DocumentCode :
1825056
Title :
Human-computer collaborative approach to subassembly planning of complex product
Author :
Wang, X.Y. ; Wang, H.F.
Author_Institution :
Sch. of Mech. Eng., Anhui Univ. of Technol., Ma´´anshan, China
fYear :
2010
fDate :
7-10 Dec. 2010
Firstpage :
1214
Lastpage :
1218
Abstract :
It is necessary to divide recursively big assembly into smaller subassemblies during assembly planning for complex product. There are some disadvantages in current dividing methods using automatic subassembly detection, such as low efficiency and poor producibility. After analyzing relationship between hierarchical structure tree and multi-level subassemblies, a new strategy of dividing subassembly based on reorganizing structure tree is firstly proposed in this paper. To improve the efficiency and practicability of subassembly planning, human-computer collaborative planning approach is further presented, which takes into account different characteristics of internal and external constraints existing in manufacturable subassembly. Validity verifying algorithms of reorganizing structure tree and performance evaluating methods for subassembly planning scheme are also given. To show the effectiveness of the above methods, case study is finally given for subassembly planning using human-computer collaborative approach.
Keywords :
assembly planning; groupware; human computer interaction; automatic subassembly detection; complex product; hierarchical structure tree; human-computer collaborative planning; manufacturable subassembly; multilevel subassembly; subassembly planning; Assembly; Assembly systems; Collaboration; Planning; Solid modeling; Assembly planning; dividing subassembly; reorganizing structure tree; virtual assembly;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on
Conference_Location :
Macao
ISSN :
2157-3611
Print_ISBN :
978-1-4244-8501-7
Electronic_ISBN :
2157-3611
Type :
conf
DOI :
10.1109/IEEM.2010.5674358
Filename :
5674358
Link To Document :
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