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THE EFFECT OF ASSEMBLY INSTRUCTIONS AND PART ORGANIZATION ON ASSEMBLY TIME AND PROCESS VARIATION

机译:装配说明和零件组织对组装时间和过程变化的影响

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In mass production, planning for customized products is difficult to achieve against the effort toward standardization of parts and processes. In a complex product such as a vehicle, varying an entire subassembly multiple times per shift increases the margin of error for defects and slows the production rate. To understand the effect of assembly instructions and part organization on assembly time as a result of process variation, this study examines building different subassemblies of two different models to simulate a customized production line. Assembly time is measured while varying the work instructions, part organization, and subassembly type, and relationships among these variables drawn. Picture instructions result in shorter assembly times for all subassemblies, while line configurations for shape and color part organization have the shortest assembly times. However, only picture instructions for two out of four subassemblies show a statistically significant effect on lowering assembly time characterized by a p-value below 0.1. Based on a linear model, total product assembly time is predicted within a 20% margin of error, based on which subassemblies are built and instructions used. Based on these preliminary tests, a better experimental plan is needed to isolate test variables for model creation. In addition, more experimental data is required to improve the statistical significance of the results. A heavier emphasis should be placed on the cognitive factors of the assembler in assembly production planning.
机译:在批量生产中,规划定制产品难以实现零件和流程标准化的努力。在诸如车辆的复杂产品中,每个偏移多次改变整个子组件,增加了缺陷的误差余量并减慢了生产率。为了了解程序变化的结果,了解程序集合指令和零件组织对组织的汇编时间,这项研究审查了两种不同模型的不同子组件来模拟定制生产线。在改变工作指令,零件组织和子组件类型的同时测量汇编时间,以及绘制这些变量之间的关系。图片指令导致所有子组件的装配时间较短,而形状和颜色部件组织的线路配置具有最短的装配次。然而,只有四个子组件中有两个的图片指令对降低组装时间的统计学显着影响,其特征在于0.1以下的p值。基于线性模型,总产品组装时间在20%的误差范围内预测,基于构建的子组件以及使用的指令。基于这些初步测试,需要更好的实验计划来隔离模型创建的测试变量。此外,需要更多的实验数据来提高结果的统计学意义。较重的重点应该放在装配生产计划中汇编器的认知因素。

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