Toward Knowledge Management for Smart ManufacturingSource: Journal of Computing and Information Science in Engineering:;2017:;volume( 017 ):;issue: 003::page 31016DOI: 10.1115/1.4037178Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The need for capturing knowledge in the digital form in design, process planning, production, and inspection has increasingly become an issue in manufacturing industries as the variety and complexity of product lifecycle applications increase. Both knowledge and data need to be well managed for quality assurance, lifecycle impact assessment, and design improvement. Some technical barriers exist today that inhibit industry from fully utilizing design, planning, processing, and inspection knowledge. The primary barrier is a lack of a well-accepted mechanism that enables users to integrate data and knowledge. This paper prescribes knowledge management to address a lack of mechanisms for integrating, sharing, and updating domain-specific knowledge in smart manufacturing (SM). Aspects of the knowledge constructs include conceptual design, detailed design, process planning, material property, production, and inspection. The main contribution of this paper is to provide a methodology on what knowledge manufacturing organizations access, update, and archive in the context of SM. The case study in this paper provides some example knowledge objects to enable SM.
|
Show full item record
| contributor author | Feng, Shaw C. | |
| contributor author | Bernstein, William Z. | |
| contributor author | Hedberg, , Jr., Thomas | |
| contributor author | Barnard Feeney, Allison | |
| date accessioned | 2017-11-25T07:20:33Z | |
| date available | 2017-11-25T07:20:33Z | |
| date copyright | 2017/24/7 | |
| date issued | 2017 | |
| identifier issn | 1530-9827 | |
| identifier other | jcise_017_03_031016.pdf | |
| identifier uri | http://138.201.223.254:8080/yetl1/handle/yetl/4236533 | |
| description abstract | The need for capturing knowledge in the digital form in design, process planning, production, and inspection has increasingly become an issue in manufacturing industries as the variety and complexity of product lifecycle applications increase. Both knowledge and data need to be well managed for quality assurance, lifecycle impact assessment, and design improvement. Some technical barriers exist today that inhibit industry from fully utilizing design, planning, processing, and inspection knowledge. The primary barrier is a lack of a well-accepted mechanism that enables users to integrate data and knowledge. This paper prescribes knowledge management to address a lack of mechanisms for integrating, sharing, and updating domain-specific knowledge in smart manufacturing (SM). Aspects of the knowledge constructs include conceptual design, detailed design, process planning, material property, production, and inspection. The main contribution of this paper is to provide a methodology on what knowledge manufacturing organizations access, update, and archive in the context of SM. The case study in this paper provides some example knowledge objects to enable SM. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Toward Knowledge Management for Smart Manufacturing | |
| type | Journal Paper | |
| journal volume | 17 | |
| journal issue | 3 | |
| journal title | Journal of Computing and Information Science in Engineering | |
| identifier doi | 10.1115/1.4037178 | |
| journal fristpage | 31016 | |
| journal lastpage | 031016-9 | |
| tree | Journal of Computing and Information Science in Engineering:;2017:;volume( 017 ):;issue: 003 | |
| contenttype | Fulltext |