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Function-Oriented Search, TRIZ and the Sustainable Use of Information Resources
Jochen Wessner

Function-Oriented Search, TRIZ and the Sustainable Use of Information Resources

Author / Organization:
Science & Mathematics Published 2023 Verification Pending

Overview & Synopsis

Finding leading areas and industries is currently not supported within Function-Oriented search. The proposed workflow aims at a systematic approach to help finding possible leading areas together with the implementation of existing resources. This increases the sustainability because the amount of used human resources is decreased and the utilisation of present information resources is increased. Thus, the effort within development is improved which increases the efficiency. The application and value of Function-Oriented Search is simplified, and the level of subjectiveness is reduced.The proposed workflow was tested with an example. Therefore, it should be substantiated with additional example problems in different fields of industry. Furthermore, during the work a change of the resources were perceived. This could lead to further research if those changes could be predicted. Expert systems and AI could enhance the process by automated analysis of search results or suggestions where to perform additional searches.

Indexed from repository: HAL Open Science (hal.science)
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Document Information

Document Title Function-Oriented Search, TRIZ and the Sustainable Use of Information Resources
Author / Organization Jochen Wessner
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2023
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-206604
Original Source Link Visit Source Page on hal.science »