Evaluation of Automotive Parts Suppliers through Ordinal Priority Approach and TOPSIS

Bah, Mamadou Kalil; Tulkinov, Shavkatjon

doi:10.52812/msbd.37

Cited by 12 publications

(6 citation statements)

References 47 publications

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“…Since the last few years, the researchers have endeavoured to explore its capability in solving diverse MCDM problems, like selection of healthcare supplier (Quartey-Papafio et al ., 2021), construction sub-contractor (Mahmoudi and Javed, 2022), project portfolio (Mahmoudi et al ., 2022a), transportation planning strategy (Pamucar et al ., 2022), road maintenance strategy (Bouraima et al ., 2022), distributed ledger technology (Sadeghi et al ., 2022a) and so on. Recently, it has also been successfully combined with TOPSIS for project selection (Mahmoudi et al ., 2021a), and shortlising of automotive parts suppliers (Bah and Tulkinov, 2022); data envelopment analysis (DEA) for supplier performance assessment (Mahmoudi et al ., 2022b); FST for selection of resilient suppliers selection (Mahmoudi et al ., 2022c), blockchain technology selection in construction organizations (Sadeghi et al ., 2022b) and appraising construction suppliers (Mahmoudi et al ., 2022d); neutrosophic fuzzy set for industrial robot selection (Abdel-Basset et al ., 2022); rough set theory for sustainable mining (Deveci et al ., 2022); and grey system theory to evaluate low-carbon sustainable technologies in agriculture (Shajedul, 2021), sustainable supplier selection for construction megaprojects (Mahmoudi et al ., 2021b) and identification of barriers to electric vehicle adoption (Candra, 2022).…”

Section: Methodsmentioning

confidence: 99%

“…Recently, it has also been successfully combined with TOPSIS for project selection (Mahmoudi et al, 2021a), and shortlising of automotive parts suppliers (Bah and Tulkinov, 2022); data envelopment analysis (DEA) for supplier performance assessment (Mahmoudi et al, 2022b); FST for selection of resilient suppliers selection (Mahmoudi et al, 2022c), blockchain technology selection in construction organizations (Sadeghi et al, 2022b) and appraising construction suppliers (Mahmoudi et al, 2022d); neutrosophic fuzzy set for industrial robot selection (Abdel-Basset et al, 2022); rough set theory for sustainable mining (Deveci et al, 2022); and grey system theory to evaluate low-carbon sustainable technologies in agriculture (Shajedul, 2021), sustainable supplier selection for construction megaprojects (Mahmoudi et al, 2021b) and identification of barriers to electric vehicle adoption (Candra, 2022).…”

Section: Opamentioning

confidence: 99%

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A grey ordinal priority approach for healthcare waste disposal location selection

Chakraborty

Raut

Rofin

et al. 2023

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PurposeIncreasing public consciousness and demand for sustainable environment make selection of a safe location for effective disposal of healthcare waste (HCW) a challenging issue. This problem becomes more complicated due to involvement of multiple decision makers having varying knowledge and interest, conflicting quantitative and qualitative evaluation criteria, and presence of several alternative locations.Design/methodology/approachTo efficiently resolve the problem, the past researchers have already coupled different multi-criteria decision-making tools with uncertainty models and criteria weight measurement techniques, which are time-consuming and highly computationally complex. Based on involvement of a group of experts expressing their opinions with respect to relative importance of criteria and performance of alternative locations against each criterion, this paper proposes application of ordinal priority approach (OPA) integrated with grey numbers to solve an HCW disposal location selection problem.FindingsThe grey OPA can simultaneously estimate weights of the experts, criteria and locations relieving the decision makers from complicated computational steps. The potentiality of grey OPA in solving an HCW disposal location selection problem is demonstrated here using an illustrative example consisting of three experts, six criteria and four alternative locations.Originality/valueThe derived results show that it can be employed to deal with real-time HCW disposal location selection problems in uncertain environment providing acceptable and robust decisions. It relieves the experts from pair-wise comparisons of criteria, normalization of data, identification of ideal and anti-ideal solutions, aggregation of information and so on, while arriving at the most consistent decision with minimum computational effort.

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Section: Methodsmentioning

confidence: 99%

Section: Opamentioning

confidence: 99%

A grey ordinal priority approach for healthcare waste disposal location selection

Chakraborty

Raut

Rofin

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Mahmoudi and Javed (2022b) used the OPA to evaluate Iranian construction sub-contractors. Bah and Tulkinov (2022) used the OPA to rank the automotive parts suppliers. Mahmoudi et al (2021c) showed the feasibility of the OPA for handling big data.…”

Section: Grey Ordinal Priority Approachmentioning

confidence: 99%

Evaluation of Barriers to Electric Vehicle Adoption in Indonesia through Grey Ordinal Priority Approach

Candra

2022

IJGS

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Emissions from vehicles are a major contributor to greenhouse gases, and thus climate change. Electric vehicles (EVs) provide a promising solution to deal with this problem. Even though in the emerging economies like China and Europe, the adoption of EVs is praiseworthy, the pace of the EV rollout in Indonesia is slow. The Indonesian electric vehicle market has remained stagnant due to the country's low adoption rate of electric vehicles, which is currently less than 0.3%. This is because electric vehicle adoption has been stymied in Indonesia for a variety of reasons. As such, the purpose of this study is to determine the factors influencing electric vehicle adoption in Indonesia and to rank the barriers to widespread EV rollout in the country using the Grey Ordinal Priority Approach (OPA-G). It is found that high initial purchase price, insufficient amount of charging infrastructure, and a lack of government incentives are key barriers to the EV adoption in Indonesia.

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“…The findings show that digitization and on-site renewable energy are the most crucial industrial recovery solutions. OPA and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methodologies were used by Bah and Tulkinov (2022) to assess Chinese suppliers of automotive components using resilience criteria. However, there is no existing study until now that applied the OPA approach in the road sector, especially the factors affecting its maintenance.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Factors Affecting Road Maintenance in Kenyan Counties Using the Ordinal Priority Approach

Bouraima

Qiu

Kiptum³

et al. 2022

JCCE

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Improving Kenya's complete road network has been used to alleviate poverty and achieve the Vision 2030 goals. Roads enhance all areas of social development, including demand for and access to information, health, and education, in addition to poverty alleviation. However, the majority of Kenyan highways are plagued by a variety of maintenance concerns. This study aims to rank counties according to critical severity based on factors affecting road maintenance using an Ordinal Priority Approach (OPA). Five challenges that could have an impact on road maintenance were looked at from the views of three decision-makers. The results of the study show that road materials are the least challenging aspect affecting road maintenance performance, while procurement practices are the most problematic. The studies also revealed that Nairobi County is most affected by these factors, whereas Nakuru County is least affected. In light of the findings, recommendations were made to assist both the government and the road sectors in dealing with these difficulties.

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Evaluation of Automotive Parts Suppliers through Ordinal Priority Approach and TOPSIS

Cited by 12 publications

References 47 publications

A grey ordinal priority approach for healthcare waste disposal location selection

A grey ordinal priority approach for healthcare waste disposal location selection

Evaluation of Barriers to Electric Vehicle Adoption in Indonesia through Grey Ordinal Priority Approach

Evaluation of Factors Affecting Road Maintenance in Kenyan Counties Using the Ordinal Priority Approach

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