Öz
It is significant to identify and eliminate or
minimize faults in order to provide customer satisfaction. FailureMode and Effects
Analysis (FMEA) is recognized as an operative tool for the quality improvement.
This study carried out FMEA in knitting process using fuzzy Technique for Order
Preference by Similarity to Ideal Solution (TOPSIS). The fuzzy approach was
integrated into the TOPSIS because of its ability to deal with the imprecision
and vagueness in real world problems. In this manner, classifying failures into
priority classes by experts using linguistic variables allows managers to be
focused on the most critical ones with more robust priority ranking. According to the obtained results
in this study, it was determined roller shooting mistake, oil stain,
measurement inequality, touching error, number of hole,
pattern error and yarn breakage are the most critical faults.
These failure modes are usually caused by the fact that the adjustments of
the knitting machine are not set properly. In order to troubleshoot the see errors; it is
significant to increase the number and quality of trainings in the factory,
ensure their continuity and carry out regular machine maintenance.
Kaynakça
- 1. Dietz W., 2015, “Chapter 8 - Failure Mode and Effects Analysis (FMEA): Well-known methodologies, but not in our world”, Re-Engineering Clinical Trials: Best Practices for Streamlining the DevelopmentProcess, Edited by:PeterSchüler and Brendan Buckley , Academic Press is an imprint of Elsevier , pp: 77-88.
- 2. LolliF.,Ishizaka A., Gamberini R. Rimini B. and Messori M., 2015, “FlowSort-GDSS – A novel group multi-criteria decision support system for sorting problems with application to FMEA”, Expert Systems with Applications, 42, pp: 6342–6349.
- 3. Xu K., Tang L.C, Xie M., Ho S.L. and Zhu M.L., 2002, “Fuzzy assessment of FMEA for engine systems”, Reliability Engineering and System Safety, 75, pp:17-29.
- 4. Gargama H. and Chaturvedi S.K., 2011, “Criticality assessment models for failure mode effects and criticality analysis using fuzzy logic”, IEEE Transactions on Reliability, 60, pp:102–110.
- 5. Liu H.-C.,Liu L. andLiu N., 2013, “Risk evaluationapproaches in failuremodeandeffectsanalysis: A literaturereview”, ExpertSystemswith Applications, 40, pp:828–838.
- 6. Mandal S.andMaiti J., 2014, “Risk analysisusing FMEA: Fuzzysimilarityvalueandpossibilitytheorybasedapproach”, Expert Systems with Applications, 41, 3527–3537
- 7. Braglia, M., Frosolini, M. and Montanari, R., 2003, “Fuzzy TOPSIS approach for failure mode, effects and criticality analysis”, Quality and Reliability Engineering International, 19, pp:425–443.
- 8. Song W.,Ming X., Wu Z. andZhu B., 2013, “Failuremodesandeffectsanalysisusingintegratedweight-basedfuzzy TOPSIS”, International Journal of ComputerIntegratedManufacturing, Vol: 26 (12), pp: 1172-1186.
- 9. Ekmekçioğlu M. and Kutlu, A.C., 2012, “A Fuzzy Hybrid Approach for Fuzzy Process FMEA: An Application to a Spindle Manufacturing Process”, International Journal of Computational Intelligence Systems, Vol. 5, No. 4, 611-626.
- 10. Özyazgan V. and Engin F.Z., 2013, “FMEA analysis and applications in knitting industry”, TekstilveKonfeksiyon, Vol: 23(3), pp: 228-232.
- 11. Özyazgan V., 2014, “FMEA analysis and implementation in a textile factory producing woven fabric”, TekstilveKonfeksiyon, Vol: 24(3), pp: 303-308.
- 12. Kaewsom P and Rojanarowan N, 2014, “The application of FMEA to reduce defective rate from broken filament defects in the Direct Spin Drawing process”, IOSR Journal of Engineering, Vol: 04 (05), 55-58.
- 13. Küçük M., İşler M. and Güner M., 2016, “An application of the FMEA method to the cutting department of a clothing company”, TekstilveKonfeksiyon, Vol: 26(2), 205-212.
- 14. Chen C.T., 2000, “Extensions of the Topsis for Group Decision-Making Under Fuzzy Environment”, Fuzzy Sets and Systems, 114, pp.1-9.
Öz
Müşteri
memnuniyetini sağlamak için hataları tespit etmek, ortadan kaldırmak veya en
aza indirmek önemlidir. Hata türü ve etkileri analizi (HTEA), kalite
iyileştirme için etkin bir araç olarak kabul edilmektedir. Bu çalışmada; FMEA,
örme sürecinde bulanık TOPSIS kullanılarak gerçekleştirilmiştir. Bulanık
mantığın gerçek dünya problemlerindeki kesin olmayan enformasyonla ve
belirsizlikle başa çıkma becerisi nedeniyle, bulanık yaklaşımı TOPSIS tekniğine
entegre edilerek kullanılmıştır. Bu şekilde, hataların uzmanlar tarafından dilsel
değişkenler kullanılarak önceliklendirilmesi, yöneticilerin daha güçlü öncelik
sıralamasına sahip en kritik olanlara odaklanmalarına olanak tanır.Bu çalışmada
elde edilen sonuçlara göre, merdane çekim hatası, yağ lekesi, ölçü eşitsizliği,
tuşe hatası, kaçık patlak, desen hatası ve iplik kopması kritik hatalar olarak
belirlenmiştir. Bu hata türleri genellikle örgü makinesinin ayarlarının doğru
yapılmamasından kaynaklanmaktadır. Bu hataları gidermek için; fabrikadaki eğitimlerin
sayısının ve kalitesinin arttırılması, sürekliliğinin sağlanması ve düzenli
makine bakımlarının yapılması önemlidir
Kaynakça
- 1. Dietz W., 2015, “Chapter 8 - Failure Mode and Effects Analysis (FMEA): Well-known methodologies, but not in our world”, Re-Engineering Clinical Trials: Best Practices for Streamlining the DevelopmentProcess, Edited by:PeterSchüler and Brendan Buckley , Academic Press is an imprint of Elsevier , pp: 77-88.
- 2. LolliF.,Ishizaka A., Gamberini R. Rimini B. and Messori M., 2015, “FlowSort-GDSS – A novel group multi-criteria decision support system for sorting problems with application to FMEA”, Expert Systems with Applications, 42, pp: 6342–6349.
- 3. Xu K., Tang L.C, Xie M., Ho S.L. and Zhu M.L., 2002, “Fuzzy assessment of FMEA for engine systems”, Reliability Engineering and System Safety, 75, pp:17-29.
- 4. Gargama H. and Chaturvedi S.K., 2011, “Criticality assessment models for failure mode effects and criticality analysis using fuzzy logic”, IEEE Transactions on Reliability, 60, pp:102–110.
- 5. Liu H.-C.,Liu L. andLiu N., 2013, “Risk evaluationapproaches in failuremodeandeffectsanalysis: A literaturereview”, ExpertSystemswith Applications, 40, pp:828–838.
- 6. Mandal S.andMaiti J., 2014, “Risk analysisusing FMEA: Fuzzysimilarityvalueandpossibilitytheorybasedapproach”, Expert Systems with Applications, 41, 3527–3537
- 7. Braglia, M., Frosolini, M. and Montanari, R., 2003, “Fuzzy TOPSIS approach for failure mode, effects and criticality analysis”, Quality and Reliability Engineering International, 19, pp:425–443.
- 8. Song W.,Ming X., Wu Z. andZhu B., 2013, “Failuremodesandeffectsanalysisusingintegratedweight-basedfuzzy TOPSIS”, International Journal of ComputerIntegratedManufacturing, Vol: 26 (12), pp: 1172-1186.
- 9. Ekmekçioğlu M. and Kutlu, A.C., 2012, “A Fuzzy Hybrid Approach for Fuzzy Process FMEA: An Application to a Spindle Manufacturing Process”, International Journal of Computational Intelligence Systems, Vol. 5, No. 4, 611-626.
- 10. Özyazgan V. and Engin F.Z., 2013, “FMEA analysis and applications in knitting industry”, TekstilveKonfeksiyon, Vol: 23(3), pp: 228-232.
- 11. Özyazgan V., 2014, “FMEA analysis and implementation in a textile factory producing woven fabric”, TekstilveKonfeksiyon, Vol: 24(3), pp: 303-308.
- 12. Kaewsom P and Rojanarowan N, 2014, “The application of FMEA to reduce defective rate from broken filament defects in the Direct Spin Drawing process”, IOSR Journal of Engineering, Vol: 04 (05), 55-58.
- 13. Küçük M., İşler M. and Güner M., 2016, “An application of the FMEA method to the cutting department of a clothing company”, TekstilveKonfeksiyon, Vol: 26(2), 205-212.
- 14. Chen C.T., 2000, “Extensions of the Topsis for Group Decision-Making Under Fuzzy Environment”, Fuzzy Sets and Systems, 114, pp.1-9.
Ayrıntılar
| Birincil Dil | İngilizce |
|---|---|
| Bölüm | Makaleler |
| Yazarlar | |
| Yayımlanma Tarihi | 31 Mart 2018 |
| Gönderilme Tarihi | 16 Ağustos 2017 |
| Kabul Tarihi | 30 Kasım 2017 |
| Yayımlandığı Sayı | Yıl 2018 Cilt: 28 Sayı: 1 |
