2015
DOI: 10.1016/j.compind.2014.08.001
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A meta-model for knowledge configuration management to support collaborative engineering

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Cited by 48 publications
(33 citation statements)
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“…Following a knowledge-based approach, during the design process, the engineers have to connect to the knowledge repository in order to extract and reuse useful knowledge. Knowledge-based design is a process to reuse capitalized knowledge from past experience in new projects [ 26 ]. It is also conducted through knowledge sharing between involved stakeholders to ensure common representation of the problem and consistency of the final solution [ 27 ].…”
Section: Need Of Sensor Ontologymentioning
confidence: 99%
“…Following a knowledge-based approach, during the design process, the engineers have to connect to the knowledge repository in order to extract and reuse useful knowledge. Knowledge-based design is a process to reuse capitalized knowledge from past experience in new projects [ 26 ]. It is also conducted through knowledge sharing between involved stakeholders to ensure common representation of the problem and consistency of the final solution [ 27 ].…”
Section: Need Of Sensor Ontologymentioning
confidence: 99%
“…This paper focuses on the last axis in order to present a methodology to design a support system to enhance knowledge sharing. The research field of knowledge-based engineering (KBE) proposes many approaches that allow one to capture and re-use knowledge [2][3][4][5][6][7]. These approaches currently focus on repetitive design tasks where knowledge is considered as a resource.…”
Section: Introductionmentioning
confidence: 99%
“…The synergy of CCCC supports the increasingly demanding performance specifications of these applications and helps to face special situations like unexpected condition adaptations, human interaction challenges, and goal conflicts. Practical industrial applications of the synergy of CCCC are cyber-physical systems [1][2][3][4][5], networked control systems [6][7][8][9][10], mechatronics systems [11][12][13][14][15], online quality control of production items [16][17][18][19][20], supervision and failure analysis of dynamically changing machine states [21][22][23][24], decision support systems [25][26][27][28][29], prediction and control in dynamic production processes [30][31][32], welding processes [33,34], user profiling [35,36], process monitoring [37][38][39], web based control of information management flows [40,41], and resilient control architectures [42][43][44]…”
mentioning
confidence: 99%