Knowledge reuse integrating the collaboration from experts in industrial maintenance management

Ruiz, Paula Andrea Potes; Kamsu-Foguem, Bernard; Noyes, Daniel

doi:10.1016/j.knosys.2013.06.005

Cited by 73 publications

(12 citation statements)

References 55 publications

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“…These solutions are built on the basis of the integration of conceptual models that imply the changing of some practices for maintenance. Knowledge and know-how for knowledge management are essential [46]. Thus, the application of knowledge management technology in maintenance can also provide easy access to collaboration tools to the experts.…”

Section: Discussionmentioning

confidence: 99%

A knowledge-based model for managing the ontology evolution: case study of maintenance in SONATRACH

Sad-Houari

Taghezout

Nador

2018

Journal of Information Science

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The challenges of the development of a suitable ontology scheme in decision-making environment should be taken in conjunction with the exploitation of more recent technologies. It is expected that the use of ontologies will lead to the construction of more intelligent applications, allowing them to work more specifically at a human conceptual level. We propose in this article an approach that analyses the impact of changes in the ontology on business rules in order to detect inconsistencies that may be generated. In addition, the developed tool provides solutions to repair inconsistencies with the help of domain experts. In our work, business rules are edited from the concepts and properties that are stored in an OWL (Web Ontology Language) ontology named OntoloG. This latter is implemented throughout the use of Protégé 4.0.2.with the OWL sub-language. OntoloG has been developed by the knowledge acquisition from documents, collection and capitalisation of business rules process with experts in SONATRACH AVAL.

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Section: Discussionmentioning

confidence: 99%

A knowledge-based model for managing the ontology evolution: case study of maintenance in SONATRACH

Sad-Houari

Taghezout

Nador

2018

Journal of Information Science

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“…Higher education institutes often provide short-duration professional workshops, executive education programs, or degree programs to engage industry professionals more closely with university activities and empower more knowledge and skills for the job (Acworth, 2008). Ruiz, Kamsu-Foguem, and Noyes (2013) argued that in the process of experience sharing, people use indepth analysis to understand the context and risk criteria of problems. The solutions are defined and implemented, and people obtain knowledge or lessons learned from their own set of experiences.…”

Section: On-the-job Trainingmentioning

confidence: 99%

Configuring the Knowledge Diffusion Policy Portfolio of Higher Education Institutes

Chen

Shyu

Huang

2017

EURASIA J MATH SCI T

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The research proposes an analytic framework to configure the policy portfolio for diffusing knowledge embedded in higher-education institutes. A modified Delphi method was first proposed to derive the key factors for enabling and enhancing the diffusion mechanism. The influence relationships between these factors were derived using the Decision-Making Trial and Evaluation Laboratory (DEMATEL). The analytic network process (ANP) derived weights associated with the key factors. Finally, the Grey Relational Analysis (GRA) was used to derive the policy instruments based on the Grey Relationships between the key factors and the policy instruments. An empirical study based on Taiwanese highereducation institutes also/then verified the feasibility of the proposed analytic framework. These findings suggest that research and development activities, publications, and networks of academic exchange play primary roles in knowledge diffusion in highereducation institutions. Motivation, human resources, and investment are the most important policy instruments to use for improving knowledge diffusion in the highereducation system.

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“…The multi-agent system can make optimal decisions through complex interactions between distributed, autonomous agents. Kamsu-Foguem and colleagues 25,26 proposed methods to fuse the knowledge from different sources to support collaborative decision-making in industrial maintenance, including knowledge formalization of domain vocabulary to improve the communication and knowledge sharing with conceptual graphs formalism, multi-expert knowledge management with the transferable belief model to support collaborative decision-making and a variant of the case-based reasoning mechanism with a process of solving new problems based on the solutions of similar past problems. However, these methods cannot be used directly to solve the domain problems in CMfg and new solutions should be developed to satisfy the application requirements.…”

Section: Related Workmentioning

confidence: 99%

Multi-centric management and optimized allocation of manufacturing resource and capability in cloud manufacturing system

Lin¹,

Yang

Zhuang

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part B:

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Cloud manufacturing offers the potential to make mass manufacturing resources and capabilities more widely integrated and accessible to users through network. Most related research assumes that there exists only one management center for all manufacturing resources and capabilities in a manufacturing cloud. However, this could cause the efficiency problem (e.g. scheduling time) and harm the quality of service (e.g. response time). Actually, a large-scale manufacturing cloud should have multiple management centers to deal with massive, widely distributed manufacturing resources and capabilities and users; meanwhile, the constraint of finite manufacturing resources and capabilities and the cost of remote collaboration should be taken into consideration. Thus, this article first presents the architecture for the multi-centric management with two-level scheduling strategy combining the advantages of the centralized and decentralized decision-making. Then, after quantifying the availability and the collaborative cost of the manufacturing resources and capabilities, we propose a global optimization model for the manufacturing resources and capability allocation under the multi-centric architecture. Finally, a case study adopting our new method shows that the utilization of the manufacturing resources and capabilities would be more balanced, while the cost of the total collaboration would be reduced, compared with the typical decentralized solution. The research results can support cloud manufacturing to effectively deal with the challenge of management and allocation for increasingly large-scale and distributed manufacturing resources and capabilities.

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Knowledge reuse integrating the collaboration from experts in industrial maintenance management

Cited by 73 publications

References 55 publications

A knowledge-based model for managing the ontology evolution: case study of maintenance in SONATRACH

A knowledge-based model for managing the ontology evolution: case study of maintenance in SONATRACH

Configuring the Knowledge Diffusion Policy Portfolio of Higher Education Institutes

Multi-centric management and optimized allocation of manufacturing resource and capability in cloud manufacturing system

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