10.1299/jamdsm.2016jamdsm0042 ↗
28. Integration of Life Cycle Assessment with computer-aided product development by a feature-based approach10.1016/j.jclepro.2016.12.005 ↗
29. Data analytics-enable production visibility for Cyber-Physical Production Systems10.1016/j.jmsy.2020.09.002 ↗
30. Ren, L., Li, Y., Wang, X., Cui, J., and Zhang, L. (2022). An ABGE-aided manufacturing knowledge graph construction approach for heterogeneous IIoT data integration. Int. J. Prod. Res., 1–15.10.1080/00207543.2022.2042416 ↗
31. A Metadata Repository for Semantic Product Lifecycle Management10.1016/j.procir.2019.11.006 ↗
32. Product Lifecycle Management Using Multi-agent Systems Models10.1016/j.procs.2017.01.034 ↗
33. A novel performance evaluation model for MRO management indicators of high-end equipment10.1080/00207543.2019.1566654 ↗
34. Data-driven production control for complex and dynamic manufacturing systems10.1016/j.cirp.2018.04.033 ↗
35. Digital twin driven production progress prediction for discrete manufacturing workshop10.1016/j.rcim.2022.102456 ↗
36. A review of digital twin in product design and development10.1016/j.aei.2021.101297 ↗
37. Predictive maintenance using digital twins: A systematic literature review10.1016/j.infsof.2022.107008 ↗
38. Toward digital validation for rapid product development based on digital twin: A framework10.1007/s00170-021-08475-4 ↗
39. A digital twin-based multidisciplinary collaborative design approach for complex engineering product development10.1016/j.aei.2022.101635 ↗
40. Digital twin-driven product design framework10.1080/00207543.2018.1443229 ↗
41. Towards a scalable implementation of digital twins—A generic method to acquire shopfloor data10.1016/j.procir.2021.01.069 ↗
42. Digital twin workshop: A new paradigm for future workshop
43. Reinforcement learning and digital twin-based real-time scheduling method in intelligent manufacturing systems
44. Psarommatis, F., and May, G. (2022). A literature review and design methodology for digital twins in the era of zero defect manufacturing. Int. J. Prod. Res., 1–21.
45. Wu, Q., Mao, Y., Chen, J., and Wang, C. (2021). Application research of digital twin-driven ship intelligent manufacturing system: Pipe machining production line. J. Mar. Sci. Eng., 9.10.3390/jmse9030338 ↗
46. Human knowledge centered maintenance decision support in digital twin environment10.1016/j.jmsy.2022.10.003 ↗
47. A digital twins concept model for integrated maintenance: A case study for crane operation10.1007/s10845-020-01689-5 ↗
48. Cognitive digital twin: An approach to improve the maintenance management10.1016/j.cirpj.2022.06.004 ↗
49. Integrated development framework and key technologies of complex product design and manufacturing based on digital twinning
50. Zhang, L., Feng, L., Wang, J., and Lin, K.-Y. (2022). Integration of Design, Manufacturing, and Service Based on Digital Twin to Realize Intelligent Manufacturing. Machines, 10.10.3390/machines10040275 ↗
51. Complex product manufacturing and operation and maintenance integration based on digital twin10.1007/s00170-021-07350-6 ↗