scholarly journals Knowledge Modeling Framework for System Engineering Projects

2008 ◽  
pp. 183-192
Author(s):  
Olfa Chourabi ◽  
Yann Pollet ◽  
Mohamed Ben Ahmed
Keyword(s):  
System Engineering ◽  
Knowledge Modeling ◽  
Modeling Framework ◽  
Engineering Projects

Research on the Knowledge Character and Classification of Intangible Cultural Heritage

2014 ◽  
Vol 643 ◽  
pp. 153-158 ◽  
Author(s):  
Min Li Dai ◽  
Chuan Ming Sun ◽  
Min Wang
Keyword(s):  
Cultural Heritage ◽  
Intangible Cultural Heritage ◽  
Knowledge Modeling ◽  
Modeling Framework ◽  
Special Character ◽  
Culture Heritage ◽  
Long Time ◽  
Complex Relationships ◽  
Rational Standard

As the knowledge of intangible cultural heritage is the experience which is accumulated for a long time, it is difficult to express the complex relationships completely. In order to preserve the content of intangible cultural heritage effectively, the knowledge should be classified by a rational standard. Firstly, this paper discussed the special character and information processing technology of intangible culture heritage; Secondly, the classification of intangible cultural heritage is designed based on its character and the theory of knowledge classification, and then a knowledge modeling framework for intangible cultural heritage is designed based on this classification. Application has proved that it is feasible and effective, and could help the users to master the knowledge and its relationship from various perspectives.

Application of System Engineering to Project Management

2018 ◽  
Vol 7 (4) ◽  
pp. 76-97 ◽  
Author(s):  
Brian J. Galli
Keyword(s):  
Decision Making ◽  
Project Management ◽  
Complex Systems ◽  
Research And Development ◽  
Success Rate ◽  
Large Scale ◽  
System Engineering ◽  
Development Organizations ◽  
The Relationship ◽  
Engineering Projects

System engineering in complex systems has transitioned into a well detailed, universally accepted, client-oriented methodology. Unfortunately, this approach hasn't been adopted in most commercially mandated research and development organizations. This article acknowledges that to improve the success of projects, it is essential to understand the benefits of managing product requirement with system engineering. In discussion is the application of system engineering in improving the success rate through better requirement handling. It presents the elements of the relationship between system engineering and project management. The findings suggest that the full importance of applying system engineering can only be enjoyed if other pre-requisites on prudent decision-making are applied. Furthermore, the findings suggest guidance on ways of adopting system-engineering (SE) practices when implementing in large-scale engineering projects.

Knowledge Intensive Support for Product Family Design

2002 ◽  
Author(s):  
Xuan F. Zha ◽  
Wen F. Lu
Keyword(s):  
Research Effort ◽  
Product Family ◽  
Product Family Design ◽  
Knowledge Modeling ◽  
Modeling Framework ◽  
Design Scheme ◽  
Requirements Modeling ◽  
Knowledge Support ◽  
Architecture Modeling ◽  
Knowledge Intensive

This paper presents an on-going research effort on platform-based product family design using a knowledge intensive support paradigm. The background research related to product family design is first reviewed. Then, the fundamental issues underlying the product family design are discussed. A module-based integrated product family design scheme is proposed with knowledge support for customer requirements’ modeling, product architecture modeling, product platform establishment, product family generation, and product assessment. The systematic methodology and the relevant technologies are investigated and developed for knowledge modeling and support in the product family design process. An information and knowledge-modeling framework is developed for the module-based product family design scheme. The issues and requirements related to develop knowledge intensive support system for module-based product family design are also addressed. Finally, a case study on knowledge support for power supply family design and evaluation is provided for illustration.

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