The prevention of musculoskeletal disorders (MSD) is very important in the world. Governments and companies are the most interested. The objective of the present work is to review the literature on the applications of the OWAS method in the diverse sectors or fields of knowledge and countries from its publication to March 2017. The use of OWAS method has been classified by categories of knowled...

This study aims to compare 3 observational techniques for assessing postural load, namely, OWAS, RULA, and REBA. The comparison was based on the evaluation results generated by the classification techniques using 301 working postures. All postures were sampled from the iron and steel, electronics, automotive, and chemical industries, and a general hospital. While only about 21% of the 301 postu...

Postural Analysis of Four Jobs on Two Building Construction Sites: an Experience of Using the OWAS Method in Taiwan: Kai Way LI, et al. Department of Industrial Management, ChungHua University—Ovako Working Postures Analysing System (OWAS) is a widely used method for studying awkward working postures in workplaces. This study with OWAS, analyzed 2,880 working postures for form, scaffold, iron, ...

This study used OWAS to analyze the working postures of construction workers on building the foundations of a log cabin. Three construction workers, with an average work experience of 40 years, participated in this study. Eight elementary jobs of building the foundations of a log cabin were videotaped at a construction site and analyzed later in the laboratory. For an overall distribution of tr...

introduction: ovako working posture analyzing system (owas) is a method for evaluating postural load during work. the owas method is based on a simple and systematic classification of work postures combined with observations of work tasks. the aim of this study was the assessment of various postures during the work in iron and steel industry, navard ahwas, using owas method. materials and metho...

A preliminary survey showed that oyster mushroom farmers in Lempake Samarinda experienced pain several body segments, especially at their waist. It may be attributable to the working condition requires non-ergonomic postures such as frequent awkward posture sitting or standing position. Therefore, this paper aims assess farmers. Ovako Working Posture Analysis System (OWAS) method was applied me...