The purpose of this study was to explore and assess manual material handling problems involving bi-manual lifting tasks. Eleven young male Chinese subjects were recruited to participate in the bi-manual lifting task. The psychophysical approach was used to investigate the effect of different standing heights (2cm, 4cm, 6cm, 8cm, 10cm, 12cm and 14cm) and the different lifting frequencies (1 lift/min and 4 lifts/min) on maximum acceptable weight of lifting (MAWL), heart rate (HR), and rating of perceived exertion (RPE) for a 1 hour work period. The results showed that the MAWL was not significantly affected by different standing heights. The mean HR values were significantly influenced by the different standing heights (p<0.05). However, the subjects' MAWL and HR values were significantly influenced by lifting frequency (P<0.01). Some of the RPE values of the body segments were rated significantly different. Finally, based on the aforementioned results, the study developed prediction models for bi-manual lifting weight and lifting performance. The second model, using the sum of the individual lifting weight (C3) and the sum of the individual one time maximum weight(MT) is best (R^2=0.58, R^2(subscript adj)=0.55, PRESS=1495.62).
The purpose of this study was to explore and assess manual material handling problems involving bi-manual lifting tasks. Eleven young male Chinese subjects were recruited to participate in the bi-manual lifting task. The psychophysical approach was used to investigate the effect of different standing heights (2cm, 4cm, 6cm, 8cm, 10cm, 12cm and 14cm) and the different lifting frequencies (1 lift/min and 4 lifts/min) on maximum acceptable weight of lifting (MAWL), heart rate (HR), and rating of perceived exertion (RPE) for a 1 hour work period. The results showed that the MAWL was not significantly affected by different standing heights. The mean HR values were significantly influenced by the different standing heights (p<0.05). However, the subjects' MAWL and HR values were significantly influenced by lifting frequency (P<0.01). Some of the RPE values of the body segments were rated significantly different. Finally, based on the aforementioned results, the study developed prediction models for bi-manual lifting weight and lifting performance. The second model, using the sum of the individual lifting weight (C3) and the sum of the individual one time maximum weight(MT) is best (R^2=0.58, R^2(subscript adj)=0.55, PRESS=1495.62).