Integrating SWOT analysis into the FMEA methodology to improve corrective action decision making

Sutrisno, Agung and Kwon, Hyuck Moo and Gunawan, Indra and Eldridge, Stephen and Lee, Tzong Ru (2016) Integrating SWOT analysis into the FMEA methodology to improve corrective action decision making. International Journal of Productivity and Quality Management, 17 (1). pp. 104-126. ISSN 1746-6474

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Abstract

Improving the method for selecting risk-based competing improvement strategies has equal importance with failure risk quantification in the FMEA methodology. Nevertheless, there are few studies which focus on this issue. Furthermore, the influence of factors relating to the business environment which may support or derail improvement efforts is not considered in previous studies. In order to address these limitations, a model is proposed in which the impact of environmental factors is considered by integrating SWOT analysis into the FMEA method in order to support the appraisal of competing risk-based improvement efforts. The impact of SWOT variables is deployed using a decision support model based upon the benefit, cost, opportunity, risk and organisational readiness index (BCOR2) approach in order for the FMEA team to select from competing corrective actions. A case example from industry is provided in which the proposed model is applied. This example illustrates that this new model contributes successfully to good practice by identifying the most appropriate corrective action option to take and improves upon the decisions provided by existing developments of the FMEA methodology

Item Type:
Journal Article
Journal or Publication Title:
International Journal of Productivity and Quality Management
Additional Information:
© 2016 Inderscience Enterprises Ltd.
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1400
Subjects:
?? business, management and accounting(all)contributions to practice ??
ID Code:
77454
Deposited By:
Deposited On:
05 Jan 2016 11:44
Refereed?:
Yes
Published?:
Published
Last Modified:
22 Jan 2024 00:12