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Postural Analysis and Improvement of Laptop Users with Human Factor Engineering in an Academic Environment Using DMAIC Approach

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dc.contributor.author AHMED, HAMZA
dc.date.accessioned 2023-12-19T10:14:45Z
dc.date.available 2023-12-19T10:14:45Z
dc.date.issued 2023
dc.identifier.other 361866
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/41296
dc.description Supervisor : Prof. Dr. Shahid Ikramullah Butt en_US
dc.description.abstract Sudden shift from face-to-face to distance learning during COVID-19 has increased the use of laptops in academic institutes causing an increase in the risk of developing musculoskeletal disorders (MSDs) due to awkward sitting postures. This research article aims to use DMAIC approach to assess the risk of MSDs. A novel Ergo-DMAIC framework has been developed to evaluate the working postures ergonomically using the Nordic Musculoskeletal Disorder Questionnaire (NMDQ), Rapid Upper Limb Assessment (RULA), Rapid Entire Body Assessment (REBA), and HumanCAD®. The NMDQ results revealed that about 90% of the selected population (approximately 500 participants) has symptoms of MSDs. Similarly, the average RULA and REBA scores are 4.4 and 7, respectively, indicating a medium risk level that needs action. RULA and REBA scores are validated using HumanCAD® biomechanical stress analysis. The stress analysis results for both genders give an average stress ratio value greater than 1 for the head, arm, and thorax regions, indicating the danger zone. The thorax is the most affected region, with the highest average stress ratios calculated 8.2 and 10.3 for males and females, respectively. The improved workstation design results indicate a significant stress ratio reduction (i.e., > 50%) by achieving the neutral sitting posture. Furthermore, academicians, practitioners, and researchers may contribute to exploring the applied framework in other working organizations, as this study considered only educational institutes. en_US
dc.language.iso en en_US
dc.publisher School of Mechanical & Manufacturing Engineering (SMME), NUST en_US
dc.relation.ispartofseries SMME-TH-956;
dc.subject Musculoskeletal Disorders, HumanCAD, Rapid Upper Limb Assessment (RULA), Rapid Entire Body Assessment (REBA), DMAIC, Six Sigma en_US
dc.title Postural Analysis and Improvement of Laptop Users with Human Factor Engineering in an Academic Environment Using DMAIC Approach en_US
dc.type Thesis en_US


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