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Knowledge management of automobile system failures through development of failure knowledge ontology from maintenance experience

Author

Listed:
  • Ajith Tom James
  • O.P. Gandhi
  • S.G. Deshmukh

Abstract

Purpose - The purpose of this paper is to develop an ontological model of failure knowledge of automobile systems that will enhance the knowledge management of automobile system failures, which will help for design and maintenance of automobiles. Failure knowledge of automobile systems and components gained through maintenance and repair can mitigate future failures, if integrated in the design. This is an outcome of this paper. Design/methodology/approach - A failure coding scheme is developed for assimilating various entities of automobile failure knowledge and an ontological model is developed for its systematic structuring and representation. The developed failure code is a combination of alphanumeric and numeric code that incorporates ingredients of the failure knowledge, which will help database management, with reduced data entry time and storage space. Findings - The maintenance of automobiles not only brings back the systems into operating conditions but also convey a lot of information regarding the failures. This is a useful input to the designers in development of reliable and maintainable automobile systems. A knowledge base can be created for automobile systems/components failures from their maintenance and service experience. Research limitations/implications - Developed ontological model of automobile failure knowledge gained through maintenance experience can be shared across automobile manufacturers and service providers. This would help in design improvements, with ease and efficient undertaking of maintenance activities. This paper proposes the conceptual ontology structure, which is populated with three cases of automobile maintenance. Originality/value - This research work is a first attempt to develop an ontological model for automobile failures from their maintenance and service experience. The novelty of the work is in its explicit consideration of all knowledge related to failures and maintenance of automobile systems, with their coding and structuring.

Suggested Citation

  • Ajith Tom James & O.P. Gandhi & S.G. Deshmukh, 2017. "Knowledge management of automobile system failures through development of failure knowledge ontology from maintenance experience," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 14(4), pages 425-445, October.
    • Handle: RePEc:eme:jamrpp:jamr-02-2017-0024
    DOI: 10.1108/JAMR-02-2017-0024
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    Cited by:

    1. Zhaoguang Xu & Yanzhong Dang & Peter Munro & Yuhang Wang, 2020. "A data-driven approach for constructing the component-failure mode matrix for FMEA," Journal of Intelligent Manufacturing, Springer, vol. 31(1), pages 249-265, January.

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