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Operations Research, Systems Engineering and Industrial Engineering Commons

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Series

2011

Knowledge management

Articles 1 - 2 of 2

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Support Of Product Innovation With A Modular Framework For Knowledge Management: A Case Study, Douglas C. Eddy, Sundar Krishnamurty, Ian R. Grosse, Jack C. Wileden Jan 2011

Support Of Product Innovation With A Modular Framework For Knowledge Management: A Case Study, Douglas C. Eddy, Sundar Krishnamurty, Ian R. Grosse, Jack C. Wileden

Center for e-Design Proceedings

This paper presents an e-Design framework for knowledge management through its application in an engineering design case study. The e-Design framework enables the implementation of integrated design information throughout the entire design process. It facilitates the ease of sharing real time information across multiple individual designers, departments, or organizations as would be required in large scale design efforts. Similarly, it allows for the ease of use of technical tools integral to the design process that small design departments depend upon. Thus, regardless of the scale, the efficiency of engineering design can be improved with the use of the e-Design framework ...


Towards Industrial Implementation Of Emerging Semantic Technologies, Jay T. Brindel, Ian R. Grosse, Sundar Krishnamurty, John Altidor, Seth Trachtenberg, Paul Witherell Jan 2011

Towards Industrial Implementation Of Emerging Semantic Technologies, Jay T. Brindel, Ian R. Grosse, Sundar Krishnamurty, John Altidor, Seth Trachtenberg, Paul Witherell

Center for e-Design Proceedings

Every new design, project, or procedure within a company generates a considerable amount of new information and important knowledge. Furthermore, a tremendous amount of legacy knowledge already exists in companies in electronic and non-electronic formats, and techniques are needed for representing, structuring and reusing this knowledge. Many researchers have spent considerable time and effort developing semantic knowledge management systems, which in theory are presumed to address these problems. Despite significant research investments, little has been done to implement these systems within an industrial setting. In this paper we identify five main requirements to the development of an industry-ready application of ...