From Tacit to Explicit: Using Live Documentation and Feedback Loops to Facilitate Knowledge Transfer
محفوظ في:
| الحاوية / القاعدة: | European Conference on Knowledge Management vol. 1 (Sep 2025), p. 965-973 |
|---|---|
| المؤلف الرئيسي: | |
| مؤلفون آخرون: | , |
| منشور في: |
Academic Conferences International Limited
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | Citation/Abstract Full Text Full Text - PDF |
| الوسوم: |
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3270512472 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2048-8963 | ||
| 022 | |a 2048-8971 | ||
| 035 | |a 3270512472 | ||
| 045 | 2 | |b d20250901 |b d20250930 | |
| 084 | |a 183536 |2 nlm | ||
| 100 | 1 | |a Stürzebecher, Pia | |
| 245 | 1 | |a From Tacit to Explicit: Using Live Documentation and Feedback Loops to Facilitate Knowledge Transfer | |
| 260 | |b Academic Conferences International Limited |c Sep 2025 | ||
| 513 | |a Conference Proceedings | ||
| 520 | 3 | |a The preservation and structured use of tacit knowledge (TK) is a critical challenge in industrial environments contending with increasing automation and a skilled labor shortage. The loss of undocumented expertise, especially in circular economy applications such as disassembly processes, threatens process efficiency, adaptability and quality. This paper presents a knowledge management approach that combines industrial engineering methods with Industry 4.0 technologies to capture and integrate TK into semiautomated disassembly systems digitally. Taking Fraunhofer IFF's iDeaR project as a case study, a demonstrator is developed to document and convert experts' actions during PC disassembly into machine-readable formats. The approach integrates live documentation, feedback loops and digital twins to systematically capture contextual problem-solving strategies, enabling their reuse and continuous learning in technical systems. Tacit knowledge is structured using a dedicated Asset Administration Shell (AAS) submodel, comprising situational context, problem description, solution, guidance and benefit. This facilitates contextual reuse across diverse scenarios. The demonstrator architecture links captured knowledge with product, process and resource twins and provides contextsensitive support through modular software applications. Expert-reviewed feedback loops transform raw data into validated disassembly instructions, checklists and training content. A user-friendly interface facilitates intuitive data entry and practical applicability in industrial settings. Results from a workshop-based analysis of disassembly steps confirm that both implicit and explicit knowledge can be meaningfully structured and evaluated for automation capability. The approach preserves expertise, enhances organizational learning and contributes to more adaptive, error-resistant processes. Future developments include AI-assisted storytelling and enhanced sensor integration to further improve feedback quality and reduce editing. This paper thus contributes to the design of intelligent knowledge systems for (semi)automated environments and highlights the value of digital knowledge models in industrial transformation. | |
| 653 | |a Problem solving | ||
| 653 | |a Software | ||
| 653 | |a Documentation | ||
| 653 | |a Tacit knowledge | ||
| 653 | |a Feedback loops | ||
| 653 | |a Industry 4.0 | ||
| 653 | |a Knowledge management | ||
| 653 | |a Explicit knowledge | ||
| 653 | |a Organizational learning | ||
| 653 | |a Automation | ||
| 653 | |a Circular economy | ||
| 653 | |a Feedback | ||
| 653 | |a Efficiency | ||
| 653 | |a Industrial engineering | ||
| 653 | |a Dismantling | ||
| 653 | |a Learning | ||
| 653 | |a Digital twins | ||
| 653 | |a Employees | ||
| 653 | |a Sensors | ||
| 653 | |a Decision making | ||
| 653 | |a Labor shortages | ||
| 653 | |a Industrial applications | ||
| 653 | |a Knowledge sharing | ||
| 700 | 1 | |a Bayrhammer, Eric | |
| 700 | 1 | |a Brauckmann, Nils | |
| 773 | 0 | |t European Conference on Knowledge Management |g vol. 1 (Sep 2025), p. 965-973 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3270512472/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3270512472/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3270512472/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |