On Green Supplier Selection Problem Utilizing Modified TOPSIS with R-norm Picture Fuzzy Discriminant Measure

Singh, Ankush; Dhumras, Himanshu; Bajaj, Rakesh Kumar

doi:10.1109/impact55510.2022.10029080

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Cited by 4 publications

References 15 publications

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On Assessment of Risk Factors for Cardiovascular Disease Complexities Utilizing q-Rung Picture Fuzzy Multi-criteria Decision-Making Approach

Dhumras,

Bajaj,

Garg

2024

Lecture Notes in Networks and Systems

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On Assessment of Risk Factors for Cardiovascular Disease Complexities Utilizing q-Rung Picture Fuzzy Multi-criteria Decision-Making Approach

Dhumras,

Bajaj,

Garg

2024

Lecture Notes in Networks and Systems

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On Complex Picture Hesitant Fuzzy Set and Its Application in Classification Problem

Poonia,

Bajaj,

Shukla

2024

Lecture Notes in Networks and Systems

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An integrated framework for assessing renewable-energy supply chains using multicriteria decision-making: a study on Bangladesh

Azad,

Oishi,

Haque

et al. 2024

Clean Energy

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The depletion in non-renewable energy sources and a fast-growing population in Bangladesh are exacerbating the already existing energy scarcity, highlighting the need for an efficient and robust renewable-energy supply chain. The primary goal of this study is to evaluate the most optimized renewable-energy supply chain based on natural resource availability and government policies of Bangladesh. In the present study, four renewable energy resources, including solar, biomass, wind and hydropower, are studied and nine subcriteria are defined under four primary criteria for each supply chain. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) are multicriteria decision-making approaches used in this study to compare and choose the best renewable-energy supply chain. The relative significance of four supply-chain criteria for primary renewable energy in this study, namely energy procurement, production, operations and maintenance costs, and social and environmental impact, is gathered via a survey. The results of this research, supported by a comprehensive sensitivity analysis, indicate that hydropower is the best renewable-energy supply chain, followed by wind as a compromise solution, biomass and solar. The study also demonstrates that no energy source can satisfy all supply-chain criteria alone; each resource is better for a specific criterion—solar is better for procurement, hydropower is significant for production and wind is remarkable for operations and social impact. Therefore, to maximize output, renewable energy sources must be integrated. From Bangladesh’s perspective, for the first time, by using TOPSIS and VIKOR together, this study offers significant insights to establish an efficient and sustainable renewable-energy supply chain for practitioners, academics and policymakers.

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On Green Supplier Selection Problem Utilizing Modified TOPSIS with R-norm Picture Fuzzy Discriminant Measure

Cited by 4 publications

References 15 publications

On Assessment of Risk Factors for Cardiovascular Disease Complexities Utilizing q-Rung Picture Fuzzy Multi-criteria Decision-Making Approach

On Assessment of Risk Factors for Cardiovascular Disease Complexities Utilizing q-Rung Picture Fuzzy Multi-criteria Decision-Making Approach

On Complex Picture Hesitant Fuzzy Set and Its Application in Classification Problem

An integrated framework for assessing renewable-energy supply chains using multicriteria decision-making: a study on Bangladesh

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