Failure modes and effects analysis through knowledge modelling

Teoh, Ping Chow; Case, Keith

doi:10.1016/j.jmatprotec.2004.04.298

Cited by 76 publications

(36 citation statements)

References 8 publications

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“…FMEA and FMECA can be used assess risk at any stage of a project. However, the usefulness of FMEA and FMECA is often limited in early stages of projects when project details are largely unknown (Howell et al, 2010;Teoh and Case, 2004). In general, many techniques for risk identification require deep knowledge of previous projects and rely on retrospective analyses by subject matter experts.…”

Section: Project Risk Managementmentioning

confidence: 99%

A study of the impact of project classification on project risk indicators

Yim

Castaneda

Doolen

et al. 2015

International Journal of Project Management

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Section: Project Risk Managementmentioning

confidence: 99%

A study of the impact of project classification on project risk indicators

Yim

Castaneda

Doolen

et al. 2015

International Journal of Project Management

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“…The maximum and minimum risk values are geometrically averaged to measure the overall risks of failure modes. Teoh and Case (2004) have developed a model which attempts to make use of knowledge on FMEA through a knowledge modelling approach. Functional reasoning techniques are used to assist this FMEA model to enable the generation of FMEA automatically from historical data.…”

Section: From Fmea To Tfmea: a View In The Tqm Fieldmentioning

confidence: 99%

Total failure mode and effects analysis in tea industry: A theoretical treatise

Ebenezer¹,

Devadasan

Sreenivasa

et al. 2011

Total Quality Management & Business Excellence

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One of the harmless beverages consumed by humans is tea. Today, tea manufacturers are striving to produce high-quality tea by making changes in the manufacturing processes and agronomic practices followed. However, in these efforts 'total quality management' (TQM) techniques are not being used. In order to overcome this research and practice gap, in this paper, the method of applying a technique called 'total failure mode and effects analysis' (TFMEA) in tea industry is theoretically explored. TFMEA is a simple and an effective technique when compared with 'Failure Mode and Effects Analysis' which is widely used in the TQM field. TFMEA is devoid of any complex computations and procedures and therefore it facilitates illiterate labourers of the tea industry to participate in the endeavour of achieving continuous quality improvement in tea manufacturing. Despite its simplicity, tactical steps are required to be followed to gain the acceptance of TFMEA programme among the labourers and managerial personnel of tea manufacturing companies. These tactical steps are illustrated in this paper using a hypothetical case study. The paper concludes by pointing out that realtime case studies are required to be carried out for assessing the practicality of implementing TFMEA programme in the tea industry.

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“…One is computer-aided FM EA process software, such as Relex software, and FMEA software based on knowledge modeling [2] (P.C. Teoh, 2004).…”

Section: Introductionmentioning

confidence: 99%

“…Teoh, 2004). They may somehow helpful, but the FMEA knowledge is hardly reusable due to the FMEA-related information is acquired in natural language, lack of uniform, consistent and semantic expression of FMEA knowledge.…”

Section: Introductionmentioning

confidence: 99%

Application Research of Ontology-enabled Process FMEA Knowledge Management Method

Zhao

Zhu²

2012

IJISA

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Abstract-Failure Mode and Effect Analysis (FMEA) isan important method to ensure the effectiveness of manufacturing process, which can prevent the happening of various potential failure. If the knowledge of FMEA can be accumulated and utilized reasonably, the quality management in manufacturing process will get decision support timely, and the efficiency of product quality problem analysis also can be improved. But, it is impossible to integrate the dispersive FMEA knowledge in the manufacturing process because there is a lack of unified management criterion of FMEA knowledge. In order to satisfy the requirement to share, reuse, and maintain FMEA knowledge, the representation method of FMEA knowledge based on ontology is put forward in this study. The structure of FMEA knowledge ontology can be described via visual modeling tool-Unified Modeling Language. In this study, the FMEA repository has been built and the acquisition, storage and searching of FMEA knowledge has been researched to satisfy the need of sharing and reusing of the FMEA knowledge in the manufacturing process.Index Terms-Failure mode and effect analysis, ontology, FMEA knowledge structure model, FMEA repository

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Failure modes and effects analysis through knowledge modelling

Cited by 76 publications

References 8 publications

A study of the impact of project classification on project risk indicators

A study of the impact of project classification on project risk indicators

Total failure mode and effects analysis in tea industry: A theoretical treatise

Application Research of Ontology-enabled Process FMEA Knowledge Management Method

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