Home > Research > Publications & Outputs > Integrating SWOT analysis into the FMEA methodo...

Research

Electronic data

Links

Text available via DOI:

View graph of relations

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

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Integrating SWOT analysis into the FMEA methodology to improve corrective action decision making. / Sutrisno, Agung ; Kwon, Hyuck Moo; Gunawan, Indra et al.
In: International Journal of Productivity and Quality Management, Vol. 17, No. 1, 2016, p. 104-126.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Sutrisno, A, Kwon, HM, Gunawan, I, Eldridge, S & Lee, TR 2016, 'Integrating SWOT analysis into the FMEA methodology to improve corrective action decision making', International Journal of Productivity and Quality Management, vol. 17, no. 1, pp. 104-126. https://doi.org/10.1504/IJPQM.2016.073283

APA

Sutrisno, A., Kwon, H. M., Gunawan, I., Eldridge, S., & Lee, T. R. (2016). Integrating SWOT analysis into the FMEA methodology to improve corrective action decision making. International Journal of Productivity and Quality Management, 17(1), 104-126. https://doi.org/10.1504/IJPQM.2016.073283

Vancouver

Sutrisno A, Kwon HM, Gunawan I, Eldridge S, Lee TR. Integrating SWOT analysis into the FMEA methodology to improve corrective action decision making. International Journal of Productivity and Quality Management. 2016;17(1):104-126. doi: 10.1504/IJPQM.2016.073283

Author

Sutrisno, Agung ; Kwon, Hyuck Moo ; Gunawan, Indra et al. / Integrating SWOT analysis into the FMEA methodology to improve corrective action decision making. In: International Journal of Productivity and Quality Management. 2016 ; Vol. 17, No. 1. pp. 104-126.

Bibtex

@article{bbabdac3932744faac85962d8c0f2cb6,
title = "Integrating SWOT analysis into the FMEA methodology to improve corrective action decision making",
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",
author = "Agung Sutrisno and Kwon, {Hyuck Moo} and Indra Gunawan and Stephen Eldridge and Lee, {Tzong Ru}",
note = "{\textcopyright} 2016 Inderscience Enterprises Ltd.",
year = "2016",
doi = "10.1504/IJPQM.2016.073283",
language = "English",
volume = "17",
pages = "104--126",
journal = "International Journal of Productivity and Quality Management",
issn = "1746-6474",
publisher = "Inderscience Enterprises Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - Integrating SWOT analysis into the FMEA methodology to improve corrective action decision making

AU - Sutrisno, Agung

AU - Kwon, Hyuck Moo

AU - Gunawan, Indra

AU - Eldridge, Stephen

AU - Lee, Tzong Ru

N1 - © 2016 Inderscience Enterprises Ltd.

PY - 2016

Y1 - 2016

N2 - 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

AB - 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

U2 - 10.1504/IJPQM.2016.073283

DO - 10.1504/IJPQM.2016.073283

M3 - Journal article

VL - 17

SP - 104

EP - 126

JO - International Journal of Productivity and Quality Management

JF - International Journal of Productivity and Quality Management

SN - 1746-6474

IS - 1

ER -