A new hybrid MCDM approach for RPN evaluation for a medical device prototype

[1]  Gülsen Aydin Keskin,et al.  An alternative evaluation of FMEA: Fuzzy ART algorithm , 2009, Qual. Reliab. Eng. Int..

[2]  Priyank Srivastava,et al.  Qualitative analysis of CNG dispensing system using fuzzy FMEA–GRA integrated approach , 2018, Int. J. Syst. Assur. Eng. Manag..

[3]  Hu-Chen Liu,et al.  An integrated approach for failure mode and effect analysis based on uncertain linguistic GRA–TOPSIS method , 2018, Soft Comput..

[4]  Ikuobase Emovon.  Improving Risk Analysis Capability of FMEA Using Evaluation Based On Distance From Average Solution (EDAS): A Case Study of Turbocharger System , 2018 .

[5]  Yung-Chia Chang,et al.  Enhancing FMEA assessment by integrating grey relational analysis and the decision making trial and evaluation laboratory approach , 2013 .

[6]  W. El-Matary,et al.  Esophageal foreign body extraction in children: flexible versus rigid endoscopy , 2011, Surgical Endoscopy.

[7]  Hasan Selim,et al.  A Dynamic Maintenance Planning Framework Based on Fuzzy TOPSIS and FMEA: Application in an International Food Company , 2016, Qual. Reliab. Eng. Int..

[8]  Dragisa Stanujkic,et al.  An Extension of the EDAS Method Based on the Use of Interval Grey Numbers , 2017 .

[9]  Zeshui Xu,et al.  Modeling complex linguistic expressions in qualitative decision making: An overview , 2018, Knowl. Based Syst..

[10]  Pietro Mancosu,et al.  Multi-institutional application of Failure Mode and Effects Analysis (FMEA) to CyberKnife Stereotactic Body Radiation Therapy (SBRT) , 2015, Radiation Oncology.

[11]  M. Dudek-Burlikowska,et al.  Application of FMEA method in enterprise focused on quality , 2011 .

[12]  Xin Guo Ming,et al.  A rough TOPSIS Approach for Failure Mode and Effects Analysis in Uncertain Environments , 2014, Qual. Reliab. Eng. Int..

[13]  Maria Laura Chiozza,et al.  FMEA: a model for reducing medical errors. , 2009, Clinica chimica acta; international journal of clinical chemistry.

[14]  J. Rezaei.  Best-worst multi-criteria decision-making method , 2015 .

[15]  J. R. Jadhav,et al.  Risk management in medical product development process using traditional FMEA and fuzzy linguistic approach: a case study , 2015 .

[16]  Tongdan Jin,et al.  MULTIPLE FAILURE MODES ANALYSIS AND WEIGHTED RISK PRIORITY NUMBER EVALUATION IN FMEA , 2011 .

[17]  Yu Yang,et al.  SMAA-based model for decision aiding using regret theory in discrete Z-number context , 2018, Appl. Soft Comput..

[18]  Zhang-peng Tian,et al.  An integrated approach for failure mode and effects analysis based on fuzzy best-worst, relative entropy, and VIKOR methods , 2018, Appl. Soft Comput..

[19]  Hu-Chen Liu,et al.  Failure mode and effect analysis using multi-criteria decision making methods: A systematic literature review , 2019, Comput. Ind. Eng..

[20]  Prasenjit Chatterjee,et al.  Investigating the Effect of Normalization Norms in Flexible Manufacturing Sytem Se- lection Using Multi-Criteria Decision-Making Methods , 2014 .

[21]  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.

[22]  K. Maheswaran,et al.  A Novel Approach for Prioritization of Failure modes in FMEA using MCDM , 2013 .

[23]  Farshad Faezy Razi,et al.  An FMEA analysis using grey theory and grey rough sets , 2013 .

[24]  B. Roy.  THE OUTRANKING APPROACH AND THE FOUNDATIONS OF ELECTRE METHODS , 1991 .

[25]  Jin Wang,et al.  Fuzzy Rule-Based Bayesian Reasoning Approach for Prioritization of Failures in FMEA , 2008, IEEE Transactions on Reliability.

[26]  Marcello Braglia,et al.  Monte Carlo simulation approach for a modified FMECA in a power plant , 2000 .

[27]  Gwe-Ya Kim,et al.  A comparison of two prospective risk analysis methods: Traditional FMEA and a modified healthcare FMEA. , 2016, Medical physics.

[28]  Hu-Chen Liu,et al.  A Novel Approach for FMEA: Combination of Interval 2‐Tuple Linguistic Variables and Gray Relational Analysis , 2015, Qual. Reliab. Eng. Int..

[29]  Yifan Sun,et al.  Application of decision making and fuzzy sets theory to evaluate the healthcare and medical problems: A review of three decades of research with recent developments , 2019, Expert Syst. Appl..

[30]  F Castiglia,et al.  Risk assessment of component failure modes and human errors using a new FMECA approach: application in the safety analysis of HDR brachytherapy , 2014, Journal of radiological protection : official journal of the Society for Radiological Protection.

[31]  Hu-Chen Liu,et al.  Evaluating the risk of healthcare failure modes using interval 2-tuple hybrid weighted distance measure , 2014, Comput. Ind. Eng..

[32]  Yuan Lu,et al.  Analyzing fuzziness in product quality and reliability information-flow during time-driven product-development-process , 2002, Annual Reliability and Maintainability Symposium. 2002 Proceedings (Cat. No.02CH37318).

[33]  Lefayet Sultan Lipol.  Risk analysis method : FMEA / FMECA in the organizations , 2012 .

[34]  Dinsie B Williams,et al.  Health technology assessment of medical devices , 2020, Clinical Engineering Handbook.

[35]  Gwo-Hshiung Tzeng,et al.  Extended VIKOR method in comparison with outranking methods , 2007, Eur. J. Oper. Res..

[36]  T. G. Frank,et al.  Instruments based on shape-memory alloy properties for minimal access surgery, interventional radiology and flexible endoscopy , 2000 .

[37]  Linhan Ouyang,et al.  An interval probability‐based FMEA model for risk assessment: A real‐world case , 2019, Qual. Reliab. Eng. Int..

[38]  Valentinas Podvezko,et al.  Evaluation of quality assurance in contractor contracts by multi-attribute decision-making methods , 2017 .

[39]  Liliane Pintelon,et al.  Performance indicator selection for operating room supply chains: An application of ANP , 2019, Operations Research for Health Care.

[40]  James J. H. Liou,et al.  A novel multiple-criteria decision-making-based FMEA model for risk assessment , 2018, Appl. Soft Comput..

[41]  Hu-Chen Liu,et al.  An integrated failure mode and effect analysis approach for accurate risk assessment under uncertainty , 2016 .

[42]  Francesco Zammori,et al.  ANP/RPN: a multi criteria evaluation of the Risk Priority Number , 2012, Qual. Reliab. Eng. Int..

[43]  Mario Enea,et al.  The ELECTRE I method to support the FMECA , 2018 .

[44]  Minghe Sun,et al.  Failure Mode and Effects Analysis Using Two-Dimensional Uncertain Linguistic Variables and Alternative Queuing Method , 2019, IEEE Transactions on Reliability.

[45]  Hu-Chen Liu,et al.  A linguistic risk prioritization approach for failure mode and effects analysis: A case study of medical product development , 2019, Qual. Reliab. Eng. Int..

[46]  Valentinas Podvezko,et al.  Integrated Determination of Objective Criteria Weights in MCDM , 2016, Int. J. Inf. Technol. Decis. Mak..

[47]  Peng Wang,et al.  A hybrid method using experiment design and grey relational analysis for multiple criteria decision making problems , 2013, Knowl. Based Syst..

[48]  Debasis Kundu,et al.  Inference on Weibull parameters under a balanced two-sample type II progressive censoring scheme , 2020, Quality and Reliability Eng. Int..