Elaboration and Exploitation of Lessons Learned

Rakoto, Holitiana; Clermont, Philippe; Geneste, Laurent

doi:10.1007/978-0-387-35602-0_31

Cited by 11 publications

(6 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our work fits into the scheme of the experience feedback framework detailed in [29]. In this framework, a structured description of gradual transformation, by actors, of an event into knowledge is suggested.…”

Section: Proposed Methodological Framework For Maintenance Managementmentioning

confidence: 99%

Graph-based reasoning in collaborative knowledge management for industrial maintenance

Kamsu-Foguem

Noyes

2013

Computers in Industry

View full text Add to dashboard Cite

show abstract

Section: Proposed Methodological Framework For Maintenance Managementmentioning

confidence: 99%

Graph-based reasoning in collaborative knowledge management for industrial maintenance

Kamsu-Foguem

Noyes

2013

Computers in Industry

View full text Add to dashboard Cite

show abstract

“…An expert's assessment is closely associated with tacit knowledge. On the other hand, managing and sharing such valuable empirical knowledge effectively is valuable to enterprises, but most knowledge-based systems cannot effectively transfer empirical knowledge into explicit, organizational knowledge [7,59,61,68,80]. This can cause bottlenecks to sharing empirical knowledge within an enterprise.…”

Section: Group Decision Makingmentioning

confidence: 97%

Using mutually validated memories of experts for case-based knowledge systems

2015

Knowledge-Based Systems

View full text Add to dashboard Cite

“…Amongst the various definitions available in the subject literature, we selected the one proposed by [6]: "The Experience Feedback is a structured approach to capitalization and using information from the analysis of positive and/or negative events. This approach implements a set of human and technological resources which must be managed for the assistance of reducing errors and promoting some rehearsals good practices."…”

Section: Definitionmentioning

confidence: 99%

Experience feedback in product lifecycle management

Clermont

Kamsu-Foguem

2018

Computers in Industry

Self Cite

View full text Add to dashboard Cite

Given the popularity of industrial enterprises for Product Lifecycle Management (PLM) information systems capable of supporting the entire product development process, we see the emergence of new needs and new research directions in the operation of these dynamic complex environments. Reference standards are applicable to the services and industries which bring innovation and technologies to a fastgrowing and demanding market. To obtain perfect control of business risks and performance and to ensure "zero defect", standards specific to the fields of transport, emergency (IRIS IN 9100. . .) and generic standards (ISO 9001. . .) are more restrictive. They involve full transparency and rigor in flawless quality management processes and monitoring products. In this field, knowledge management is paramount; it helps improve overall performance of industrial systems by structuring the information assets acquired by the company stakeholders. In a way, it is the substantive development of our research. We detailed the approach adopted to implement the Experience Feedback (EF) system dedicated to the product in the PLM business. We presented a first action with the objective of formalizing the implicit experiences generated following the response to a triggering event. In this work, we mainly considered negative events for which the information to be collected are clearly identified. We propose an approach combining Problem Solving and EF adapting the level of commitment to the criticality or importance of the problem addressed. To instantiate this approach in PLM, we have chosen to rely on the Change Management Process (CMP) because, firstly, it involves changes in product data and, secondly, it usually concerns driving developments for correction or improvement of the technical specifications related to the production process.

show abstract

Elaboration and Exploitation of Lessons Learned

Cited by 11 publications

References 1 publication

Graph-based reasoning in collaborative knowledge management for industrial maintenance

Graph-based reasoning in collaborative knowledge management for industrial maintenance

Using mutually validated memories of experts for case-based knowledge systems

Experience feedback in product lifecycle management

Contact Info

Product

Resources

About