A Combined Interval Type-2 Fuzzy MCDM Framework for the Resilient Supplier Selection Problem

Hoseini, Seyed Amirali; Zolfani, Sarfaraz Hashemkhani; Skačkauskas, Paulius; Fallahpour, Alireza; Saberi, Sara

doi:10.3390/math10010044

Cited by 27 publications

(11 citation statements)

References 56 publications

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“…Therefore, to prioritize the suppliers, they identified criteria and used ISM and DEMATEL methods in the fuzzy environment to check the most effective criteria. Hoseini et al, (2021b) defined resilient supplier selection as a challenging problem for the supply chain management. They defined sub-criteria for the main criterion of resilience and used BWM and TOPSIS methods to prioritize suppliers.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Therefore, considering resilience when choosing a supplier increases the ability to control the supply chain when disruptions occur. Also, the resilient supply chain can protect various industries from disruptions and facilitate the return to the original state (Hoseini et al, 2021b). The concept of resilience should be developed in the supply chain to overcome potential disruptions.…”

Section: Introductionmentioning

confidence: 99%

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Sustainable resilient supplier selection for IoT implementation based on the integrated BWM and TRUST under spherical fuzzy sets

Bonab

Haseli

Rajabzadeh

et al. 2023

Decis. Mak. Appl. Manag. Eng.

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Supplier selection process plays a vital role in supply chain management and is the most important variable in its success. With increasing environmental considerations, organizations must consider sustainability considerations and economic goals to protect the environment. Furthermore, the destructive effects of disruptions on the supply chain performance of companies have prompted organizational experts to pay special attention to the concept of resilience. This study developed an integrated approach based on the extended version of Multi-Criteria Decision-Making (MCDM) methods in a spherical fuzzy (SFS) environment to address sustainable and resilient IoT supplier selection. In the proposed approach, the main criteria (i.e., resilience, and sustainability) have been used in the supplier selection process. Then, these criteria are weighted using the developed SFS-Best-Worst Method (BWM), which reduces uncertainty in pairwise comparisons. In the next step, the 14 selected IoT suppliers are evaluated and prioritized by applying SFS-mulTi-noRmalization mUlti-Distance aSsessmenT (TRUST) that considers a multi-normalization algorithm to reduce subjectivity in normalized data. The results of this study shows that the pollution control and risk-taking sub-criteria are placed in the first and second priorities, respectively. The comparison of the results of the SFS-TRUST with other MCDM methods and sensitivity analysis demonstrates the performance of the proposed approach and its ranking stability in various scenarios.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sustainable resilient supplier selection for IoT implementation based on the integrated BWM and TRUST under spherical fuzzy sets

Bonab

Haseli

Rajabzadeh

et al. 2023

Decis. Mak. Appl. Manag. Eng.

View full text Add to dashboard Cite

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“…They validated their proposed model in a therapy equipment supply chain of a company and suggested some managerial insights for the managers in the recent pandemic. Hoseini et al ( 2022 ) proposed a framework for resilient supplier selection problem while considering uncertainty through interval type-2 fuzzy (IT2F) environment. They also used best–worst method and compared the results with analytical hierarchy process (AHP) and simple additive weighting (SAW) approaches.…”

Section: Literature Reviewmentioning

confidence: 99%

A goal programming-based fuzzy best–worst method for the viable supplier selection problem: a case study

et al. 2022

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Since the COVID-19 outbreak has led to drastic changes in the business environment, researchers attempt to introduce new approaches to improve the capability and flexibility of the industries. In this regard, recently, the concept of the viable supply chain, which tried to incorporate the leagile, resiliency, sustainability, and digitalization aspects into the post-pandemic supply chain, has been introduced by researchers. However, the literature shows that there is lack of study that investigated the viable supplier selection problem, as one of the crucial branches of viable supply chain management. Therefore, to cover this gap, the current work aims to develop a decision-making framework to investigated the viable supplier selection problem. In this regard, owing to the crucial role of the oxygen concentrator device during the COVID-19 outbreak, this research selects the mentioned product as a case study. After determining the indicators and alternatives of the research problem, a novel method named goal programming-based fuzzy best–worst method (GP-FBWM) is proposed to compute the indicators’ weights. Then, the potential alternatives are prioritized employing the Fuzzy Vlse Kriterijumsk Optimizacija Kompromisno Resenje method. In general, the main contributions and novelties of the present research are to incorporate the elements of the viability concepts in the supplier selection problem for the medical devices industry and to develop an efficient method GP-FBWM to measure the importance of the criteria. Then, the developed method is implemented and the obtained results are analyzed. Finally, managerial and theoretical implications are provided. Supplementary Information The online version contains supplementary material available at 10.1007/s00500-022-07572-0.

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“…In supplier selection problems, Celik et al ( 2019 ) found the most suitable supplier IT2F-BWM and TODIM. Hoseini et al ( 2021 ) used BWM in combination with TOPSIS. IT2F-BWM has been widely used in solving risk assessment problems.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Verbal expressions evaluating risk factors were modeled with the help of type-2 fuzzy numbers. The priorities of failures were determined with IT2FBWM Hoseini et al ( 2021 ) Supplier selection TOPSIS For the evaluation of potential suppliers in Iranian construction industry, criterion weights were determined with IT2FBWM and supplier evaluation with type-2 fuzzy TOPSIS Norouzia and Hajiagha ( 2021 ) Numerical example NA The method is proposed by combining BWM hesitant and interval type-2 fuzzy sets. A numerical example is given to demonstrate the effectiveness of the proposed method Celik and Gul ( 2021 ) Risk assessment MARCOS Risk weights are weighted with IT2FBWM and hazards are prioritized with MARCOS Chen et al ( 2022 ) Hospital selection Data envelopment analysis (DEA) This study was carried out in the TrIT2F environment, which will combine BWM and DEA, and select the reasonable sites of makeshift hospitals …”

Section: Literature Reviewmentioning

confidence: 99%

COVID-19 safe campus evaluation for universities by a hybrid interval type-2 fuzzy decision-making model

Baskak

Ozbey

Yücesan

et al. 2022

Environ Sci Pollut Res

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The fight against the COVID-19 pandemic, which has affected the whole world in recent years and has had devastating effects on all segments of society, has been one of the most important priorities. The Turkish Standards Institution has determined a checklist to contribute to developing safe and clean environments in higher education institutions in Turkey and to follow-up on infection control measures. However, this study is only a checklist that makes it necessary for decision-makers to make a subjective evaluation during the evaluation process, while the need to develop a more effective, systematic framework that takes into account the importance levels of multiple criteria has emerged. Therefore, this study applies the best-worst method under interval type-2 fuzzy set concept (IT2F-BWM) to determine the importance levels of criteria affecting the “COVID-19 safe campus” evaluation of universities in the context of global pandemic. A three-level hierarchy consisting of three main criteria, 11 sub-criteria, and 58 sub-criteria has been created for this aim. Considering the hierarchy, the most important sub-criterion was determined as periodic disinfection. The high contribution of the interval-valued type-2 fuzzy sets in expressing the uncertainty in the decision-makers’ evaluations and the fact that BWM provides criterion weights with a mathematical optimization model that produces less pairwise comparisons and higher consistency are the main factors in choosing this approach. Simple additive weighting (SAW) has also been injected into the IT2F-BWM to determine the safety level of any university campus regarding COVID-19. Thus, decision-makers will be better prepared for the devastating effects of the pandemic by first improving the factors that are relatively important in the fight against the pandemic. In addition, a threshold value will be determined by considering all criteria, and it will prepare the ground for a road map for campuses. A case study is employed to apply the proposed model, and a comparison study is also presented with the Bayesian BWM to validate the results of the criteria weights. Supplementary Information The online version contains supplementary material available at 10.1007/s11356-022-22796-1.

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A Combined Interval Type-2 Fuzzy MCDM Framework for the Resilient Supplier Selection Problem

Cited by 27 publications

References 56 publications

Sustainable resilient supplier selection for IoT implementation based on the integrated BWM and TRUST under spherical fuzzy sets

Sustainable resilient supplier selection for IoT implementation based on the integrated BWM and TRUST under spherical fuzzy sets

A goal programming-based fuzzy best–worst method for the viable supplier selection problem: a case study

COVID-19 safe campus evaluation for universities by a hybrid interval type-2 fuzzy decision-making model

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