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首页> 外文期刊>International Journal of Production Research >Finding and optimising the key factors for the multiple-response manufacturing process
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Finding and optimising the key factors for the multiple-response manufacturing process

机译:寻找并优化多响应制造过程的关键因素

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With the advent of modern technology, manufacturing processes became so sophisticated that a single quality characteristic cannot reflect the true product quality. Thus, it is essential to perform the key factor analysis for the manufacturing process with multiple-input (factors) and multiple-output (responses). In this paper, an integrated approach of using the desirability function in conjunction with the Mahalanobis-Taguchi-Gram Schmit (MTGS) system is proposed in order to find and optimise the key factors for a multiple-response manufacturing process. The aim of using the MTGS method is to standardise and orthogonalise the multiple responses so that the Mahalanobis distance for each run can be calculated and the multi-normal assumption for the correlated responses can be relaxed. A realistic example of the solder paste stencil printing process is then used to demonstrate the usefulness of our proposed approach in a practical application.
机译:随着现代技术的出现,制造工艺变得如此复杂,以至于单一的质量特征无法反映出真正的产品质量。因此,对于制造过程中具有多输入(因子)和多输出(响应)的关键因素分析至关重要。本文提出了一种将期望函数与Mahalanobis-Taguchi-Gram Schmit(MTGS)系统结合使用的集成方法,以发现和优化多响应制造过程的关键因素。使用MTGS方法的目的是标准化和正交化多个响应,以便可以计算每次运行的马氏距离,并可以放宽相关响应的多正态假设。然后,使用锡膏模版印刷过程的实际示例来证明我们提出的方法在实际应用中的有用性。

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