Quality Improvement in Manufacturing Processes to Defective Products using Pareto Analysis and FMEA

Öz

Özet: Quality is a main driver in a customer’s choice of products and service. Improvement of quality is a extremely desired objective in the brutally competitive industrial world. There are many methods for quality improvement. Pareto analysis is one of the major technics of statistical process control. It is a broadly applicable method that used for identifying and prioritizing the factors like failure modes, success criteria, downtime reasons etc. in manufacturing or service processes. Failure Mode and Effect Analysis (FMEA) is an evaluation and improvement technique that is applied to identify and eliminate known or potential failures and problems from a system, design, process and service before they actually ocur and reach the customer. Priority ranking of FMEA is determined by Risk Priority Number (RPN) which is computed by multiplication of severity, occurrence and detectability of failures. In this study, it is aimed to determine and classify failure modes and to offer suggestions according to their importance degree by Pareto analysis and FMEA for grinding process. After investigating the reasons of the occurring waste product in grinding process analyzed by Pareto analysis. To apply FMEA, firstly, decision team was established to determine the causes of fault. And then FMEA is performed to prioritize the critical potential failure modes of the process. Finally, some recommended actions were discussed.

Öz

Özet: Quality is a main driver in a customer’s choice of products and service. Improvement of quality is a extremely desired objective in the brutally competitive industrial world. There are many methods for quality improvement. Pareto analysis is one of the major technics of statistical process control. It is a broadly applicable method that used for identifying and prioritizing the factors like failure modes, success criteria, downtime reasons etc. in manufacturing or service processes. Failure Mode and Effect Analysis (FMEA) is an evaluation and improvement technique that is applied to identify and eliminate known or potential failures and problems from a system, design, process and service before they actually ocur and reach the customer. Priority ranking of FMEA is determined by Risk Priority Number (RPN) which is computed by multiplication of severity, occurrence and detectability of failures. In this study, it is aimed to determine and classify failure modes and to offer suggestions according to their importance degree by Pareto analysis and FMEA for grinding process. After investigating the reasons of the occurring waste product in grinding process analyzed by Pareto analysis. To apply FMEA, firstly, decision team was established to determine the causes of fault. And then FMEA is performed to prioritize the critical potential failure modes of the process. Finally, some recommended actions were discussed.

Kaynakça

1. Adam, Jr., E. E. (1994). Alternative Quality Improvement Practices and Organization Performance, Journal of
2. Operations Management, 12 (1): 27-44. Ahmed, M., Ahmad, N. (2011). An Application of Pareto Analysis and Cause-and-Effect Diagram (CED) for
3. Minimizing Rejection of Raw Materials in Lamp Production Process, Management Science and Engineering, 5 (3): 87- Akın, B. (1996). ISO 9000 Uygulamasında İşletmelerde İstatistik Proses Kontrol Teknikleri, Istanbul:Bilim Teknik Yayınevi, 49-50.
4. Akın, B., Öztürk, E. (2005). İstatistiksel Proses Kontrol Tekniklerinin Bilgisayar Ortamında Uygulanması, VII. Ulusal
5. Ekonometri ve İstatistik Sempozyumu Bildirileri CD, Istanbul, 1-15. Aksay, K., Orhan, F., Kurutkan M. N. (2012). Sağlık Hizmetlerinde Bir Risk Yönetimi Tekniği Olarak FMEA:
6. Laboratuvar Sürecine Yönelik Bir Uygulama, Sağlıkta Performans ve Kalite Dergisi, 121-142. Arvanitoyannis, I.S., Varzakas, T.H. (2007). Application Of Failure Mode And Effect Analysis (FMEA),
7. CauseandEffect Analysis and Pareto Diagram in Conjunction with HACCP to a Potato Chips Manufacturing Plant, International Journal of Food Science and Technology, 42: 1424-1442.
8. Ateş E., Oral, A., Gönen, D., İnal E. P. (2006). Ayarlanabilir Başlıklı Delme Aparatı için Tasarım FMEA Uygulaması,

9. Tasarım İmalat Analiz Kongresi Bildiriler Kitabı, Eskişehir, 35-45. Baysal, M. E., Canıyılmaz, E., Eren, T. (2002). Otomotiv Yan Sanayiinde Hata Türü ve Etkileri Analizi, Teknoloji, 5(1-2), 83-90.
10. Besterfield, D. H., Besterfield, C. M., Besterfield, G. H., Urdhwarashe, H., Urdhwarashe, R. (2012). Total Quality
11. Management, Revised Third Edition, Pearson Publication, 297. Bircan, H., Gedik, H. (2003). Tekstil Sektöründe İstatistiksel Proses Kontrol Teknikleri Uygulaması Üzerine Bir
12. Deneme, C.Ü. İktisadi. ve İdari Bilimler Dergisi, 4(2): 69-79. Bozkurt, R. (2003). Kalite İyileştirme Araç ve Yöntemleri: İstatistiksel Teknikler, Ankara: Milli Prodüktivite Merkezi Yayınları, 121.
13. Canbolat, Y. B. (2000). Azerbaycan’da İlk Kalite Çemberleri Uygulaması, Journal of Qafqaz University, 3(1): 111
14. Cervone, H. F. (2009). Applied Digital Library Project Management: Using Pareto Analysis to Determine Task
15. Importance Rankings, OCLC Systems& Services, 25(2): 76-81. Chin, K. S.,Wang, Y. M., Poon, G. K.K , Yang, J. B. (2009). Failure Mode And Effects Analysis Using a Group
16. Based Evidential Reasoning Approach, Computers & Operations Research, 36: 1768-1779.
17. Cravener, T.L.,Roush, W.B., Jordan, H. (1993). Pareto Assessment of Quality Control in Poultry Processing Plants”,
18. Applied Poultry Science, 2: 297-302. Çöl, Y., Eraslan, S., Gök, M., Gürlek, O., Karakoç, S., Kandiller, L., Hazır, Ö. (2008). MekaMühendislik’de Envanter
19. Planlama Çalışması, [http%3A%2F%2Facademic.cankaya.edu.tr%2F~ipeks%2Fie408%2F5%2520GROUP %252 09%2520MEKA.doc&ei=qOU5ULrnNsnWtAbz6ID4Cw&usg=AFQjCNGGhmkivES4LFrhS1dbJrNWf_eECg&sig2
20. =pnH2cPZ12n_PuU5Flv0-2g] (27.08.2012).
21. Eleren, A. (2007). Eğitim Başarısının Artırılmasında Süreç Geliştirme Yöntemlerinin Kullanılması ve Bir Uygulama,
22. Afyon Kocatepe Üniversitesi İİBF Dergisi, 9 (2): 1-25. Fedai, T., Çetin, M., Teke, A. (2010). Tedavi Sürecindeki Gereksiz Değişkenliklerin Pareto Analizi İle
23. Değerlendirilmesi, Sağlık Bilimleri Dergisi (Journal of HealthSciences), 19(3): 184-190. Gitlow, H. S., Oppenheim, A. J., Oppenheim, R., Levine, D. M. (2005). Quality Management, Third Edition, McGrawHill, USA, 366-367.
24. Güller, B. (2001). Odun Kompozitleri, Süleyman Demirel Üniversitesi Orman Fakültesi Dergisi, A(2): 135-160.
25. Güner, M. (2009). Konfeksiyon İşletmelerinde Örgütsel Zaman Yönetimi İçin ABC Analizinin Uygulanması, Tekstil ve Konfeksiyon, 2: 163-168.
26. Hoyle, D. (2000). Automotive Quality Systems Handbook, Butterworth-Heinemann Ltd. Reed Educational Publishing:
27. Işığıçok, E . (2005). Toplam Kalite Yönetimine Bakış Açısıyla İstatistiksel Kalite Kontrol, Bursa: Ezgi Kitabevi: 50-71.
28. Karuppusami, G.,Gandhinathan, R. (2006). Pareto Analysis of Critical Success Factors of Total Quality Management:
29. A Literature Review and Analysis, The TQM Magazine, 18(4): 372-385. Kaya, İ., Ağa, A. (2004). Kalite İyileştirme Sürecinin Yedi Temel Aracı ve Motor-Traktör İmalatı Yapan Bir
30. İşletmede Uygulanması”, Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 11 [http://80.251.40.59/science. ankara.edu.tr/ozdemirt/isttatistikselkalitekontrolu/KAL%DDTE%20KONTROL/Kalite%20iyile%FEtirmede %207 %20ara%E7%20uyg.pdf] (27.08.2012).
31. Kobu, B. (1987). Endüstriyel Kalite Kontrolü, Istanbul: Istanbul Üniversitesi Yayınları No:3425, 314-315.
32. Kuczek, T. (2012). Failure Modes Effect Analysis, Statistical Quality Control Lecture Slides, Perdue University.
33. Kumru, M., Kumru, P. Y. (2010). Hastanelerde Satın Alma Sürecinin İyileştirilmesi: Bir Örnek Uygulama, II.
34. Uluslararası Sağlıkta Performans ve Kalite Kongresi Bildiriler Kitabı, 171- 183. Montgomery, D. C. (2001). Introduction to Statistical Quality Control, 4th Edition, John Wileyand Sons, 4-6.
35. Russell, R. S., Taylor III, B. W. (2009). Operations Management- Along the Supply Chain, Wiley Publications, 53.
36. Özcan, S. (2001).İstatistiksel Proses Kontrol Tekniklerinden Pareto Analizi ve Çimento Sanayiinde Bir Uygulama,
37. C.Ü. İktisadi ve İdari Bilimler Fakültesi Dergisi, 2(2): 151-174. Özsever, Ç., Gençoğlu, T., Erginel, N. (2009). İşgücü Verimlilik Takibi İçin Sistem Tasarımı ve Karar Destek
38. Modelinin Geliştirilmesi, DPÜ Fen Bilimleri Dergisi, 18: 45-58. Spackman, L. (2012). Project Management, Process Mapping, and Failure Mode and Effects Analysis, Kirtland
39. Federal Credit Union. Temiz, İ., Atasoy, E., Sucu, A. (2010). Toplam Ekipman Etkinliği ve Bir Uygulama, Dokuz Eylül Üniversitesi Sosyal
40. Bilimler Enstitüsü Dergisi, 12(4): 49-60. Wysk, R. A. (2010). Failure Modes Effect Analysis, LectureSlides, North Carolina State University.
41. Yılmaz, B. S. (2000). Hata Türü ve Etki Analizi, Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 2 (4): 133
42. Yücel, Ö. (2007). Konfeksiyon Üretiminde Hata Türü ve Etkileri Analizi , Tekstil ve Konfeksiyon, 17 (2): 126-131.
43. URL-1: http://www.managers-net.com/paretoanalysis.html (05.12.2012)
44. URL-2: http://www.ahsaponline.net/dergi/34/odunkompozitleri.htm (05.12.2012)
45. URL-3: http://erpakademi.com/v1/index.php?option=com_content&task=view&id =298&Itemid=189 (17.12.2012)