Modified failure mode and effect analysis to mitigate sustainable related risk in the palm oil supply chain

Anugerah, Adhe Rizky; Ahmad, Siti Hajar; Samin, Razali; Samdin, Zaiton; Kamaruddin, Norfaryanti

doi:10.1080/2374068x.2021.1898180

Cited by 9 publications

(6 citation statements)

References 23 publications

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“…The framework of research approach as presented by Mangla et al. (2015) and Anugerah et al. (2021) is used as reference model.…”

Section: Methodsmentioning

confidence: 99%

“…To demonstrate the use of integrated PSI and the Shannon entropy into supply chain FMEA model as new offering method to assess criticality of supply chain sustainability risk, a case study (Yin, 2014). The framework of research approach as presented by Mangla et al (2015) and Anugerah et al (2021) is used as reference model. A case example focused on the SME sector selling wooden handicraft is chosen.…”

Section: Research Methodology 31 Case Study Descriptionmentioning

confidence: 99%

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Supply chain sustainability risk assessment model using integration of the preference selection index (PSI) and the Shannon entropy

Sutrisno

Kumar

2022

IJQRM

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PurposeThis study proposes a new model for assessing supply chain sustainability risk integrating subjectivity and objectivity of decision-maker. Research has shown the vacancy of study in dealing with the above issue. To fill this research gap, a new decision support model considering the subjectivity and objectivity of decision-makers in assigning the weight of the supply chain risk reprioritization criteria is presented and demonstrated using a case example.Design/methodology/approachThis study adopts a new decision support model for assessing supply chain sustainability risk based on additional failure mode and effect analysis (FMEA) parameters and its integration with preference selection index (PSI) methodology and the Shannon entropy. A case example of the supply chain small and medium enterprise (SME) producing handy crafts has been used in this study.FindingsThe result of the study reveals critical sustainability risk dimensions and their risk elements demanding management attention to support realization to a more sustainable business operation.Research limitations/implicationsThe use of a single case study is often associated as a limitation in the research studies, and this study is based on findings from SMEs in the handy craft sector in a developing country. Nonetheless, future studies may focus on replicating this study using more samples. This preliminary study provides academics and practitioners with an exemplar of supply chain sustainability risk assessment from the SME in a developing country.Practical implicationsThe result of this study is beneficial for practitioners, particularly owner-managers of SMEs who can use this study as guidance on how to identify and select the critical sustainability risks and plan mitigating strategies accordingly.Originality/valueScientific effort on appraising criticality of supply chain sustainability risks considering subjectivity and objectivity of decision-maker simultaneously is missing in earlier studies. To the best of the author’s knowledge, this is the first paper applying the PSI and Shannon entropy method and using it for evaluating the impact of supply chain risk based on five sustainability pillars. The findings and suggestions for future research initiatives will provide new insights for scholars and practitioners in managing SME supply chain sustainability risks.

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“…The framework of research approach as presented by Mangla et al. (2015) and Anugerah et al. (2021) is used as reference model.…”

Section: Methodsmentioning

confidence: 99%

Section: Research Methodology 31 Case Study Descriptionmentioning

confidence: 99%

Supply chain sustainability risk assessment model using integration of the preference selection index (PSI) and the Shannon entropy

Sutrisno

Kumar

2022

IJQRM

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“…(2015) use DEMATEL method to analyze the inter-dependency among risks in crude oil SC and ANP is applied to analyze priorities of risks. The FMEA combined with the AHP is utilized by Anugerah et al. (2021) to assess the relative importance of the selected sustainability-related SC risks.…”

Section: Literature Reviewmentioning

confidence: 99%

“…For example, Fazli et al (2015) use DEMATEL method to analyze the inter-dependency among risks in crude oil SC and ANP is applied to analyze priorities of risks. The FMEA combined with the AHP is utilized by Anugerah et al (2021) to assess the relative importance of the selected sustainability-related SC risks. The Pareto-based BWM is proposed by Moktadir et al (2021) to identify and assess the importance of the RFs in leather industry.…”

Section: Literature Review 21 Ssc Risk Factors Prioritizingmentioning

confidence: 99%

Prioritizing risk factors in sustainable supply chain using fuzzy Kano and interval-valued intuitionistic fuzzy QFD

Xie

Xiang

et al. 2022

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PurposeThe purpose of the paper is to develop a hybrid method to prioritize risk factors (RFs) of sustainable supply chain (SSC) considering sustainable customer requirements (CRs) and uncertain evaluation.Design/methodology/approachIn the proposed method, fuzzy Kano model (FKM) is applied to prioritize sustainable CRs considering customer satisfaction (CS) and objective weight of each CR, the interval-valued intuitionistic fuzzy (IVIF) set theory is integrated with quality function deployment (QFD) to translate the sustainable CRs into RFs of SSC under uncertain environment and the IVIF cross-entropy is used to conduct objective analysis to prioritize RFs. Finally, a case in air-conditioner-manufacturing company is presented to demonstrate the proposed method.FindingsA case study of SSC risk management, the comparative analysis and associated discussions are conducted to illustrate the feasibility and effectiveness of the proposed method. The results obtained from the case study shows that RF5 (market share reduction) is the most important RF in the SSC. Compared with the existing methods, the proposed method can integrate sustainable CRs into SSC's RFs, handle uncertain information effectively and obtain objective importance of RFs.Originality/valueTheoretically, the paper develops a customer-oriented model based on the FKM, QFD, IVIF sets and entropy theory to prioritize RFs of SSC under uncertain environment. The model enables to integrate sustainable CRs into RFs managements and is efficient to deal with the subjectivity and conduct objective analysis to prioritize RFs. In practice, the systematic and correct RFs' priorities analysis provides reliable decision support for the managers to take measures to avoid or mitigate the critical RFs.

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“…Liu et al., 36 extended the ELECTRE (Elimination Et Choix Traduisant la REalité) method for determining the risk ranking orders of potential failure modes and applied this method to a practical healthcare risk analysis case. Anugerah et al., 37 combined the AHP (Analytic Hierarchy Process) with FMEA to analyze the risk of the palm oil supply chain. To achieve high acceptability of the collective ranking result of failure modes, Zhang et al., 38 improved the FMEA based on the consensus model.…”

Section: Literature Reviewmentioning

confidence: 99%

A likelihood‐based ORESTE method for failure mode and effect analysis (FMEA) based risk analysis problem under interval type‐2 fuzzy environment

Zheng

Liu

Wang

2021

Quality & Reliability Eng

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The failure mode and effect analysis (FMEA) model is an effective safety system analysis method to identify and analyze potential risks. Nevertheless, the traditional FMEA possesses deficiencies associating with questionable multiplication procedure, overlooking uncertainty and interaction relationships among risk factors. Besides, determining the risk priority considering the detailed interrelation among the failure modes is beyond the capability of current FMEA models, especially in the case of complex preference information. Thus, this paper proposed an extended FMEA by integrating ORESTE (organization, rangement et Synthèse de données relarionnelles, in French) method, Heronian Mean (HM) operator, and interval type‐2 fuzzy sets (IT2FSs). First, the IT2FSs are utilized to depict the complex risk preference information. Second, the HM operator, as an aggregated tool, is utilized to obtain collective evaluation information, which can fully reflect the overall correlations among individual risk assessment information. Then, an extended ORESTE method based on the likelihood of IT2FSs is utilized to obtain the priority ranking orders of failure modes. In this extended method, a new IT2FSs global preference score is constructed to determine the weak ranking. And, three new preference intensities based on the likelihood of IT2FSs are constructed to determine PIR (preference, indifference, and incomparability) structure which can show the detailed relationships between failure modes. Finally, an illustrative example of a nuclear reheat valve system is selected to verify its application and efficiency.

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Modified failure mode and effect analysis to mitigate sustainable related risk in the palm oil supply chain

Cited by 9 publications

References 23 publications

Supply chain sustainability risk assessment model using integration of the preference selection index (PSI) and the Shannon entropy

Supply chain sustainability risk assessment model using integration of the preference selection index (PSI) and the Shannon entropy

Prioritizing risk factors in sustainable supply chain using fuzzy Kano and interval-valued intuitionistic fuzzy QFD

A likelihood‐based ORESTE method for failure mode and effect analysis (FMEA) based risk analysis problem under interval type‐2 fuzzy environment

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