| contributor author | AlGeddawy, Tarek | |
| contributor author | ElMaraghy, Hoda | |
| date accessioned | 2017-05-09T01:20:51Z | |
| date available | 2017-05-09T01:20:51Z | |
| date issued | 2015 | |
| identifier issn | 1050-0472 | |
| identifier other | md_137_04_041702.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/158809 | |
| description abstract | Changeable manufacturing systems offer a high level of adaptability and agility in response to product and market changes. They are characterized by modularity and scalability, which are derivatives of system granularity. Determining the best granularity level of a changeable system helps maximize its ability to change throughout its planned utilization horizon. A new model and two case studies are presented to show: (1) new changeability design structure matrix (CDSM) to express all planned system configurations, (2) cladistics analysis to hierarchically cluster CDSM into component modules, and (3) new granularity index (GI) to determine the best system granularity level which balances the merits of manufacturing system modularity with integration. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Determining Granularity of Changeable Manufacturing Systems Using Changeable Design Structure Matrix and Cladistics | |
| type | Journal Paper | |
| journal volume | 137 | |
| journal issue | 4 | |
| journal title | Journal of Mechanical Design | |
| identifier doi | 10.1115/1.4029515 | |
| journal fristpage | 41702 | |
| journal lastpage | 41702 | |
| identifier eissn | 1528-9001 | |
| tree | Journal of Mechanical Design:;2015:;volume( 137 ):;issue: 004 | |
| contenttype | Fulltext | |
