Data-driven demand analysis and design reliability study of critical components of complex products Article Swipe
Zhan Meng
,
Zhenggang Wang
,
Dapeng Gao
,
Wei Lü
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0319475
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0319475
Distinguished from the traditional general framework of product design, under the background of digital intelligence, the complex product design method presents the characteristics of rapid iteration and high degree of integration, and adopts the simulation and modeling technology, advanced production methods, etc. to further improve the quality and reliability of complex product design. Therefore, the demand analysis and design reliability study of critical components of complex products need to consider the sustainability, resources and economy of design, manufacturing and service. In this paper, starting from the product requirement analysis, the Kano-QFD model is used to clarify the requirement identification path of the critical components of complex products and ensure that the quality characteristics of the critical components of complex products are consistent with the customer requirements. The multi-dimensional characteristics of product design parameters, manufacturing process and quality are integrated to construct a design manufacturing analysis (DMA) model, which it’s based design reliability analysis method for critical components of complex products. Finally, the method proposed in this article was validated by taking the demand analysis and design reliability of critical components of automotive engines as an example. The study shows that the method proposed in this paper is highly compatible with the practice of complex product design and manufacturing at the early stage, and the method proposed in this paper also can provide product design and quality management reference for the research and development and manufacturing personnel of complex products to meet the changing needs and challenges of complex products.
Related Topics
Concepts
Quality function deployment
Computer science
Product design
Product engineering
Reliability (semiconductor)
Product (mathematics)
Quality (philosophy)
Reliability engineering
Manufacturing engineering
Systems engineering
New product development
Industrial engineering
Engineering
Business
Quantum mechanics
Power (physics)
Epistemology
Geometry
Mathematics
Philosophy
Physics
Marketing
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0319475
- https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0319475&type=printable
- OA Status
- gold
- Cited By
- 2
- References
- 42
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4408837378
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4408837378Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1371/journal.pone.0319475Digital Object Identifier
- Title
-
Data-driven demand analysis and design reliability study of critical components of complex productsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-03-24Full publication date if available
- Authors
-
Zhan Meng, Zhenggang Wang, Dapeng Gao, Wei LüList of authors in order
- Landing page
-
https://doi.org/10.1371/journal.pone.0319475Publisher landing page
- PDF URL
-
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0319475&type=printableDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0319475&type=printableDirect OA link when available
- Concepts
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Quality function deployment, Computer science, Product design, Product engineering, Reliability (semiconductor), Product (mathematics), Quality (philosophy), Reliability engineering, Manufacturing engineering, Systems engineering, New product development, Industrial engineering, Engineering, Business, Quantum mechanics, Power (physics), Epistemology, Geometry, Mathematics, Philosophy, Physics, MarketingTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2Per-year citation counts (last 5 years)
- References (count)
-
42Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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