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contributor authorFeng, Shaw C.
contributor authorBernstein, William Z.
contributor authorHedberg, , Jr., Thomas
contributor authorBarnard Feeney, Allison
date accessioned2017-11-25T07:20:33Z
date available2017-11-25T07:20:33Z
date copyright2017/24/7
date issued2017
identifier issn1530-9827
identifier otherjcise_017_03_031016.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4236533
description abstractThe 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.
publisherThe American Society of Mechanical Engineers (ASME)
titleToward Knowledge Management for Smart Manufacturing
typeJournal Paper
journal volume17
journal issue3
journal titleJournal of Computing and Information Science in Engineering
identifier doi10.1115/1.4037178
journal fristpage31016
journal lastpage031016-9
treeJournal of Computing and Information Science in Engineering:;2017:;volume( 017 ):;issue: 003
contenttypeFulltext


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