An extended DNMA-based multi-criteria decision-making method and its application in the assessment of sustainable location for a lithium-ion batteries’ manufacturing plant

• DOI: 10.1016/j.heliyon.2023.e14244
• Publication Date: 2023-03-07T22:02:50Z
• Authors: Arunodaya Raj Mishra; Pratibha Rani; Abhijit Saha; Ibrahim M. Hezam; Fausto Cavallaro; Ripon K. Chakrabo...
• Keywords: Vagueness; Robustness; Normalization

Lithium-ion battery (LiB), a leading residual energy resource for electric vehicles (EVs), involves market presenting exponential growth with increasing global impetus towards mobility. To promote the sustainability perspective of EVs industry, this paper introduces hybridized decision support system to select suitable location LiB manufacturing plant. In study, single-valued neutrosophic sets (SVNSs) are considered diminish vagueness in decision-making opinions and evade flawed plant assessments. This study divided into four phases. First, combine information, some Archimedean-Dombi operators developed their outstanding characteristics. Second, an innovative utilization Method based on Removal Effects Criteria (MEREC) Stepwise Weight Assessment Ratio Analysis (SWARA) is discussed obtain objective, subjective integrated weights criteria assessment least subjectivity biasedness. Third, Double Normalization-based Multi-Aggregation (DNMA) method prioritize options. Fourth, illustrative offers strategies choosing real-world setting. Our outcomes specify that Bangalore (L2), overall utility degree (0.7579), best manufacturing. The consistency robustness presented methodology comparative sensitivity investigation. first current literature has proposed SVNSs by estimating both objective considering ambiguous, inconsistent, inexact manufacturing-based information.