A Conceptual Architecture of Ontology Based KM System for Failure Mode and Effects Analysis

Zobia Rehman, Stefania Kifor


Failure Mode and Effects Analysis (FMEA) is a systematic method for
procedure analyses and risk assessment. It is a structured way to identify potential
failure modes of a product or process, probability of their occurrence, and their overall
effects. The basic purpose of this analysis is to mitigate the risk and the impact
associated to a failure by planning and prioritizing actions to make a product or a
process robust to failure. Effective manufacturing and improved quality products
are the fruits of successful implementation of FMEA. During this activity valuable
knowledge is generated which turns into product or process quality and efficiency. If
this knowledge can be shared and reused then it would be helpful in early identification
of failure points and their troubleshooting, and will also help the quality management
to get decision support in time. But integration and reuse of this knowledge is difficult
because there are number of challenges e.g., unavailability of unified criteria of FMEA
knowledge, lack of semantic organization, natural language text based description of
knowledge, most of the times FMEA is started from scratch instead of using existing
knowledge that makes it incomplete for larger systems, and above all its success
depends on the knowledge which is stored in the brains of perfectionists in the form
of experience which may or may not be available anytime anywhere. In this article we
are proposing an Information and Communication Technology (ICT) based solution
to preserve, reuse, and share the valuable knowledge produced during FMEA. In
proposed system existing knowledge available in repositories and experts head will be
gathered and stored in a knowledge base using an ontology, and at the time of need this
knowledge base will be inferred to make decisions in order to mitigate the probable
risks. Ontology based approaches are best suited for the knowledge management
systems, in which human experts are required to model and analyze their expertise
in order to feed them in a conceptual knowledge base for its preservation and reuse.


Knowledge Management (KM), ontology, Failure Mode and Effects Analysis (FMEA)

Full Text:



Carbone, T. A.; Tippett, D.; (2004); Project Risk Management Using the Project Risk FMEA, Engineering Management Journal, 16, 28-35.

Chang, K.H.; Ching, C.H.; (2010); A risk assessment methodology using intuitionistic, International Journal of Systems Science, 1457–1471.

Davenport , T. ; Prusak, L.; (1998); Working knowledge, Boston, MA : Harvard Business School Press.

Dittmann, L. et al (2004); Performing FMEA using ontologies, 18th International workshop on qualitative reasoning, 209–216.

Ebrahimipour, V. et al (2010); An ontology approach to support FMEA studies, Elsevier Expert Systems with Applications, 671-677.

Fernandez, B.I.; Saberwal, R.; (2010); Knowledge Management Systems and Processes, M.E. Sharpe.

Koji, Y. et al (2005); Ontology-based transformation from an extended functional model to FMEA, International conference on engineering design, Melbourne.

Larson, E. W.; Gray, C. F.; (2011); Project Management: The Managerial Process (5th Edition ed.), McGraw Hill.

Laaroussi, A. et al (2007); Ontology-aided FMEA for construction products, J. IEEE Press, 189-194.

LEE, C.F.; (2001); Using FMEA models and ontologies to build diagnostic models, Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 281-293.

Mansouri, D.; Hamdi-Cherif, A.; (2011); Ontology-oriented case-based reasoning (CBR) approach for trainings adaptive delivery, 15th WSEAS Int. Conf. on Computers (CSCC2011), 328-333.

Mikos, W.L. et al (2011); A system for distributed sharing and reuse of design and manufacturing, Elsevier Journal of Manufacturing Systems, 133-143.

Molhanec, M. et al (2010); The Ontology based FMEA of Lead Free Soldering Process, International Spring Seminar on Electronics Technology, ISSE.

Natalya, F. N.; Deborah, L. M.; (2001); Ontology Development 101: A Guide to Creating Your First Ontology, http://protege.stanford.edu/publications/ontology_development/ontology101.html.

PMI; (2000); Project Management Body of Knowledge Guide PMBOK. Pennsaylvania: project management body of knowledge guide PMBOK.

Pouchard, Line; Ivezic, Nenad; Schlenoff, Craig (March 2000); Ontology Engineering for Distributed Collaboration in Manufacturing, Proceedings of the AIS2000 conference.

Sharman, R. et al (2007); Ontologies A hand book of principles, concepts, and applications in information systems, Springer.

Stamatis, D.H.; (2003); Failure mode and effect analysis: FMEA from theory to execution, USA: ASQ Quality Press.

Wang, Y.M. et al (2009); Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean, Elsevier Expert Systems with Applications, 1195-1207.

Xiuxu, Z.; Yuming, Z.; (2012); Application Research of Ontology-enabled Process FMEA Knowledge Management Method, Int. J. Intelligent Systems and Applications, 34-40.

Zuniga, G.L.; (2001); Ontology: Its transformation from philosophy to information system, Proceedings of international conference on formal ontology, 187-197.

DOI: https://doi.org/10.15837/ijccc.2014.4.1167

Copyright (c) 2017 Zobia Rehman, Stefania Kifor

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

CC-BY-NC  License for Website User

Articles published in IJCCC user license are protected by copyright.

Users can access, download, copy, translate the IJCCC articles for non-commercial purposes provided that users, but cannot redistribute, display or adapt:

  • Cite the article using an appropriate bibliographic citation: author(s), article title, journal, volume, issue, page numbers, year of publication, DOI, and the link to the definitive published version on IJCCC website;
  • Maintain the integrity of the IJCCC article;
  • Retain the copyright notices and links to these terms and conditions so it is clear to other users what can and what cannot be done with the  article;
  • Ensure that, for any content in the IJCCC article that is identified as belonging to a third party, any re-use complies with the copyright policies of that third party;
  • Any translations must prominently display the statement: "This is an unofficial translation of an article that appeared in IJCCC. Agora University  has not endorsed this translation."

This is a non commercial license where the use of published articles for commercial purposes is forbiden. 

Commercial purposes include: 

  • Copying or downloading IJCCC articles, or linking to such postings, for further redistribution, sale or licensing, for a fee;
  • Copying, downloading or posting by a site or service that incorporates advertising with such content;
  • The inclusion or incorporation of article content in other works or services (other than normal quotations with an appropriate citation) that is then available for sale or licensing, for a fee;
  • Use of IJCCC articles or article content (other than normal quotations with appropriate citation) by for-profit organizations for promotional purposes, whether for a fee or otherwise;
  • Use for the purposes of monetary reward by means of sale, resale, license, loan, transfer or other form of commercial exploitation;

    The licensor cannot revoke these freedoms as long as you follow the license terms.

[End of CC-BY-NC  License for Website User]

INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL (IJCCC), With Emphasis on the Integration of Three Technologies (C & C & C),  ISSN 1841-9836.

IJCCC was founded in 2006,  at Agora University, by  Ioan DZITAC (Editor-in-Chief),  Florin Gheorghe FILIP (Editor-in-Chief), and  Misu-Jan MANOLESCU (Managing Editor).

Ethics: This journal is a member of, and subscribes to the principles of, the Committee on Publication Ethics (COPE).

Ioan  DZITAC (Editor-in-Chief) at COPE European Seminar, Bruxelles, 2015:

IJCCC is covered/indexed/abstracted in Science Citation Index Expanded (since vol.1(S),  2006); JCR2016: IF=1.374. .

IJCCC is indexed in Scopus from 2008 (CiteScore 2017 = 1.04; SNIP2017 = 0.616, SJR2017 =0.326):

Nomination by Elsevier for Journal Excellence Award Romania 2015 (SNIP2014 = 1.029): Elsevier/ Scopus

IJCCC was nominated by Elsevier for Journal Excellence Award - "Scopus Awards Romania 2015" (SNIP2014 = 1.029).

IJCCC is in Top 3 of 157 Romanian journals indexed by Scopus (in all fields) and No.1 in Computer Science field by Elsevier/ Scopus.


 Impact Factor in JCR2017 (Clarivate Analytics/SCI Expanded/ISI Web of Science): IF=1.29 (Q3). Scopus: CiteScore2017=1.04 (Q2); Editors-in-Chief: Ioan DZITAC & Florin Gheorghe FILIP.