Applying deep fryer and spinner experiments for optimization multiresponse water content and fat content of oyster mushroom chips using Taguchi and PCR-TOPSIS methods

机译：使用Taguchi和PCR-Topsis方法应用深肉体和旋转器实验进行优化多态水含量和牡蛎蘑菇芯片的脂肪含量

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Experiments the deep fryer and the spinner for productipn the oyster mushroom chips was needed to optimize the setting level optimally. The purpose of this experiment was to obtain the oyster mushroom chips with water content, and fat content optimized simultaneously. These experiment used the Taguchi and the PCR-TOPSIS method. Improved the quality of products and processes as well as in reduced the cost and resources to a minimum by Taguchi Method. The ability of a process to meet design specifications set by PCR method. The optimal combination multiresponse obtained by Technique for Order Performance by Similarity to Ideal Solution (TOPSIS). The target both of this experiment response were smaller the better. Based on the result of multiresponse experiment analysis, optimal setting of this conditions was the combination of a factor of the type of flour at 80% rice flour and tapioca flour 20%, the factor of frying temperature at 150-160°C, and the factor of time for the draining process in 1 minute.

机译：实验Deep Fryer和ProductIpn的旋转器oyster蘑菇芯片需要最佳地优化设置水平。该实验的目的是获得具有含水量的牡蛎蘑菇芯片，同时优化脂肪含量。这些实验使用了Taguchi和PCR-Topsis方法。通过Taguchi方法改善了产品和流程的质量，以及将成本和资源降至最低。一个过程满足PCR方法设置的设计规范的能力。通过与理想解决方案（TOPSIS）相似性的顺序性能获得的最佳组合多通信。这个实验反应的目标均越大越好。基于多态试验分析的结果，这种情况的最佳设置是面粉类型在80％米粉和木薯粉中的粉末类型的组合20％，煎炸温度为150-160°C，和在1分钟内排出过程的时间因数。

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《International Conference of Industrial, Mechanical, Electrical and Chemical Engineering》|2016年|1 v.|共4页
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Retno Wulan Damayanti; Rizqy Widhianggitasari; Pringgo Widyo Laksono; Taufiq Rocman;
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中图分类生物化学;
关键词
Fats; Signal to noise ratio; Temperature; Optimization; Standards; Chemical engineering;

机译：脂肪;信噪比;温度;优化;标准;化学工程;

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4. Applying deep fryer and spinner experiments for optimization multiresponse water content and fat content of oyster mushroom chips using Taguchi and PCR-TOPSIS methods [C] . Retno Wulan Damayanti, Rizqy Widhianggitasari, Pringgo Widyo Laksono, 2016 2nd International Conference of Industrial, Mechanical, Electrical and Chemical Engineering . 2016

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5. Modeling and Multiresponse Optimization for Anaerobic Codigestion of Oil Refinery Wastewater and Chicken Manure by Using Artificial Neural Network and the Taguchi Method [O] . Esmaeil Mehryar, Weimin Ding, Abbas Hemmat, 2006

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Applying deep fryer and spinner experiments for optimization multiresponse water content and fat content of oyster mushroom chips using Taguchi and PCR-TOPSIS methods

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