Enterprise Knowledge Management
Enterprise Knowledge Management - Related Videos
01:30
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01:34
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06:08
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01:33
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All animal procedures described here must be conducted in accordance with institutional animal ethics guidelines and approved by IACUC. All procedures must follow the principles of the 3Rs—Replacement, Reduction, and Refinement—and must be performed by trained personnel. Breeding management supports the 3Rs by minimizing unnecessary animal production and ensuring that only the number of animals required for a study is generated. Effective breeding strategies help reduce surplus animals and...
11:05
Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
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Cited by 10 •
2016
The following paper presents a novel FE simulation technique (KBC-FE), which reduces computational cost by performing simulations on a cloud computing environment, through the application of individual modules. Moreover, it establishes a seamless collaborative network between world leading scientists, enabling the integration of cutting edge knowledge modules into FE simulations.
FAQs
The system works by linking three functions: people, processes, and technology. People contribute expertise; processes determine how project information is captured and maintained; and technologies make it findable through repositories, taxonomies, search tools, and collaboration workflows. This connection turns knowledge that might remain with one engineer or team into material that others can use for decisions and performance.
Taxonomies and search tools solve different parts of the access problem. A taxonomy gives engineering information a consistent organizational structure, while search helps users locate relevant content within that structure. Used with repositories, these tools make design records, standards, test results, and other project knowledge easier to retrieve across teams, reducing repeated searches and duplicated work.
Continuity improves when expertise is captured before it remains confined to an individual or project team. Enterprise Knowledge Management provides a shared way to preserve lessons learned, technical records, and maintenance information as personnel or assignments change. That continuity helps later engineers make informed decisions without rebuilding knowledge that the organization has already developed.
A practical engineering workflow begins by recording information as work is created, then capturing it in a shared repository, organizing it with an appropriate taxonomy, and making it searchable. Collaboration workflows help teams contribute and use the material, while later projects draw on design records, standards, test results, lessons learned, and maintenance data. This sequence connects knowledge across projects rather than leaving it isolated.
Engineering teams can connect design records with standards, test results, lessons learned, and maintenance data. Bringing these categories together gives project and maintenance work a broader information base, allowing relevant experience and prior results to inform subsequent decisions. The cross-project view is especially useful when different teams need access to information produced elsewhere in the organization.
The approach is useful wherever engineers must support quality, regulatory requirements, maintenance, problem solving, or innovation. Accessible institutional knowledge can reduce duplicated effort and help teams locate prior information instead of recreating it. In practice, its value appears both in routine continuity, such as preserving maintenance data, and in improvement work that uses lessons learned to guide future projects.