| contributor author | Owensby, Joseph E. | |
| contributor author | Summers, Joshua D. | |
| date accessioned | 2017-05-09T01:06:02Z | |
| date available | 2017-05-09T01:06:02Z | |
| date issued | 2014 | |
| identifier issn | 1530-9827 | |
| identifier other | jcise_014_01_011004.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/154213 | |
| description abstract | This paper presents an automated tool for estimating assembly times of products based on a three step process: connectivity graph generation from assembly mate information, structural complexity metric analysis of the graph, and application of the complexity metric vector to predictive artificial neural network models. The tool has been evaluated against different training set cases, suggesting that partially defined assembly models and training product variety are critical characteristics. Moreover, the tool is shown to be robust and insensitive to different modeling engineers. The tool has been implemented in a commercial CAD system and shown to yield results of within آ±25% of predicted values. Additional extensions and experiments are recommended to improve the tool. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Assembly Time Estimation: Assembly Mate Based Structural Complexity Metric Predictive Modeling | |
| type | Journal Paper | |
| journal volume | 14 | |
| journal issue | 1 | |
| journal title | Journal of Computing and Information Science in Engineering | |
| identifier doi | 10.1115/1.4025808 | |
| journal fristpage | 11004 | |
| journal lastpage | 11004 | |
| identifier eissn | 1530-9827 | |
| tree | Journal of Computing and Information Science in Engineering:;2014:;volume( 014 ):;issue: 001 | |
| contenttype | Fulltext | |
