SELECTING WELDING SAFETY GOGGLES BY MULTI-CRITERIA DECISION-MAKING APPROACHES— A COMPREHENSIVE EVALUATION

Department Of Mechanical Engineering, Vel Tech Rangarajan Dr, Sagunthala R&D Institute Of Science And Technology ,Kanak Kalita,R Balaji,Department Of Mechanical Engineering, Vel Tech Rangarajan Dr, Sagunthala R&D Institute Of Science And Technology ,Lenka Cepova,Department Of Machining, Assembly And Engineering Metrology, Faculty Of Mechanical Engineering, Vsb-Technical University Of Ostrava ,S P Samal,Department Of Biosciences, Saveetha School Of Engineering, Saveetha Institute Of Medical And Technical Sciences ,Pradeep Jangir,University Centre For Research And Development, Chandigarh University

doi:10.17973/mmsj.2024_12_2024130

SELECTING WELDING SAFETY GOGGLES BY MULTI-CRITERIA DECISION-MAKING APPROACHES— A COMPREHENSIVE EVALUATION

Department Of Mechanical Engineering, Vel Tech Rangarajan Dr, Sagunthala R&D Institute Of Science And Technology , Kanak Kalita + Show 8 more

https://doi.org/10.17973/mmsj.2024_12_2024130

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Journal: MM Science Journal

Publication Date: Dec 11, 2024

#Entropy Weight Methods #Multiple Criteria + Show 8 more

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Abstract

This paper presents a comprehensive application of the Multi-Criteria Decision-Making (MCDM) approach to evaluate and rank different models of welding goggles. The study uses both the Mean Weight and Entropy Weight methods in conjunction with five different MCDM techniques—TOPSIS, CODAS, COPRAS, SAW, and MOORA. These methods provide an insightful comparison and robust ranking of various goggle models. The analysis consistently highlighted 'ArcOne The Fly Safety Goggles' and '3M Speedglas 100 Series' as superior performers across multiple criteria.

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