Abstract
Failure mode and effects analysis (FMEA) is an effective analysis method to identify and rank the potential failure modes. Since traditional FMEA is inadequate to represent the vagueness in human decisions and evaluations, a new interval valued neutrosophic sets based FMEA method is proposed in this paper. Each parameter is represented by both potential causes of failure score and a corresponding IVN number. The proposed method is presented in 4 steps with its application on an automotive company who wants to prioritize the potential causes of failures in the design process depending on 3 decision maker’s evaluations.
| Original language | English |
|---|---|
| Title of host publication | Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference |
| Editors | Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga |
| Publisher | Springer Verlag |
| Pages | 1085-1093 |
| Number of pages | 9 |
| ISBN (Print) | 9783030237554 |
| DOIs | |
| Publication status | Published - 2020 |
| Event | International Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Turkey Duration: 23 Jul 2019 → 25 Jul 2019 |
Publication series
| Name | Advances in Intelligent Systems and Computing |
|---|---|
| Volume | 1029 |
| ISSN (Print) | 2194-5357 |
| ISSN (Electronic) | 2194-5365 |
Conference
| Conference | International Conference on Intelligent and Fuzzy Systems, INFUS 2019 |
|---|---|
| Country/Territory | Turkey |
| City | Istanbul |
| Period | 23/07/19 → 25/07/19 |
Bibliographical note
Publisher Copyright:© 2020, Springer Nature Switzerland AG.
Keywords
- Failure mode and effect analysis
- Interval valued neutrosophic sets
- Risk priority number