Prioritizing failure risks of components based on information axiom for product redesign considering fuzzy and random uncertainties

被引：1
|
作者：
Liu, Zhenhua [1 ]
Chu, Xuening [1 ]
Ma, Hongzhan [1 ]
Zhang, Mengting [2 ]
机构：
[1] Shanghai Jiao Tong Univ, Sch Mech Engn, DongChuan Rd 800, Shanghai 200240, Peoples R China
[2] China Univ Min & Technol, Sch Mines, Ind Engn, Xuzhou, Jiangsu, Peoples R China
来源：
CONCURRENT ENGINEERING-RESEARCH AND APPLICATIONS | 2021年 / 29卷 / 04期
基金：
中国国家自然科学基金;
关键词：
product redesign; failure risk prioritization; fuzzy uncertainty; random uncertainty; information axiom; DECISION-MAKING APPROACH; COMPLEX PRODUCTS; FMEA;
D O I：
10.1177/1063293X211015999
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The prioritization of the failure risks of the components in an existing product is critical for product redesign decision-making considering various uncertainties. Two issues need to be addressed in the failure risk prioritization process. One is the evaluation of the failure risk considering each failure mode for each component. Currently, many failure mode effects and analysis (FMEA) methods based on fuzzy logic seldom deal with the randomness in failure mode occurrence during the product operation stage. Therefore, in this research, the information axiom is extended to calculate the information contents of risk indices considering these two types of uncertainty. The second issue is the evaluation of the degree of failure risk for each of the components. The weighted sum of information content considering all failure modes is used to assess the risk of components based on a fuzzy logarithmic least squares method (FLLSM). Additionally, a case study to prioritize the failure risks of various components in a crawler crane is implemented to demonstrate the effectiveness of the developed approach.
引用
收藏
页码：356 / 369
页数：14
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