A generic knowledge management approach towards the development of a decision support system

ABSTRACT

The fourth industrial revolution is increasingly implemented in most fields and categories of industry. The use of several highly developed technologies generates huge amounts of heterogeneous data and knowledge, hence the need to manage it in order to facilitate its reuse. This article proposes a global approach of knowledge management, from the analysis and development of the knowledge base structuring models, to the implementation phase using knowledge engineering tools. This research work is part of a global knowledge-based decision support framework that ensures several axes of decision support, this article deals with the diagnosis axis. It provides analysis and comprehension of the failures occurring during production. The approach has been implemented as a first demonstrator tested in a real case study: the aeronautical mechanical machining industry. This article details the issues of this implementation and its interest for the validation of the approach.

KEYWORDS:

• Industry 4.0
• modelling
• ontologies
• knowledge management
• decision support system

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by Agence Nationale de la Recherche [grant number ANR-16-CE10-0005].

Notes on contributors

Oussama Meski

Dr Oussama Meski is a PhD student in industrial engineering at the University of Nantes (at LS2N: Laboratory of Digital Sciences of Nantes, IS3P team). He received his engineering degree in robotics in 2017 from the Polytechnic School of Montpellier France. Currently he is involved in the SmartEmma research project in which he is working on the challenges of digital transformation of companies and the industry 4.0 issues. He is mainly specialised in knowledge management for the development of decision support systems. Despite his very recent career in the field of scientific research, he has managed to publish his research in 3 international journals and several national and international conferences.

Farouk Belkadi

Dr Farouk Belkadi is an associate professor at Ecole Centrale de Nantes (researcher at LS2N laboratory, IS3P team). He received his PhD in Industrial Engineering from the University of Franche Comté in 2006. The PhD thesis treats the problematics of knowledge and skill management in design projects. During his career, he was involved in several research projects at national and European level, dealing with various topics: Product-service systems, system engineering, information systems and PLM, knowledge engineering and management, and, recently industry 4.0 related technologies. His research results were disseminated in 30 international journals and more than 70 national and international conferences

Florent Laroche

Dr Florent Laroche is assistant professor at Ecole Centrale de Nantes (France). After a engineering diploma in 2003 and his PhD in 2007, he was empowerment for driving his own researches in 2017. At university, Florent Laroche is the head of Mechanical Department for design and production product and system; Florent Laroche is doing his research at the laboratoryLS2N (Digital Science Laboratory, Nantes, France-UMR CNRS6004). He works on the translation of knowledge of the past in contemporary knowledge, readable and understandable in the present socio-technical system. One objective of this research is to reuse the technical heritage as a basis for innovation. His research topics are KM, PLM, information system modelling, interoperability, enterprise modelling, virtual engineering, reverse engineering. He is active in 21 scientific networks from all over the world. He is author, co-author or invited speaker in more than 230 scientific communications quoted more than700 times; director of 12 PhD, 26 masters. He is expert for Museums and ICOMOS.

Mathieu Ritou

Dr Mathieu Ritou is Associate Professor of Mechanical Engineering at University of Nantes (IUT de Nantes) and LS2N lab (Laboratory of Digital Sciences of Nantes, UMR 6004, RoMaS research team). After a MSc degree and Aggregation at E.N.S. Cachan, his PhD at IRCCyN lab was about the monitoring of machining (2006). His research topics are Smart Manufacturing (decision aid by monitoring and data mining), spindle dynamics and CFRP cutting. He has supervised 11 PhD and 8 MSc students. He co-authored 17 articles in international journals and 40 conferences papers. He has 10 years of experience of collaborative research programs, notably project leader of ANR SmartEmma and participant to European H2020 FoF Coroma and CleanSky2 Rodeo projects. He is international expert at the ISO T.C.39/S.C.2. He is secretary of the association ‘Club Usinage Innovation’, which gathers the main French industrial and academic actors of the Factory of the Future in machining. He is Associate Member of the CIRP (the International Academy for Production Engineering), in Machine & Organisation committees.

Benoit Furet

Pr Benoit Furet, after ENSM Nantes and MSc degree at E.N.S. Cachan, he became associate professor at the Institute of Technologies of the University of Nantes. In 1984, his PhD at LAN laboratory was about cutting tool monitoring in milling. Currently, he is a full Professor at University of Nantes and researcher in ROMAS group of LS2N Lab. He developed the following research topics: Robotics for machining, CFRP machining, Process Monitoring and Smart Machining. He has supervised 15 PhD and 20 MSc Students. He has about 15 years of experience of collaborative research programs. He is involved in H2020 FoF02-16 COROMA and CleanSky2 RODEO projects. He is author or co-author of 38 articles and 3 patents. He is Expert member of the Jules Verne Research Institute of Technology. He is Assistant Vice President of the University of Nantes in charge of Innovation and Enterprises Relationship.