Identification of Product Redesign Modules Based on
 Fuzzy Random Failure Mode and Effects Analysis

Expand
  •  School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Online published: 2017-10-31

Supported by

 

Abstract

 Redesign is a work for improving a new product after it has been used a period. Identification of the redesign modules is the precondition. The existing identification methods mainly focus on customer demands, without considering product failure data. Therefore, a new identification method is proposed using fuzzy random FMEA. A redesign necessity index is defined to evaluate the design risk of product modules. Considering the randomness and fuzziness of the risk judgment, a fuzzy random FMEA model is constructed to measure the relationship between the failure modes and the product modules. Besides, credibility theory and fuzzy stochastic simulation technique are employed to deal with the multi valued problem of fuzzy variables and random variables. Finally, the feasibility and effectiveness of the proposed method is verified by the identification and verification of the crawler crane.

Cite this article

ZHOU Penghui,MA Hongzhan,CHEN Dongping,CHEN Mengyue,CHU Xuening .  Identification of Product Redesign Modules Based on
 Fuzzy Random Failure Mode and Effects Analysis[J]. Journal of Shanghai Jiaotong University, 2017
, 51(10) : 1189 -1195 . DOI: 10.16183/j.cnki.jsjtu.2017.10.006

References

 [1]李良. 工程机械产品识别设计策略研究[D].长沙: 湖南大学设计艺术学院, 2013.
[2]黄风立. 基于顾客满意度的产品方案再设计研究[D]. 杭州: 浙江工业大学科学院, 2005.
[3]SMITH S, SMITH G, SHEN Y, Redesign for product innovation[J]. Design Studies, 2012, 33(2): 160184.
[4]杨涛, 杨育, 薛承梦, 等. 考虑客户需求偏好的产品创新设计方案多属性决策评价[J]. 计算机集成制造系统, 2015, 21(2): 417426.
YANG Tao, YANG Yu, XUE Chengmeng, et al. Multiattribute decisionmaking evaluation method for product innovation design scheme with demand preferences of customers[J]. Computer Integrated Manufacturing Systems, 2015, 21(2): 417426.
[5]徐芳平. 基于在线评论的产品再设计需求研究[D].大连: 大连理工大学科学院, 2012.
[6]XU K , TANG L C , XIE M , et al. Fuzzy assessment of FMEA for engine systems[J]. Reliability Engineering and System Safety, 2002, 75(1): 1729.
[7]BOWLES J B, PELAEZ C E. Fuzzy logic prioritization of failures in a system failure modes effects and criticality analysis[J].Reliability Engineering System Safety, 1995, 50(2): 203213.
[8]KAI M T, LIM C P. Fuzzy FMEA with a guided rules reduction system for prioritization of failures [J]. International Journal of Quality & Reliability Management, 2006, 23(8): 10471066.
[9]门峰. 模糊集理论与灰色关联理论的FMEA方法[J]. 工业工程, 2008, 11(4): 109112.
MEN Feng. FMEA method based upon fuzzy set theory and grey relational theory[J]. Industrial Engineering Journal, 2008, 11(4): 109112.
[10]ZHANG Zaifang, CHU Xuening. Risk prioritization in failure mode and effects analysis under uncertainty[J]. Expert Systems with Applications, 2011, 38(1): 206214.
[11]LIU B, LIU Y. Expected value of fuzzy variable and fuzzy expected value models[J]. IEEE Transactions on Fuzzy Systems, 2002, 10(4): 445450.
[12]凌丹. 威布尔分布模型及其在机械可靠性中的应用研究[D].成都: 电子科技大学科学院, 2011.
Options
Outlines

/