<p>This paper proposes an integrated multi-criteria-based approach for attaining sustainability goals in welding process selection for proactive measures to achieve sustainability goals to ensure the least possible impact on the environment, cost economics, and worker health while ensuring the longevity of joints through appropriate attributes under each. It then determines attribute/criteria weights based on subjective judgments using the best-worst method (BWM) and as well as using Sample Variance Analogy (SVA) based method to consider objective data-based weights of criteria. Further, Correlation Coefficient (CC) values from objective data are used to adjust the weights as necessary. The MULTIMOORA method with three utility functions and consolidation using BORDA rule is utilized to arrive at the sustainability index of the welding process alternatives and their ranking. In the illustrative application on a case of selecting a welding process for stainless steel grade 316LN, the highest value of combined weight for any single criterion is 0.102 for ultimate tensile strength (UTS) as well as for Job Satisfaction (JS), and it is 0.101 for Microhardness (MH). Overall, Laser Beam Welding emerged as the best choice while meeting sustainability as well as other goals, clearly distinguishing it from the rest of the choices with a sustainability index value of 1.222. Sensitivity analysis of the acquired results has been carried out under four scenarios of weight variations, and variations in alternative sets and ranking results remained robust. The ranking results were also consistent with standard methods like TOPSIS, COPRAS, and PIV.</p>

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Achieving Sustainability Goals Through Process Selection Using A Robust Multi-Criteria Decision-Making Approach

  • Ravindra Singh Saluja,
  • Varinder Singh

摘要

This paper proposes an integrated multi-criteria-based approach for attaining sustainability goals in welding process selection for proactive measures to achieve sustainability goals to ensure the least possible impact on the environment, cost economics, and worker health while ensuring the longevity of joints through appropriate attributes under each. It then determines attribute/criteria weights based on subjective judgments using the best-worst method (BWM) and as well as using Sample Variance Analogy (SVA) based method to consider objective data-based weights of criteria. Further, Correlation Coefficient (CC) values from objective data are used to adjust the weights as necessary. The MULTIMOORA method with three utility functions and consolidation using BORDA rule is utilized to arrive at the sustainability index of the welding process alternatives and their ranking. In the illustrative application on a case of selecting a welding process for stainless steel grade 316LN, the highest value of combined weight for any single criterion is 0.102 for ultimate tensile strength (UTS) as well as for Job Satisfaction (JS), and it is 0.101 for Microhardness (MH). Overall, Laser Beam Welding emerged as the best choice while meeting sustainability as well as other goals, clearly distinguishing it from the rest of the choices with a sustainability index value of 1.222. Sensitivity analysis of the acquired results has been carried out under four scenarios of weight variations, and variations in alternative sets and ranking results remained robust. The ranking results were also consistent with standard methods like TOPSIS, COPRAS, and PIV.