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首页> 外文期刊>Journal of Zhejiang University. Science, A >Applying process analytical technology framework to optimize multiple responses in wastewater treatment process
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Applying process analytical technology framework to optimize multiple responses in wastewater treatment process

机译：应用过程分析技术框架优化废水处理过程中多重响应

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In this research, the process analytical technology (PAT) framework is used to optimize the performance of the wastewater treatment process in poultry industry. Two responses, turbidity and sludge volume index (SVI), are of main manufacturer’s interest. Initially, the moving average (MA) and moving range (MR) control charts are established for each response. The 33 full factorial design with two replicates is then used for conducting experimental work. The weighted additive model in fuzzy goal programming is formulated, and then employed to determine the combination of optimal factor settings. Finally, confirmation experiments follow at the combination of optimal factor settings. The results show that the actual process index for turbidity is improved from 1.34 to 5.5, while it is enhanced from 1.46 to 1.93 for SVI. Moreover, the multiple process capability index is improved significantly from 1.95 to 10.6, which also indicates that the treatment process becomes highly capable with both responses concurrently. Further, the process standard deviations at initial (optimal) factor settings are 2.16 (1.27) and 6.02 (3.39) for turbidity and SVI, respectively. These values show significant variability reductions in turbidity and SVI by 41.22% and 77.75%, respectively. Such improvements will lead to huge savings in quality and productivity costs. In conclusion, the PAT framework is found to be an effective approach for optimizing the performance of the wastewater treatment process with multiple responses.
机译：在本研究中，该过程分析技术（PAT）框架用于优化家禽业中废水处理过程的性能。两个反应，浊度和污泥卷指数（SVI）是主要的制造商的兴趣。最初，为每个响应建立移动平均（MA）和移动范围（MR）控制图。然后使用两个复制的33个完整的因子设计来进行实验工作。制定模糊目标编程中的加权附加模型，然后用于确定最佳因子设置的组合。最后，确认实验遵循最佳因子设置的组合。结果表明，浊度的实际工艺指标从1.34增加到5.5，而SVI的1.46至1.93增强。此外，多个过程能力指数从1.95到10.6显着提高，这也表明治疗过程同时具有两个反应的能力。此外，初始（最佳）因子设置的过程标准偏差分别为2.16（1.27）和6.02（3.39），用于浊度和SVI。这些值分别显示出浊度和SVI的显着可变性降低41.22％和77.75％。这种改进将导致质量和生产率的巨大节省。总之，帕特框架被认为是优化污水处理过程的性能的有效方法，具有多重反应。

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