Affiliations: Department of Industrial and Manufacturing Systems Engineering, Louisiana State University, Baton Rouge, LA, USA.
Correspondence:
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Corresponding author: Fereydoun Aghazadeh, Department of Industrial and Manufacturing Systems Engineering, Louisiana State University, Baton Rouge, LA 70803, USA.
Abstract: Regression models were developed to predict the maximum acceptable weight of lift (MAWL) for Indonesian population based on anthropometric and job related variables. Job related variables including lifting frequency, lifting height, and vertical distance of lift and 16 anthropometric variables were used in this study. A comparison between the MAWL obtained from this study, NIOSH RWL and the predicted MAWL of U.S. workers were conducted. RWL were much lower than the MAWL for both Indonesian and U.S. workers. Also, the Indonesian workers had higher MAWL compared to the U.S. population.
Keywords: Lifting load, anthropometry, Indonesian workers, job-related variables
