Coping with Group Behaviors in Uncertain Quality Function Deployment
Coping with Group Behaviors in Uncertain Quality Function Deployment
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DOI：
10.1111/deci.12104
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发表时间：
2014-12
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影响因子：
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通讯作者：
Hongbin Yan;Tieju Ma;V. Huynh
中科院分区：
文献类型：
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作者：
Hongbin Yan;Tieju Ma;V. Huynh
质量功能部署 (QFD) 是一种规划和解决问题的工具，因将客户需求 (CN) 转化为产品的技术属性 (TA) 而获得广泛认可。在 QFD 中从 CN 导出 TA 的优先级是至关重要的一步。然而，由于人类主观感知和用户可变性两种不确定性，确定 TA 的优先级并不是那么简单。本文的主要重点是提出一种针对不确定 QFD 的群体决策方法，并将其应用于柔性制造系统设计。所提出的方法仅基于语言标签的基于顺序的语义进行计算，以消除 QFD 中量化定性概念的负担。此外，它将用户的重要性权重和模糊多数的概念纳入不同TA的个体模糊偏好关系的聚合中，以便对QFD中的群体行为进行建模。最后，基于量化引导的净流量评分程序，该方法得出优先级排序，将TA分类为重要和不重要，从而为决策者提供更好的决策支持。由于阐明优惠信息很容易，我们的方法可以减轻 QFD 规划团队的认知负担，并在 QFD 规划过程中提供实际便利。
Quality function deployment (QFD) is a planning and problem-solving tool gaining wide acceptance for translating customer needs (CNs) into technical attributes (TAs) of a product. It is a crucial step to derive the prioritization of TAs from CNs in QFD. However, it is not so straightforward to prioritize TAs due to two types of uncertainties: human subjective perception and user variability. The main focus of this article is to propose a group decision-making approach to uncertain QFD with an application to a flexible manufacturing system design. The proposed approach performs computations solely based on the order-based semantics of linguistic labels to eliminate the burden of quantifying qualitative concepts in QFD. Moreover, it incorporates the importance weights of users and the concept of fuzzy majority into aggregations of individual fuzzy preference relations of different TAs in order to model the group behaviors in QFD. Finally, based on a quantifier-guided net flow score procedure, the proposed approach derives a priority ranking with a classification of TAs into important and unimportant ones so as to provide a better decision-support to the decision-maker. Due to the easiness in articulating preferential information, our approach can reduce the cognitive burden of QFD planning team and give a practical convenience in the process of QFD planning.