Lavatelli Ivan, Schaub Karlheinz, Caragnano Gabriele
Technical Committee Coordinator, AMI - Associazione MTM Italia, via G Rossa Malnate, VA, Italy.
Work. 2012;41 Suppl 1:4436-44. doi: 10.3233/WOR-2012-0743-4436.
Upper limbs repetitive tasks are one of the main sources of risk for the workers of the manufacturing industries and the standards ISO 11228-3 and EN 1005-5 addressed this issue since 2007. EAWS (European Assembly Worksheet) is a 1st level ergonomic risk assessment method and it provides in its 4th section a score to measure the load level for the upper limbs based on a traffic light scheme. According to the relevant ISO/CEN standards, the OCRA Index is the preferred system to refer to in the evaluation of the biomechanical stress of hand-harm-shoulder system. This correlation study is based on a 45 workstations sample coming from the automobile manufacturing industry. According to the results, EAWS4 shows an excellent correlation with OCRA index (Spearman's rho correlation index 0.95). Being EAWS based on biometric statistical data distribution, its typical application is the process design phase, but adopting a conservative approach in the interpretation of EAWS4 score for risk mapping purposes, it provides an equivalent "reaction" pattern (countermeasures to be taken in the production phase) with respect of OCRA Index with an Odds Ratio ranging from 0.89 (OR-matched) to 1.00 (OR-conservative).
上肢重复性任务是制造业工人面临的主要风险源之一，自2007年以来，ISO 11228-3和EN 1005-5标准已解决了这一问题。EAWS（欧洲装配工作表）是一种一级人体工程学风险评估方法，它在第四部分根据交通信号灯方案提供一个分数来衡量上肢的负荷水平。根据相关的ISO/CEN标准，OCRA指数是评估手部-手臂-肩部系统生物力学应力时首选的参考系统。这项相关性研究基于来自汽车制造业的45个工作站样本。结果显示，EAWS4与OCRA指数具有极好的相关性（斯皮尔曼等级相关系数为0.95）。由于EAWS基于生物特征统计数据分布，其典型应用是在工艺设计阶段，但在为风险映射目的解释EAWS4分数时采用保守方法，它提供了与OCRA指数等效的“反应”模式（生产阶段应采取的对策），优势比范围从0.89（OR匹配）到1.00（OR保守）。
