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首页> 外文会议>New aspects of applied informatics, biomedical electronics amp; informatics and communications >Using Grey Theory in Inverse QFD to Analyse Product Reuse Satisfaction for Reverse Logistics
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Using Grey Theory in Inverse QFD to Analyse Product Reuse Satisfaction for Reverse Logistics

机译：在逆向QFD中使用灰色理论分析逆向物流的产品重用满意度

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In this paper, we proposed a framework of using grey theory in inverse process of QFD (quality function deployment) to analyse product reuse satisfaction based upon customer data for reverse logistics. The product reuse satisfaction of customer is a critical issue for reverse logistics, because the level of product reuse satisfaction is a key evaluation index for determining the value of reuse. On the other hand, grey theory from large database has been successfully applied in a number of advanced fields. However, little study has been done in the inverse QFD of identifying product reuse satisfaction by using grey theory. This study attempts to identify product reuse satisfaction from customer questionnaire database using a grey theory cycle for inverse QFD. We first defined the problem and constructed a customer questionnaire dataset. Second, prepared and analyzed data. Third, we used the grey theory cycle to predict the weights and determine the customer satisfaction level for inverse QFD. The results of this study can provide an effective procedure of identifying the level of product reuse satisfaction and enhance reverse logistics management in both business and customers.
机译：在本文中，我们提出了一个在QFD逆过程中使用灰色理论的框架，以基于客户数据的产品再利用满意度进行逆向物流分析。客户的产品重用满意度是逆向物流的关键问题，因为产品重用满意度的水平是确定重用价值的关键评估指标。另一方面，大型数据库的灰色理论已成功应用于许多高级领域。但是，在反向QFD中使用灰色理论来确定产品重用满意度的研究很少。这项研究试图使用灰色理论循环的逆QFD从客户调查表数据库中识别产品再利用满意度。我们首先定义问题并构建了客户调查表数据集。其次，准备和分析数据。第三，我们使用灰色理论循环来预测权重并确定反QFD的客户满意度水平。这项研究的结果可以为确定产品重用满意度的水平提供有效的程序，并增强企业和客户的逆向物流管理。

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