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首页> 外文期刊>MTT: Manufacturing Technology Today >DEVELOPMENT OF A MATHEMATICAL MODEL TO PREDICT THE TASK TIME AND PARAMETERS OPTIMIZATION FOR ERGONOMICALLY DESIGNED SETUP USING STATISTICAL DESIGN OF EXPERIMENTS
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DEVELOPMENT OF A MATHEMATICAL MODEL TO PREDICT THE TASK TIME AND PARAMETERS OPTIMIZATION FOR ERGONOMICALLY DESIGNED SETUP USING STATISTICAL DESIGN OF EXPERIMENTS

机译：使用实验统计设计预测数学模型以预测符合人体工程学设计的任务时间和参数优化

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摘要

An important part of many quality improvement and quality development programs is an evaluation of the effect of process variables upon performance. The product quality is depending on number of independent factors. Their effects on dependent factors are evaluated through empirical investigation. In practice, a small number of controllable variables contribute to a vital share of the effect of the product quality. These variables do not necessarily produce a constant effect on the product. The question would therefore arise as to how efficiently and economically the contribution of each of these factors can be assessed individually and also collectively to produce the total effect on the product performance. An approach that fulfills these requirements is available in the statistically designed experiments. The statistically designed experiment permits simultaneous consideration of all the possible factors that are suspected to have a bearing on the problem under consideration. Even a limited number of experiments would enable experimenter to uncover the vital factors on which further trails would lead the researcher to track down their most desirable combination which will yield the expected results. Scanning a large number of variables is one of the objectives that a statistically designed experiment would fulfill in many problem situations. The purpose of this study is to develop a mathematical model to predict the task time taken by the operator to assemble the needle and thread by varying the working environmental conditions like temperature, light and noise. The adequacies of the model are then evaluated using MINITAB statistical software and analysis of variance (ANOVA) technique. The model developed is checked for its adequacy. Results of confirmation experiments showed that the model can predict the optimum task time with reasonable accuracy.
机译：许多质量改善和质量发展计划的重要组成部分是评估过程变量在性能时的影响。产品质量取决于独立因素的数量。它们对依赖因素的影响通过经验调查来评估。在实践中，少数可控变量有助于产品质量效果的重要份额。这些变量不一定会对产品产生恒定影响。因此，这些问题将有效和经济地进行如何单独评估每种因素的贡献，也可以集体评估，以产生对产品性能的总影响。在统计学设计的实验中提供了一种满足这些要求的方法。统计学设计的实验允许同时考虑所谓的可能因素，这些因素是在考虑的问题上具有轴承的情况。即使是有限数量的实验也能使实验者揭示进一步踪迹的重要因素将导致研究人员追踪其最理想的组合，这将产生预期的结果。扫描大量变量是统计设计的实验将在许多问题情况下实现的目标之一。本研究的目的是开发一种数学模型以预测操作者通过改变温度，光和噪声等工作环境条件来组装针和螺纹的任务时间。然后使用Minitab统计软件和方差分析（ANOVA）技术来评估模型的适当性。开发的模型被检查了它的充分性。确认实验结果表明，该模型可以以合理的准确性预测最佳任务时间。

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