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Optimal process targeting for multi-inputs, multi-stages and multi-characteristics production systems

机译:针对多输入,多阶段和多特征生产系统的最佳过程目标

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摘要

In this paper, a process targeting model is developed for multi-stages, multi-inputs and multi-characteristics production systems. The model extends a previous single stage, multi-inputs and multi-characteristics production system to an n-stage flow line. Recursion and augmented matrix approaches were used to formulate the n-stage model. The optimal process targeting solution is based on minimising a Taguchi-type quadratic loss function across all production stages. A constrained version of the problem is considered in order to cover a wider class of real life industrial applications. The model is very useful especially for mixing-based processes, batch processes, and other multi-stage and multi-characteristic production processes. Finally, an illustrative example is provided.
机译:在本文中,为多阶段,多输入和多特征的生产系统开发了一个过程目标模型。该模型将以前的单阶段,多输入和多特征的生产系统扩展到n级流水线。递归和增强矩阵方法被用来制定n阶段模型。最佳的工艺目标解决方案基于最小化所有生产阶段的Taguchi型二次损失函数。为了涵盖更广泛的现实生活工业应用,考虑了该问题的受约束版本。该模型对于基于混合的过程,批处理过程以及其他多阶段和多特征的生产过程特别有用。最后,提供了说明性示例。

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