The optimization of man–machine systems is a critical component in the research and development of products but it has been a struggle to improve the optimization accuracy. This study presents an ergonomic optimization method driven by a posture load regulatory network (PLRN). Considering that the differences in work-related musculoskeletal disorders are caused by different occupations, human body part data collection is completed using the deconstructions of man–machine task sequences, which applies in partial theory of the complex network to build the PLRN model. Then the approach connects the human body part data with the regulatory network to calculate the cumulative load tendency and the performance of the load group; results of the analysis provide support for the ranking of human body part loads. In addition, we derive the mapping relationship between the man–machine workload and product engineering modules based on the quality function deployment theory, which can reflect the man–machine system problems of products and assist designers in optimizing and making decisions in man–machine systems. To this end, this paper provides a case study research for evaluating the feasibility of the PLRN simulation optimization method. Results show that our method is capable of explaining the change and the predicting the tendency of human load during the man–machine operation. Compared with the traditional subjective analytic hierarchy process, the PLRN simulation optimization method provides more accurate and objective evaluation on product ergonomics, and new research opportunities on ergonomic optimization.

中文翻译：

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一种姿态载荷调节网络驱动的人体工程学仿真优化方法的构建与应用

人机系统的优化是产品研发的关键组成部分，但一直在努力提高优化精度。本研究提出了一种由姿势负荷调节网络 (PLRN) 驱动的人体工程学优化方法。考虑到工作相关肌肉骨骼疾病的差异是由不同职业引起的，采用人机任务序列解构完成人体部位数据采集，应用复杂网络的局部理论构建PLRN模型。然后该方法将人体部位数据与调节网络连接起来，计算累积负荷趋势和负荷组的性能；分析结果为人体局部负荷排序提供支持。此外，我们基于质量功能展开理论推导出人机工作量与产品工程模块的映射关系，可以反映产品的人机系统问题，辅助设计人员在人机系统中进行优化和决策。为此，本文提供了一个案例研究，以评估PLRN仿真优化方法的可行性。结果表明，我们的方法能够解释人机操作过程中人体负荷的变化和预测趋势。与传统的主观层次分析法相比，PLRN仿真优化方法提供了更准确客观的产品人体工程学评价，为人体工程学优化提供了新的研究机会。