| | | |

## Risk Priority With Fuzzy Logic: Application of A Textile Factory

#### Tülay Korkusuz Polat [1]

##### 81 190

The most important reality in the business life that has not changed in the last fifty years is perhaps the necessity for the “customer satisfaction to be sustainable.” Every failure that adversely affects product quality also causes customer dissatisfaction. In this study, the Failure Mode and Effects Analysis (FMEA) was used to analyze the potential quality failures of the production system in a textile factory. By using this method, the probability, severity and detectability of quality faults (quality risks) which could lead to customer dissatisfaction were determined. In this method, the risk magnitudes are found by multiplying the probability, severity and detectability values of risks. These risks with high priority, which are also called the Risk Priority Numbers (RPN), are the risks which need to be considered as priority, and for which more resources are needed to be allocated. These three components are equally effective when determining the Risk Priority Number because of the multiplication operation. However, when ranking the risks, the role of the severity component is more important than the others. This is because a risk of low severity may rank low in the priority order even if it occurs very frequently (even if it has a high probability). Similarly, in the exact opposite condition, even if the probability is low, a risk with a high severity needs to be placed higher in the priority order, and more resources are needed to eliminate such risks. Due to this uncertain situation, prioritization has also been made by creating a rule-based fuzzy logic in MATLAB, with the assumption that it is more meaningful to use fuzzy expressions instead of definite expressions when determining the magnitudes of risks.

Failure Mode Effect Analysis, Fuzzy Logic, risk priority
• [1] C.S. Carlson “Effective FMEAs: Achieving Safe, Reliable, and Economical Products and Processes using Failure Mode and Effects Analysis”, Wiley, New Jersey, 1st Edition, 2012, ISBN-10: 1118007433 ISBN-13: 978-1118007433
• [2] Y. Liu, Z. Kong, Q. Zhang “Failure modes and effects analysis (FMEA) for the security of the supply chain system of the gas station in China”, Ecotoxicology and Environmental Safety, 164, pp. 325-330, 2018
• [3] K. R. Rodhe “Failure Modes and Effect Analysis: Templates and Tools to Improve Patient Safety”, HCPro Inc., 1st Edition, USA, 2007, ISBN-10: 1601460295 ISBN-13: 978-1601460295
• [4] H-C. Liu, L. Liu, N. Liu “Risk evaluation approach in failure mode and effects analysis: A literature review”, Expert Systems with Applications 40, pp. 828-838, 2013
• [5] M.J. Rezaee, S. Yousefi, M. Valipour, M.M. Dehdar “Risk analysis of sequential processes in food industry integrating multi-stage fuzzy cognitive map and process failure mode and effects analysis”, Computers&Industrial Engineering 123 pp. 325-337, 2018
• [6] Ö. Yücel “Konfeksiyon üretiminde hata türü ve etkileri analizi”, Tekstil ve Konfeksiyon 2, sayfa 126-131, 2007
• [7] Ö. Özkılıç “İş Sağlığı ve Güvenliği Yönetim Sistemleri ve Risk Değerlendirme Metodolojileri”, TİSK Yayınları, Ankara, 2005
• [8] Y-M. Wang, K-S. Chin, G.K.K. Poon, J.B. Yang “Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean”, Expert Systems with Applications 36, pp. 1195-1207, 2009
• [9] K-H. Chang, C-H. Cheng “Evaluating the risk of failure using the fuzzy OWA and DEMATEL method”, Journal of Intelligent Manufacturing 22, pp. 113-129, 2011
• [10] H.S. Tooranloo, A.S. Ayatollah “A model for failure mode and effects analysis based on intuitionistic fuzzy approach”, Applied Soft Computing 49, pp. 238-247, 2016
• [11] I. McAndrew, E. Vishnevskaya “Failure Mode Effects Analysis: A Practical Approach”, AP Lambert Academic Publishing, 2018, ISBN-10: 6134973122 ISBN-13: 978-6134973120
• [12] Y. Aydın, T. Eren “Hava savunma sanayii alt yüklenici seçiminde bulanık mantık altında çok kriterli karar verme ve hedef programlama yöntemlerinin kullanılması”, Journal of Aviation 2, sayfa: 10-30, 2018
• [13] E. Kıyak, A. Kahvecioğlu “Bulanık mantık ve uçuş control problemine uygulanması”, Havacılık ve Uzay Teknolojileri Dergisi Cilt 1, Sayı 2, sayfa 63-72, 2003
• [14] K. Tanaka “An Introduction to Fuzzy Logic for Practical Applications”, Springer, 1996th Edition, ISBN-13: 978-0387948072 ISBN-10: 0387948074
• [15] H.T. Nguyen, E.A. Walker “A First Course in Fuzzy Logic”, Chapman and Hall/CRC Press Taylor&Francis Group, Third Edition, Boca Raton, 2005
• [16] Handbook of Mathematical Fuzzy Logic – Volume 1, P. Cintule, P. Hajek, C. Noguere (Editors), College Publications, 2011, ISBN-10: 1848900392 ISBN-13: 978-1848900394
• [17] T.J. Ross “Fuzzy Logic with Engineering Applications”, Wiley, 4th Edition, UK, 2017, ISBN-13: 978-1119235866 ISBN-10: 1119235863
• [18] R. Belohlavek, J.W. Dauben, G.J. Klir “Fuzzy Logic and Matmematics: A Historical Perspective”, Oxford University Press, UK, 2017, ISBN-13: 978-0190200015 ISBN-10: 0190200014
• [19] G.J. Klir, B. Yuan “Fuzzy Sets and Fuzzy Logic: Theory and Applications”, Prentice Hall, 1st edition, 1995, ISBN-13: 978-0131011717 ISBN-10: 0131011715
• [20] A.K. Bhargava “Fuzzy Set Theory, Fuzzy Logic and Their Applications”, S. Chand & Company Pvt. Ltd., First Edition, New Delhi, 2013, ISBN-13: 978-8121941945 ISBN-10: 8121941946
Primary Language en Industrial Engineering April 2019 Research Articles Orcid: 0000-0001-6693-7873Author: Tülay Korkusuz Polat (Primary Author)Institution: SAKARYA ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİCountry: Turkey
 Bibtex @research article { saufenbilder458807, journal = {Sakarya University Journal of Science}, issn = {1301-4048}, eissn = {2147-835X}, address = {Sakarya University}, year = {2019}, volume = {23}, pages = {203 - 212}, doi = {10.16984/saufenbilder.458807}, title = {Risk Priority With Fuzzy Logic: Application of A Textile Factory}, key = {cite}, author = {Korkusuz Polat, Tülay} } APA Korkusuz Polat, T . (2019). Risk Priority With Fuzzy Logic: Application of A Textile Factory. Sakarya University Journal of Science, 23 (2), 203-212. DOI: 10.16984/saufenbilder.458807 MLA Korkusuz Polat, T . "Risk Priority With Fuzzy Logic: Application of A Textile Factory". Sakarya University Journal of Science 23 (2019): 203-212 Chicago Korkusuz Polat, T . "Risk Priority With Fuzzy Logic: Application of A Textile Factory". Sakarya University Journal of Science 23 (2019): 203-212 RIS TY - JOUR T1 - Risk Priority With Fuzzy Logic: Application of A Textile Factory AU - Tülay Korkusuz Polat Y1 - 2019 PY - 2019 N1 - doi: 10.16984/saufenbilder.458807 DO - 10.16984/saufenbilder.458807 T2 - Sakarya University Journal of Science JF - Journal JO - JOR SP - 203 EP - 212 VL - 23 IS - 2 SN - 1301-4048-2147-835X M3 - doi: 10.16984/saufenbilder.458807 UR - https://doi.org/10.16984/saufenbilder.458807 Y2 - 2018 ER - EndNote %0 Sakarya University Journal of Science Risk Priority With Fuzzy Logic: Application of A Textile Factory %A Tülay Korkusuz Polat %T Risk Priority With Fuzzy Logic: Application of A Textile Factory %D 2019 %J Sakarya University Journal of Science %P 1301-4048-2147-835X %V 23 %N 2 %R doi: 10.16984/saufenbilder.458807 %U 10.16984/saufenbilder.458807 ISNAD Korkusuz Polat, Tülay . "Risk Priority With Fuzzy Logic: Application of A Textile Factory". Sakarya University Journal of Science 23 / 2 (April 2019): 203-212. https://doi.org/10.16984/saufenbilder.458807