Design and development of modified service failure mode and effects analysis model

Jegadheesan, C.; Arunachalam, Viswanathan; Devadasan, S.R.; Srinivasan, P.

doi:10.1504/ijsom.2007.011464

Cited by 11 publications

(2 citation statements)

References 17 publications

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“…FMEA METODA FMEA (Failure Mode and Effects Analysis) metoda za ocenu rizika razvijena je sredinom šezdesetih godina dvadesetog veka u SAD u okviru programa svemirskih istraživanja. Danas FMEA metoda ima veoma široku primenu za identifikovanje potencijalnih nedostataka u različitim delatnostima u proizvodnom sektoru [10], automobilskoj industriji [6], metalurgiji [2], proizvodnji hrane [7,9], u oblasti prevoza putnika [5], zdravstvu [8], kao i u oblasti trgovine [3] i etrgovine [12]. Nuchpho i ostali (2014.)…”

Section: Uvodunclassified

Improvement of the risk assessment of the implementation of railway digitalization using SWOT - FMEA method

Lj.¹,

Macura²,

Milutinović³

2020

Tehnika

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Digitalizacija predstavlja svetski trend koji nalazi primenu u svim sferama poslovanja. U slučaju železničkog saobraćaja i transporta, uvođenje digitalizacije vodi ka vidnom porastu udela i nivoa konkurentnosti ovog vida saobraćaja na transportnom tržištu. Da bi ovaj proces bio uspešno implementiran u postojeći železnički sistem, potrebno je sprovesti odgovarajuća ispitivanja i analize opravdanosti. U ovom radu predložena je primena SWOT analize za identifikovanje karakteristika elemenata digitalizacije. Posle identifikovanja potencijalnih pretnji za proces digitalizacije, sprovedena je ocena rizika upotrebom FMEA metode.

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Section: Uvodunclassified

Improvement of the risk assessment of the implementation of railway digitalization using SWOT - FMEA method

Lj.¹,

Macura²,

Milutinović³

2020

Tehnika

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“…In fulfilling the above requirement, the decision support model of FMEA (failure mode and effect analysis) for evaluating the criticality of lean waste risk has been modified to fit with specific requirements such as dealing with risk reprioritization of lean waste. Due to the limitations on using the risk priority number (RPN) in conventional FMEA, many investigative efforts by using various risk reprioritization models have been proposed by Shahin (2004), Dong (2007), Ahsen (2008), Sellapan and Palanikumar (2013), Liu et al (2015a), Nguyen et al (2016) and applied at various application settings such as waste stream analysis (Sherwood and Shu, 2000), transportation service (Jegadeshan et al, 2007), health-care delivery process (Barends et al, 2012), manufacturing (Sawhney et al, 2010;Khorsidhi et al, 2016;De Souza and Carpinetti, 2014;Loli et al, 2016), supplier selection (Chen and Wu, 2013), maintenance (Srivastava and Mondal, 2014;Selim et al, 2015) and electricity generating service (Sutrisno et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

An improved modified FMEA model for prioritization of lean waste risk

Sutrisno

Gunawan

Vanany

et al. 2018

IJLSS

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Purpose Proposing an improved model for evaluating criticality of non-value added (waste) in operation is necessary for realizing sustainable manufacturing practices. The purpose of this paper is concerning on improvement of the decision support model for evaluating risk criticality lean waste occurrence by considering the weight of modified FMEA indices and the influence of waste-worsening factors causing the escalation of waste risk magnitude. Design/methodology/approach Integration of entropy and Taguchi loss function into decision support model of modified FMEA is presented to rectify the limitation of previous risk reprioritization models in modified FMEA studies. The weight of the probability components and loss components are quantified using entropy. A case study from industry is used to test the applicability of the integration model in practical situation. Findings The proposed model enables to overcome the limitations of using subjective determination on the weight of modified FMEA indices. The inclusion of the waste-worsening factors and Taguchi loss functions enables the FMEA team to articulate the severity level of waste consequences appropriately over the use of ordinal scale in ranking the risk of lean waste in modified FMEA references. Research limitations/implications When appraising the risk of lean waste criticality, ignorance on weighting of FMEA indices may be inappropriate for an accurate risk-based decision-making. This paper provides insights to scholars and practitioners and others concerned with the lean operation to understand the significance of considering the impact of FMEA indices and waste-worsening factors in evaluating criticality of lean waste risks. Practical implications The method adopted is for quantifying the criticality of lean waste and inclusion of weighting of FMEA indices in modified FMEA provides insight and exemplar on tackling the risk of lean waste and determining the most critical waste affecting performability of company operations. Originality/value Integration of the entropy and Taguchi loss function for appraising the criticality of lean waste in modified FMEA is the first in the lean management discipline. These findings will be highly useful for professionals wishing to implement the lean waste reduction strategy.

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Design and development of an integrated quality control system

Azadeh

Zeynali²

2008

IJPQM

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Design and development of modified service failure mode and effects analysis model

Cited by 11 publications

References 17 publications

Improvement of the risk assessment of the implementation of railway digitalization using SWOT - FMEA method

Improvement of the risk assessment of the implementation of railway digitalization using SWOT - FMEA method

An improved modified FMEA model for prioritization of lean waste risk

Design and development of an integrated quality control system

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