2015
DOI: 10.1108/aa-02-2015-008
|View full text |Cite
|
Sign up to set email alerts
|

The generation of adaptive assembly from predicting change propagation

Abstract: Users who downloaded this article also downloaded: (2015),"A subassembly identification method for truss structures manufacturing based on community detection", Assembly Automation, Vol. 35 Iss 3 pp. 249-258 http://dx.If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2016
2016
2021
2021

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(2 citation statements)
references
References 20 publications
0
2
0
Order By: Relevance
“…e rows and columns are both the module columns in the DDM correlation matrix. Here, irrelevant modules are added to the last row and last column of the DSM simultaneously [37]. e relationship between functional/design modules was divided into strong correlation and weak correlation.…”
Section: Dsm Prototype Mapping and Module Decouplingmentioning
confidence: 99%
“…e rows and columns are both the module columns in the DDM correlation matrix. Here, irrelevant modules are added to the last row and last column of the DSM simultaneously [37]. e relationship between functional/design modules was divided into strong correlation and weak correlation.…”
Section: Dsm Prototype Mapping and Module Decouplingmentioning
confidence: 99%
“…Liu et al (2015) proposed a variant design method based on products genes and physical description. Qiao et al (2015) presented a method of generating adaptive assembly from predicting change propagation. In addition, Xu et al (2012) presented an approach of numerical control (NC) programming for mass customization product.…”
Section: Introductionmentioning
confidence: 99%