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Ergonomic Risk Factor Priority Evaluation of Hand Fabric Painters based on Hybrid ISM– Spherical Fuzzy DEMATEL Approach


Affiliations
1 Ramdeobaba University, Nagpur, Maharashtra 440 013, India
2 School of Engineering and Technology, Sandip University, Nashik 422 213, India

This study addresses the imperative need to mitigate ergonomic risks faced by hand painting workers, who are highly susceptible to musculoskeletal disorders (MSDs) due to the complexity of their tasks. The research employs an innovative methodology combining Interpretive Structural Modeling (ISM) and Spherical Fuzzy Decision-making trial and error laboratory (SF-DEMATEL) techniques to thoroughly examine contributing factors. Additionally, Matrice d'ImpactsCroisés Multiplication Appliquée à un Classement (MICMAC) analysis is performed to categorize these factors, and sensitivity analysis is carried out to ensure the robustness of the results. Through this unique approach, the study identifies eleven critical ergonomic risk factors affecting MSDs, emphasizing the importance of task design, worker posture, workstation design, and task sequencing in mitigating risks. The findings highlight the necessity of holistic approaches in addressing ergonomic challenges, promoting proactive measures for safer work environments. By integrating ISM and Spherical Fuzzy DEMATEL methodologies, the research offers a novel framework for targeted interventions. The study's novelty lies in its comprehensive understanding of ergonomic risks specific to hand painting work and its innovative methodology, with the validation of findings through rank comparison and sensitivity analysis reaffirming the robustness and credibility of its contributions to the field of ergonomics.

Keywords

Decision, Ergonomic risks, MCDM, Musculoskeletal disorders, Sensitivity analysis
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  • Ergonomic Risk Factor Priority Evaluation of Hand Fabric Painters based on Hybrid ISM– Spherical Fuzzy DEMATEL Approach

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Authors

Mangesh Joshi
Ramdeobaba University, Nagpur, Maharashtra 440 013, India
Amit Adhaye
School of Engineering and Technology, Sandip University, Nashik 422 213, India

Abstract


This study addresses the imperative need to mitigate ergonomic risks faced by hand painting workers, who are highly susceptible to musculoskeletal disorders (MSDs) due to the complexity of their tasks. The research employs an innovative methodology combining Interpretive Structural Modeling (ISM) and Spherical Fuzzy Decision-making trial and error laboratory (SF-DEMATEL) techniques to thoroughly examine contributing factors. Additionally, Matrice d'ImpactsCroisés Multiplication Appliquée à un Classement (MICMAC) analysis is performed to categorize these factors, and sensitivity analysis is carried out to ensure the robustness of the results. Through this unique approach, the study identifies eleven critical ergonomic risk factors affecting MSDs, emphasizing the importance of task design, worker posture, workstation design, and task sequencing in mitigating risks. The findings highlight the necessity of holistic approaches in addressing ergonomic challenges, promoting proactive measures for safer work environments. By integrating ISM and Spherical Fuzzy DEMATEL methodologies, the research offers a novel framework for targeted interventions. The study's novelty lies in its comprehensive understanding of ergonomic risks specific to hand painting work and its innovative methodology, with the validation of findings through rank comparison and sensitivity analysis reaffirming the robustness and credibility of its contributions to the field of ergonomics.

Keywords


Decision, Ergonomic risks, MCDM, Musculoskeletal disorders, Sensitivity analysis