A neutrosophic DEMATEL-ANP- Neural network-based six sigma evaluation approach for sustainable supplier selection
Anwesa KAR, Rajiv Nandan RAI
Abstract. Amid the increasing focus on sustainability, compounded by factors of uncertainty and the inclusion of several qualitative and quantitative attributes, the task of selecting the most suitable supplier for modern-day enterprises is increasingly complex. This research introduces a novel approach that integrates neutrosophic Decision-Making-Trial and Evaluation-Laboratory-Analytic Network Process (DEMATEL-ANP) with Neural Network (NN) techniques to evaluate supplier performance and determine the optimal supplier selection centered on Six-Sigma metrics. Firstly, the weights of the organization’s decision criteria for sustainable supplier selection (SSS) are assessed using the neutrosophic DEMATEL-ANP method, and the criteria’s performance is evaluated using the Six-Sigma method. Subsequently, the weights and performance values of each decision variable are fed to the NN for generating an aggregated performance value per supplier for the process of SSS. The methodology outlined in this study is exemplified through the case of a manufacturing company producing automobile exhaust systems to fulfill sustainability standards. The analysis results indicate that Alternative 5, with sigma level of 3, is the most suitable supplier among the five considered alternatives. The novelty of the work lies in developing a methodology by integrating advanced MCDM tools with Six-Sigma and Artificial Intelligence technique that can also consider uncertain interacting attributes in conjunction with the quality evaluation of criteria.
Keywords
Sustainability, Six Sigma, Quality Metric, MCDM, Supplier Selection
Published online 3/1/2025, 10 pages
Copyright © 2025 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Anwesa KAR, Rajiv Nandan RAI, A neutrosophic DEMATEL-ANP- Neural network-based six sigma evaluation approach for sustainable supplier selection, Materials Research Proceedings, Vol. 49, pp 207-216, 2025
DOI: https://doi.org/10.21741/9781644903438-21
The article was published as article 21 of the book Mechanical Engineering for Sustainable Development
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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