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

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.

A hierarchal model of coding knowledge towards facilitating knowledge transfer in organizations

“…Therefore, in contrast with the model which has been offered in this article, in this model some standards have been offered by the experts of that field and knowledge should be encoded in the form of those standards and parameters. In another effort, James et al (2017) suggested a model for automobile system codification and error management. Their model was based on an anthology in which knowledge was recorded and modelled according to the existing experiences in car repair and maintenance.…”

“…This modelled knowledge will be transferred to factories and car manufacturers. James et al (2017) approach is actually making an anthology and adding a record of the car’ failures to the existing items of the anthology. Holsapple and Joshi (2014) also attempted to make an anthology–based structure for sharing the knowledge of the organization staff.…”

A knowledge representation of decision communications in scheme for automotive troubleshooting service

“…The commented words are elicited in various data sets, which are applied to recognize the domain abnormalities. James et al 34 stress an ontological pattern of fault knowledge of automotive frameworks that promote the management system of automotive fault, which support for design and maintenance of cars. The proposed architecture not only allows the system into manipulating settings but also transfer lots of messages about the faults.…”

The service task of automotive troubleshooting process in collaborative environment using knowledge support approach

“…The automotive fault tree is employed to establish the dynamic knowledge database and the inference database. James et al 35 generate an ontological model of failure knowledge that improves the knowledge management of automotive system failures, which assisted regarding development and servicing of cars. Failure knowledge of automotive systems and parts obtained by repairing and servicing can reduce prospective breakdowns, if combined in the design phase.…”