2016
DOI: 10.1016/j.aei.2016.08.002
|View full text |Cite
|
Sign up to set email alerts
|

Evaluation of a design property network-based change propagation routing approach for mechanical product development

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
23
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
5
2
1
1

Relationship

0
9

Authors

Journals

citations
Cited by 31 publications
(23 citation statements)
references
References 27 publications
0
23
0
Order By: Relevance
“…The physical schematic diagram of the change routes are shown in Figure 7. According to equation (8) and equation ( 10), the grey interval relational degree of each scheme with ideal optimal scheme and critical scheme is obtained as follows:…”
Section: Case Studymentioning
confidence: 99%
“…The physical schematic diagram of the change routes are shown in Figure 7. According to equation (8) and equation ( 10), the grey interval relational degree of each scheme with ideal optimal scheme and critical scheme is obtained as follows:…”
Section: Case Studymentioning
confidence: 99%
“…Cheng and Chu (2012) defined three changeability indices to quantitatively assess the impacts of design changes on an entire complex product. A mathematical programming model considering design margins was presented by Ma et al (2016) to route change propagation based on a design change analysis network model. Yu et al (2017) proposed a directed weighted complex product network model to analyze requirement change impacts.…”
Section: Introductionmentioning
confidence: 99%
“…Li et al (2012) developed the process model and simulation algorithms for change propagations in the motor cycle engine design process. Ma et al (2016) proposed design change analysis model (DCAM) that enables quantifying the change propagation impact and applied it for mechanical product development. Shankar et al (2012) analysed change records of original equipment manufacturers and concluded that 32.4% of the total changes were due to propagated changes.…”
Section: Literature Reviewmentioning
confidence: 99%