A New Geometric Mean FMEA Method Based on Information Quality

Failure mode and effect analysis (FMEA) is used for risk assessment. The risk priority number (RPN) is the product of the three indicators of severity (S), probability of occurrence (O), and detection (D), which is an important measure to determine the risk priority. A new geometric mean FMEA method based on information quality is presented. First, a fuzzy evaluation distribution form is proposed, which constructs a more flexible and reasonable expression of experts’ opinions in decision-making. Second, a geometric mean method to combine several probability distributions based on information quality is proposed to calculate the RPN. Finally, a numerical case study is illustrated to show the efficiency of the proposed method.

[1]  Hu-Chen Liu,et al.  Failure mode and effects analysis using D numbers and grey relational projection method , 2014, Expert Syst. Appl..

[2]  Fuyuan Xiao,et al.  An Intuitionistic Evidential Method for Weight Determination in FMEA Based on Belief Entropy , 2019, Entropy.

[3]  Yong Deng,et al.  Combination of Evidential Sensor Reports with Distance Function and Belief Entropy in Fault Diagnosis , 2019, Int. J. Comput. Commun. Control.

[4]  Jin Wang,et al.  Modified failure mode and effects analysis using approximate reasoning , 2003, Reliab. Eng. Syst. Saf..

[5]  Hu-Chen Liu,et al.  Improving Risk Evaluation in FMEA With Cloud Model and Hierarchical TOPSIS Method , 2019, IEEE Transactions on Fuzzy Systems.

[6]  Fuyuan Xiao,et al.  A Hybrid Fuzzy Soft Sets Decision Making Method in Medical Diagnosis , 2018, IEEE Access.

[7]  Hossein Safari,et al.  Identifying and evaluating enterprise architecture risks using FMEA and fuzzy VIKOR , 2014, Journal of Intelligent Manufacturing.

[8]  Yong Deng,et al.  The Negation of Basic Probability Assignment , 2019, IEEE Access.

[9]  T. Sari,et al.  Risk management in automotive manufacturing process based on FMEA and grey relational analysis: A case study , 2018 .

[10]  Chunhe Xie,et al.  A New Interval Numbers Power Average Operator in Multiple Attribute Decision Making , 2017, Int. J. Intell. Syst..

[11]  Mustafa Jahangoshai Rezaee,et al.  Risk measurement and prioritization of auto parts manufacturing processes based on process failure analysis, interval data envelopment analysis and grey relational analysis , 2018, J. Intell. Manuf..

[12]  Hu-Chen Liu,et al.  Failure Mode and Effect Analysis Using Cloud Model Theory and PROMETHEE Method , 2017, IEEE Transactions on Reliability.

[13]  Florin Gheorghe Filip,et al.  Fuzzy Logic Is Not Fuzzy: World-renowned Computer Scientist Lotfi A. Zadeh , 2017, Int. J. Comput. Commun. Control.

[14]  Antonella Certa,et al.  A Dempster-Shafer Theory-based approach to the Failure Mode, Effects and Criticality Analysis (FMECA) under epistemic uncertainty: application to the propulsion system of a fishing vessel , 2017, Reliab. Eng. Syst. Saf..

[15]  Yong Deng,et al.  Failure mode and effects analysis based on D numbers and TOPSIS , 2016, Qual. Reliab. Eng. Int..

[16]  Chunhe Xie,et al.  Failure Mode and Effects Analysis based on Z-numbers , 2018 .

[17]  Hu-Chen Liu,et al.  An improved approach for failure mode and effect analysis involving large group of experts: An application to the healthcare field , 2018, Quality Engineering.

[18]  Chee Peng Lim,et al.  Application of a Genetic-Fuzzy FMEA to Rainfed Lowland Rice Production in Sarawak: Environmental, Health, and Safety Perspectives , 2018, IEEE Access.

[19]  Fuyuan Xiao,et al.  Multi-sensor data fusion based on the belief divergence measure of evidences and the belief entropy , 2019, Inf. Fusion.

[20]  Ahmet Can Kutlu,et al.  Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP , 2012, Expert Syst. Appl..

[21]  Jian-Xin You,et al.  Systematic failure mode and effect analysis using a hybrid multiple criteria decision-making approach , 2019 .

[22]  Liguo Fei,et al.  A new vector valued similarity measure for intuitionistic fuzzy sets based on OWA operators , 2019 .

[23]  Ronald R. Yager,et al.  An intelligent quality-based approach to fusing multi-source probabilistic information , 2016, Inf. Fusion.

[24]  Hu-Chen Liu,et al.  Failure Mode and Effect Analysis Under Uncertainty: An Integrated Multiple Criteria Decision Making Approach , 2016, IEEE Transactions on Reliability.

[25]  Zhen Li,et al.  A novel evidential FMEA method by integrating fuzzy belief structure and grey relational projection method , 2019, Eng. Appl. Artif. Intell..

[26]  Hu-Chen Liu,et al.  Failure Mode and Effect Analysis using Soft Set Theory and COPRAS Method , 2017, Int. J. Comput. Intell. Syst..

[27]  Yang Gao,et al.  Combining FMEA with DEMATEL models to solve production process problems , 2017, PloS one.

[28]  Éloi Bossé,et al.  Information Quality in Information Fusion and Decision Making , 2019, Information Fusion and Data Science.

[29]  Yong Deng,et al.  A New Method to Identify Incomplete Frame of Discernment in Evidence Theory , 2019, IEEE Access.

[30]  Wen Jiang,et al.  A new method to evaluate risk in failure mode and effects analysis under fuzzy information , 2018, Soft Comput..

[31]  Szymon Jaroszewicz,et al.  An axiomatization of partition entropy , 2002, IEEE Trans. Inf. Theory.

[32]  Qing Liu,et al.  An Improved Deng Entropy and Its Application in Pattern Recognition , 2019, IEEE Access.

[33]  Yong Deng,et al.  Generalized Ordered Propositions Fusion Based on Belief Entropy , 2018, Int. J. Comput. Commun. Control.

[34]  G. Strang Introduction to Linear Algebra , 1993 .

[35]  Jian-Bo Yang,et al.  Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean , 2009, Expert Syst. Appl..

[36]  Behnam Vahdani,et al.  A new FMEA method by integrating fuzzy belief structure and TOPSIS to improve risk evaluation process , 2014, The International Journal of Advanced Manufacturing Technology.

[37]  Chunhe Xie,et al.  Failure mode and effects analysis based on a novel fuzzy evidential method , 2017, Appl. Soft Comput..

[38]  Zhaojun Li,et al.  New approach for failure mode and effect analysis using linguistic distribution assessments and TODIM method , 2017, Reliab. Eng. Syst. Saf..

[39]  Ashkan Hafezalkotob,et al.  A risk-based fuzzy evidential framework for FMEA analysis under uncertainty: An interval-valued DS approach , 2018, J. Intell. Fuzzy Syst..

[40]  Souleymane Oumtanaga,et al.  A New Uncertainty Measure in Belief Entropy Framework , 2018 .

[41]  Yong Deng,et al.  A new method to measure the divergence in evidential sensor data fusion , 2019, Int. J. Distributed Sens. Networks.

[42]  Wei Wu,et al.  Development of a risk-based maintenance strategy using FMEA for a continuous catalytic reforming plant , 2012 .

[43]  Mesut Kumru,et al.  Fuzzy FMEA application to improve purchasing process in a public hospital , 2013, Appl. Soft Comput..

[44]  Karl Aberer,et al.  Maximal fusion of facts on the web with credibility guarantee , 2019, Inf. Fusion.

[45]  Liguo Fei,et al.  A new divergence measure for basic probability assignment and its applications in extremely uncertain environments , 2017, Int. J. Intell. Syst..

[46]  Fuyuan Xiao,et al.  A Multiple-Criteria Decision-Making Method Based on D Numbers and Belief Entropy , 2019, International Journal of Fuzzy Systems.

[47]  Hu-Chen Liu,et al.  Failure mode and effect analysis using MULTIMOORA method with continuous weighted entropy under interval-valued intuitionistic fuzzy environment , 2016, Soft Computing.

[48]  Seyed Hossein Razavi Hajiagha,et al.  Fuzzy belief structure based VIKOR method: an application for ranking delay causes of Tehran metro system by FMEA criteria , 2016 .

[49]  J. P. Modak,et al.  Application of RCM to a medium scale industry , 2002, Reliab. Eng. Syst. Saf..

[50]  Yong Deng,et al.  Engine fault diagnosis based on sensor data fusion considering information quality and evidence theory , 2018, Advances in Mechanical Engineering.

[51]  Fuyuan Xiao,et al.  Aggregation of uncertainty data based on ordered weighting aggregation and generalized information quality , 2019, Int. J. Intell. Syst..

[52]  Mohammad A. Khalilzadeh,et al.  Risk evaluation using a novel hybrid method based on FMEA, extended MULTIMOORA, and AHP methods under fuzzy environment , 2018, Safety Science.

[53]  Greg Bednarz,et al.  Failure modes and effects analysis (FMEA) for Gamma Knife radiosurgery , 2017, Journal of applied clinical medical physics.

[54]  Mahdi Bahrami,et al.  Innovation and Improvements In Project Implementation and Management; Using FMEA Technique , 2012 .

[55]  Fuyuan Xiao,et al.  Divergence measure of Pythagorean fuzzy sets and its application in medical diagnosis , 2019, Appl. Soft Comput..

[56]  Felix T. S. Chan,et al.  AMWRPN: Ambiguity Measure Weighted Risk Priority Number Model for Failure Mode and Effects Analysis , 2018, IEEE Access.