The most important factor affecting efficiency and ergonomic risk levels in an assembly line design is the problem of assigning certain tasks to certain stations, namely the assembly line balancing problem. In the literature, assembly line balancing problem has often been studied, but studies that consider ergonomic risks are deficient. Recently, it has been one of the issues that have started to attract great attention with the realization of health problems caused by assembly lines. To this end, in this study, a bi-objective mathematical model is developed that considers balancing assembly line station time and ergonomic risk levels, simultaneously. It is aimed to minimize both station time and the total deviations of ergonomic risk scores for the stations. Weighted sum and conic scalarization methods are applied to solve the bi-objective model. To analyze the outcomes of the developed model, an application is proposed and tested on a real industrial case, at a home appliance assembly line. The deployment of the OMAX method is a contribution to the literature since it shows an analysis tool which evaluates the results of assembly line balancing. This method evaluates the performance of the stations based on different criteria such as station time and ergonomic risk. The number of high-risk stations is obtained as 13 in the single-objective model aiming to minimize the station time, while it is found to be nine in the bi-objective model solved with CSM, without an increase in the total number of stations.

中文翻译：

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具有圆锥标量法的双目标人机工效装配线平衡模型

在装配线设计中影响效率和人机工程学风险水平的最重要因素是将某些任务分配给某些工位的问题，即装配线平衡问题。在文献中，流水线平衡问题经常被研究，但考虑到人体工程学风险的研究是不足的。近来，随着流水线引起的健康问题的认识，它已成为开始引起人们高度关注的问题之一。为此，在本研究中，开发了一个双目标数学模型，该模型同时考虑了平衡装配线工位时间和人体工程学风险水平。它旨在最大限度地减少站点时间和站点的人体工程学风险评分的总偏差。采用加权和和圆锥标量法求解双目标模型。为了分析开发模型的结果，提出了一个应用程序，并在家电装配线上的真实工业案例中进行了测试。OMAX 方法的部署是对文献的贡献，因为它展示了一种评估装配线平衡结果的分析工具。该方法根据站点时间和人体工程学风险等不同标准评估站点的性能。在以最小化站点时间为目标的单目标模型中，高风险站点的数量为 13，而在使用 CSM 求解的双目标模型中发现为 9，站点总数没有增加. OMAX 方法的部署是对文献的贡献，因为它展示了一种评估装配线平衡结果的分析工具。该方法根据站点时间和人体工程学风险等不同标准评估站点的性能。在以最小化站点时间为目标的单目标模型中，高风险站点的数量为 13，而在使用 CSM 求解的双目标模型中发现为 9，站点总数没有增加. OMAX 方法的部署是对文献的贡献，因为它展示了一种评估装配线平衡结果的分析工具。该方法根据站点时间和人体工程学风险等不同标准评估站点的性能。在以最小化站点时间为目标的单目标模型中，高风险站点的数量为 13，而在使用 CSM 求解的双目标模型中发现为 9，站点总数没有增加.