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

Arunodaya Raj Mishra; Pratibha Rani; Abhijit Saha; Ibrahim M Hezam; Fausto Cavallaro; Ripon K Chakrabortty

doi:10.1016/j.heliyon.2023.e14244

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

Heliyon. 2023 Mar 7;9(3):e14244. doi: 10.1016/j.heliyon.2023.e14244. eCollection 2023 Mar.

Authors

Arunodaya Raj Mishra¹, Pratibha Rani², Abhijit Saha², Ibrahim M Hezam³, Fausto Cavallaro⁴, Ripon K Chakrabortty⁵

Affiliations

¹ Department of Mathematics, Government College Raigaon, Satna, MP-485441, India.
² Department of Engineering Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh-522302, India.
³ Department of Statistics & Operations Research, College of Sciences, King Saud University, Riyadh, Saudi Arabia.
⁴ Department of Economics, University of Molise, Via De Sanctis, 86100 Campobasso, Italy.
⁵ School of Engineering and IT, UNSW Canberra at ADFA, Australia.

Abstract

Lithium-ion battery (LiB), a leading residual energy resource for electric vehicles (EVs), involves a market presenting exponential growth with increasing global impetus towards electric mobility. To promote the sustainability perspective of the EVs industry, this paper introduces a hybridized decision support system to select the suitable location for a LiB manufacturing plant. In this study, single-valued neutrosophic sets (SVNSs) are considered to diminish the vagueness in decision-making opinions and evade flawed plant location assessments. This study divided into four phases. First, to combine the single-valued neutrosophic information, some Archimedean-Dombi operators are developed with their outstanding characteristics. Second, an innovative utilization of the Method based on the Removal Effects of Criteria (MEREC) and Stepwise Weight Assessment Ratio Analysis (SWARA) is discussed to obtain objective, subjective and integrated weights of criteria assessment with the least subjectivity and biasedness. Third, the Double Normalization-based Multi-Aggregation (DNMA) method is developed to prioritize the location options. Fourth, an illustrative study offers decision-making strategies for choosing a suitable location for a LiB manufacturing plant in a real-world setting. Our outcomes specify that Bangalore (L ₂), with an overall utility degree (0.7579), is the best plant location for LiB manufacturing. The consistency and robustness of the presented methodology are discussed with the comparative study and sensitivity investigation. This is the first study in the current literature that has proposed an integrated methodology on SVNSs to select the best LiB manufacturing plant location by estimating both the objective and subjective weights of criteria and by considering ambiguous, inconsistent, and inexact manufacturing-based information.

Keywords: DNMA; Lithium-ion battery; MEREC; Manufacturing plant location selection; Multi-criteria decision-making; SWARA; Single-valued neutrosophic sets.