An integrated fuzzy QFD and grey decision-making approach for supply chain collaborative quality design of large complex products
An integrated fuzzy QFD and grey decision-making approach for supply chain collaborative quality design of large complex products
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大型复杂产品供应链协同质量设计的模糊QFD与灰色决策集成方法
DOI：
10.1016/j.cie.2019.106212
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发表时间：
2020-02
影响因子：
7.9
通讯作者：
Liu Sifeng
中科院分区：
文献类型：
--
作者：
Wang Huan;Fang Zhigeng;Wang Daao;Liu Sifeng
结构复杂、技术壁垒高，制造商很难独立设计新产品，因此供应链协同设计盛行。文献中已经讨论了供应链协同设计，并提出了多种有效的方法。然而，系统的协作框架尚未得到解决，信息不确定和数据匮乏的多目标决策仍然是一个研究难点。本文通过集成模糊QFD（质量功能部署）和灰色决策方法，提出了一种新型的大型复杂产品供应链协同质量设计框架。该方法发挥QFD设计部署功能，将设计任务从总体设计到详细设计系统地分解到供应链中的所有参与者。由供应链参与者组成的联合设计团队，可以有效确保所有设计阶段都符合总体设计目标。除了市场竞争力和质量之外，模糊QFD中还开发了多目标评估，使设计方法更加实用。此外，加权多属性灰目标决策方法可以帮助决策者在信息不确定和数据贫乏的情况下识别最优质量方案。所提出的框架应用于中国的新型运载火箭设计，以证明其有效性。讨论了对未来研究的影响和建议。
Complex structure and high technical barriers make it difficult for manufacturers to design new products independently, hence supply chain collaborative design prevails. Supply chain collaborative design has been discussed in the literature and multiple effective methods have been proposed. Nevertheless, the systematic framework for collaboration has been scarcely addressed, and multi-objective decision-making with uncertain information and poor data is still a research difficulty. This paper proposes a novel collaborative quality design framework for large complex products supply chain by integrating the fuzzy QFD (quality function deployment) and the grey decision-making approach. The proposed method exerts QFD design deployment function to decompose design tasks to all participants in the supply chain systematically, from overall design to detailed design. The joint design team composed of supply chain participants, can effectively ensure that all design phases are aligned with the general design objective. In addition to market competitiveness and quality, multi-objective assessments are developed in the fuzzy QFD to make the design method more practical. Moreover, a weighted multi-attribute grey target decision-making method assists decision-makers to identify the optimal quality scheme with uncertain information and poor data. The proposed framework is applied to a new launch vehicle design in China to illustrate its effectiveness. Implications and suggestions for future research are discussed.
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DOI：
10.1016/j.cie.2018.12.041
发表时间：
2019-02
期刊：
Comput. Ind. Eng.
影响因子：
--
作者：
Bo Lv;Xugao Qi
通讯作者：
Bo Lv;Xugao Qi
影响因子：
--
作者：
ZADEH, LA
通讯作者：
ZADEH, LA
基于多粒度语言标签的不完全权重多阶段灰目标决策方法
影响因子：
8.1
作者：
Zhu, Jianjun;Hipel, Keith W.
通讯作者：
Hipel, Keith W.
影响因子：
9
作者：
Xianqiang Ren;Huiming Zhang;Ruohan Hu;Y. Qiu
通讯作者：
Xianqiang Ren;Huiming Zhang;Ruohan Hu;Y. Qiu
影响因子：
11.1
作者：
J. Lam;K. Lai
通讯作者：
J. Lam;K. Lai