Background: In Bangladesh, workers typically spend at least eight hours a day at garment factories in sitting and/or standing position. Prolonged sitting on ergonomically unfit furniture causes back, neck, and shoulder pain, which reduces the working efficiency and leading to low productivity.
Objective: The aim of this study is to design ergonomically correct furniture for Bangladeshi garment workers considering multivariate analysis on the anthropometric data.
Methods: Twelve anthropometric measures and five furniture dimensions were measured. The sample comprised of 600 volunteer workers from different garment industry. The furniture dimensions were compared with the relevant anthropometric characteristics and found a high level of mismatch (e.g. seat height (male 18%, female 94.25%), seat depth (male 96%, female 63.50%), seat width (male 9.50%, female 36.25%), sewing table height (male 56.50%, female 50%), and desk height for inspection, cutting and ironing table (male 100%, female 100%).
Results: New design specifications were proposed of the worker which improved the match percentage. The multivariate anthropometric analysis generated 8 cases and for each case the ranges of anthropometric measurements have been identified.
Conclusion: The results will help to design robust ergonomic garments furniture.
Keywords: Ergonomics; anthropometry; bangladeshi workers; garments furniture; mismatch; multivariate anthropometric analysis.