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KALİTE İYİLEŞTİRME SÜRECİNİN YEDİTEMEL ARACI VE MOTOR-TRAKTÖR İMALATI YAPAN BİR İŞLETMEDE UYGULANMASI

Year 2004, Issue: 11, 447 - 468, 01.02.2004

İhsan Kaya Abdullah Ağa

Abstract

İstatistiksel Proses Kontrol İPK bir ürünün en ekonomik ve yararlıbiçimde üretilmesini sağlamak amacıile istatistiksel prensip ve tekniklerin, üretimin tüm aşamasında kullanılmasıdır. Bu anlamda en çok bilinen yöntemler “Ishikawa’nın Yedi Temel Aracı” olarak da bilinen; sınıflandırma, çetele, histogram, pareto analizi, neden-sonuç diyagramları, serpilme ve kontrol grafikleridir. Bu çalışmada bu yedi temel araç ele alınarak motor ve traktör imalatıyapan bir işletmede bu tekniklerin kalite iyileştirme çalışmalarındaki kullanımlarıincelenmiştir. Yapılan literatür incelenmesinden sonra, işletmede istatistiksel proses kontrol araçlarının kullanılmasıile kalite iyileştirme ve geliştirme süreci incelenerek, bu teknikler yardımıile işletmenin kalite gelişimini olumsuz yönde etkileyen faktörler belirlenmişve bu faktörlerin ortadan kaldırılmasıiçin sebep-sonuç diyagramlarıgeliştirilerek çeşitli önerilerde bulunulmuştur. Ayrıca kontrol diyagramlarıyardımıile proseslerin kontrol altında olup olmadıklarıincelenmişve kontrol dışıdurumlar için sebep-sonuç diyagramlarıgeliştirilmiştir.

Keywords

İstatistiksel Teknikler Kalite İyileştirme

References

  • BENNEYAN, J.C., CHUTE, A.D., “SPC Process İmprovement and The Design PDCA Circle In Freight Administration”, Production And Inventory Management Journal, 34(1), 1993, pp 35-40
  • BESTERFIELD, D.H., (1998), Quality Control, Prentice Hall, New Jersey
  • BOZKURT, R., (1998), Kalite İyileştirme Araç ve Yöntemleri, Milli Prodüktivite Merkezi Yayınları No: 630, Ankara
  • CANTELLO, F.X., CHALMERS, J.E, EVANS, J.E., “Evolution To An Effective And Enduring SPC Systems”, Quality Progress, 23(2), 1990, pp 60-64
  • CHAUDRY, S.S., HIGBIE, J.R., , “Practical Implementation Of Statistical Process Control in Chemical Industry”, International Journal of Quality and Reliability Management, 6(5), 1989, pp 37-48
  • CINDIK, M., (1996), “İstatistiksel Yöntemlerin Kalite Kontrol Ve Kalite Güvencesindeki Önemi”, Standard Dergisi, Ağustos
  • CORBETT, C.J., PAN, J., (2002), “Evaluating Environmental Performance Using Statistical Process Control Techniques”, European Journal of Operational Research, Vol139, pp 68-83.
  • DALE, B.G., ELKJAER, M.B.F., WIELE, WILLIAMS, A. R. T., (2001), “Fad, Fashion And Fit: An Examination of Quality Circles, Business Process Re-Engineering And Statistical Process Control”, International Journal of Production Economics, Vol 73 ,pp 137-152.
  • DOGDU, S., SANTOS, D.L., (1998), “The Paradigm Shift in Statistical Process Control Due to The Latest Developments in Computer Technology”, Computers & Industrial Engineering, Vol 35, pp 177-180.
  • GARCIA-SANZ, M., GUILLÉN, J.C., IBARROLA, J.J., (2001), “Robust Controller Design for Uncertain Systems with Variable Time Delay”, Control Engineering Practice, Vol.9, pp 961-972.
  • GUH, R.S., TANNOCK, J.D.T., (1999), “IntelliSPC: A Hybrid Intelligent Tool for On-Line Economical Statistical Process Control”, Expert Systems with Applications, Vol.17,pp 195-212.
  • GÜMÜŞOĞLU, Ş., (2000), İstatistiksel Kalite Kontrolü ve Toplam Kalite Yönetim Araçları, Beta Yayınları, İstanbul
  • HONG M., G.Y., SHANMUGAN, (1999), “A Statistical Method for Controlling Software Defect Detection Process”, Computers & Industrial Engineering, Vol 37, pp 137-140.
  • HUANG, Q., ZHOU, S., SHI, J., (2002), “Diagnosis of Multi-Operational Machining Processes Through Variation Propagation Analysis”, Robotics and Computer-Integrated Manufacturing, Vol 18, pp 233-239.
  • JUGULUM, R., SEFİK, M., (1998), “Building A Robust Manufacturing Strategy”, Computers & Industrial Engineering, Vol 35, pp 225-228.
  • KAKURO A., (2000), “A Demonstrative Study of a New SQC Concept and Procedure in the Manufacturing Industry”, Mathematical and Computer Modelling, Vol 31, pp 1-10
  • KARTAL, M., (1999), İstatistiksel Proses Kontrolu, Kariyer Matbaası, Ankara
  • KAYA, İ., ENGİN, O., (2003), “Kobilerde Kalite İyileştirme Süreci Ve Örnek Bir Uygulama”, TMMOB Makine Mühendisleri Odası Konya Şubesi Makine-Tasarım ve İmalat Teknolojileri Kongresi 26-27 Eylül 2003Konya .
  • KEATS, J.B., MISKULIN, R., (1995), “Statistical Process Control Scheme Design”, Journal of Quality Technology, Vol. 27, No 3, p. 214
  • KOBU, B., (1996), Üretim Yönetimi, Avcıol Basım, 9. Baskı, İstanbul
  • KÖKSALAN, M., ERKİP, N., MOSKOWITZ, H., (1999), “Explaining Beer Demand: A Residual Modeling Regression Approach Using Statistical Process Control”, International Journal of Production Economics, Vol 58, pp 265-276
  • KOLARIK, W. J., (1995), Creating Quality-Concepts, Systems, Strategis, and Tools, McGraw-HILL
  • KUMAR, S., GUPTA, Y.P., “Statistical Process Control At Motorola’s Austin Assembly Plant”, Interfaces, 23(2), 1993, pp 84-92
  • LEWIS, N.D.C., (1999), “Assessing The Evidence From The Use of SPC In Monitoring, Predicting & Improving Software Quality”, Computers & Industrial Engineering, Vol 37, pp 157-160
  • MORTELL, R, RUNGER, G., (1995), “Statistical Process Control of Multiple Stream Processes”, Journal of Quality Technology, Vol. 27,No. 1, p:1
  • RUNGTUSANATHAM M., (2000), “The Quality and Motivational Effects of Statistical Process Control”, Journal of Quality Management, Vol 4, No. 2, pp 243-246
  • RUNGTUSANATHAM, M., (2001), “Beyond Improved Quality: The Motivational Effects of Statistical Process Control”, Journal of Operations Management, Vol 19, pp 653-673.
  • SCHIPPERS, W.A.J., (1998), “Applicability of Statistical Process Control Techniques”, International Journal of Production Economics, Vol 56-57, pp 525-535.
  • SCHIPPERS, W.A.J., (2001), “An Integrated Approach to Process Control”, International Journal of Production Economics, Vol 69, pp 93-105.
  • STOVER, F.S., BRILL, R., (1998), “Statistical Quality Control Applied To Ion Chromatography Calibrations”, Journal of Chromatography, Vol 75, pp 161-172.
  • THOMSON, M., TWIGG, P. M., MAJEED, B. A., RUCK, N., (2000), “Statistical Process Control Based Fault Detection of CHP Units”, Control Engineering Practice, Vol 8, pp 13-20 .
  • WOODALL, W., MONTGOMERY, D., (1999), “Research Issues and Ideas in Statistical Process Control”, Journal of Quality Technology, Vol. 31, No 4
  • ZHANG, W., IGEL, B., (2001), “Managing The Product Development Of China's SPC Switch Industry as an Example of Cops”, Technovation, Vol 21, pp 361-368 .
  • ZORRIASSATINE, F., TANNOCK, J. D. T., O'BRIEN, D.C., (2003), “Using Novelty Detection to Identify Abnormalities Caused by Mean Shifts In Bivariate Processes”, Computers & Industrial Engineering, Vol 44, pp 385-408.

Year 2004, Issue: 11, 447 - 468, 01.02.2004

İhsan Kaya Abdullah Ağa

Abstract

Statistical Process Control SPC is the usage of statistical principles and techniques at all stages of the production, to provide the production of a product in the most economical and effective way. The most popular technique for this purpose is Ishikawa’s methods. Seven basic Ishikawa’s tools of SPC are; satisfaction, check sheet, histogram, Pareto Analysis, cause and effect diagram, scatter diagram and control chart. In this study, these techniques are explained shortly and effect of these techniques for quality improving process in engine and tractor factory. Factors which are impact quality improving process negatively are determined and cause and effect diagrams were suggested to eliminate them. And control charts were occurred to cleared process status

Keywords

Statistical Techniques Quality Improving

References

  • BENNEYAN, J.C., CHUTE, A.D., “SPC Process İmprovement and The Design PDCA Circle In Freight Administration”, Production And Inventory Management Journal, 34(1), 1993, pp 35-40
  • BESTERFIELD, D.H., (1998), Quality Control, Prentice Hall, New Jersey
  • BOZKURT, R., (1998), Kalite İyileştirme Araç ve Yöntemleri, Milli Prodüktivite Merkezi Yayınları No: 630, Ankara
  • CANTELLO, F.X., CHALMERS, J.E, EVANS, J.E., “Evolution To An Effective And Enduring SPC Systems”, Quality Progress, 23(2), 1990, pp 60-64
  • CHAUDRY, S.S., HIGBIE, J.R., , “Practical Implementation Of Statistical Process Control in Chemical Industry”, International Journal of Quality and Reliability Management, 6(5), 1989, pp 37-48
  • CINDIK, M., (1996), “İstatistiksel Yöntemlerin Kalite Kontrol Ve Kalite Güvencesindeki Önemi”, Standard Dergisi, Ağustos
  • CORBETT, C.J., PAN, J., (2002), “Evaluating Environmental Performance Using Statistical Process Control Techniques”, European Journal of Operational Research, Vol139, pp 68-83.
  • DALE, B.G., ELKJAER, M.B.F., WIELE, WILLIAMS, A. R. T., (2001), “Fad, Fashion And Fit: An Examination of Quality Circles, Business Process Re-Engineering And Statistical Process Control”, International Journal of Production Economics, Vol 73 ,pp 137-152.
  • DOGDU, S., SANTOS, D.L., (1998), “The Paradigm Shift in Statistical Process Control Due to The Latest Developments in Computer Technology”, Computers & Industrial Engineering, Vol 35, pp 177-180.
  • GARCIA-SANZ, M., GUILLÉN, J.C., IBARROLA, J.J., (2001), “Robust Controller Design for Uncertain Systems with Variable Time Delay”, Control Engineering Practice, Vol.9, pp 961-972.
  • GUH, R.S., TANNOCK, J.D.T., (1999), “IntelliSPC: A Hybrid Intelligent Tool for On-Line Economical Statistical Process Control”, Expert Systems with Applications, Vol.17,pp 195-212.
  • GÜMÜŞOĞLU, Ş., (2000), İstatistiksel Kalite Kontrolü ve Toplam Kalite Yönetim Araçları, Beta Yayınları, İstanbul
  • HONG M., G.Y., SHANMUGAN, (1999), “A Statistical Method for Controlling Software Defect Detection Process”, Computers & Industrial Engineering, Vol 37, pp 137-140.
  • HUANG, Q., ZHOU, S., SHI, J., (2002), “Diagnosis of Multi-Operational Machining Processes Through Variation Propagation Analysis”, Robotics and Computer-Integrated Manufacturing, Vol 18, pp 233-239.
  • JUGULUM, R., SEFİK, M., (1998), “Building A Robust Manufacturing Strategy”, Computers & Industrial Engineering, Vol 35, pp 225-228.
  • KAKURO A., (2000), “A Demonstrative Study of a New SQC Concept and Procedure in the Manufacturing Industry”, Mathematical and Computer Modelling, Vol 31, pp 1-10
  • KARTAL, M., (1999), İstatistiksel Proses Kontrolu, Kariyer Matbaası, Ankara
  • KAYA, İ., ENGİN, O., (2003), “Kobilerde Kalite İyileştirme Süreci Ve Örnek Bir Uygulama”, TMMOB Makine Mühendisleri Odası Konya Şubesi Makine-Tasarım ve İmalat Teknolojileri Kongresi 26-27 Eylül 2003Konya .
  • KEATS, J.B., MISKULIN, R., (1995), “Statistical Process Control Scheme Design”, Journal of Quality Technology, Vol. 27, No 3, p. 214
  • KOBU, B., (1996), Üretim Yönetimi, Avcıol Basım, 9. Baskı, İstanbul
  • KÖKSALAN, M., ERKİP, N., MOSKOWITZ, H., (1999), “Explaining Beer Demand: A Residual Modeling Regression Approach Using Statistical Process Control”, International Journal of Production Economics, Vol 58, pp 265-276
  • KOLARIK, W. J., (1995), Creating Quality-Concepts, Systems, Strategis, and Tools, McGraw-HILL
  • KUMAR, S., GUPTA, Y.P., “Statistical Process Control At Motorola’s Austin Assembly Plant”, Interfaces, 23(2), 1993, pp 84-92
  • LEWIS, N.D.C., (1999), “Assessing The Evidence From The Use of SPC In Monitoring, Predicting & Improving Software Quality”, Computers & Industrial Engineering, Vol 37, pp 157-160
  • MORTELL, R, RUNGER, G., (1995), “Statistical Process Control of Multiple Stream Processes”, Journal of Quality Technology, Vol. 27,No. 1, p:1
  • RUNGTUSANATHAM M., (2000), “The Quality and Motivational Effects of Statistical Process Control”, Journal of Quality Management, Vol 4, No. 2, pp 243-246
  • RUNGTUSANATHAM, M., (2001), “Beyond Improved Quality: The Motivational Effects of Statistical Process Control”, Journal of Operations Management, Vol 19, pp 653-673.
  • SCHIPPERS, W.A.J., (1998), “Applicability of Statistical Process Control Techniques”, International Journal of Production Economics, Vol 56-57, pp 525-535.
  • SCHIPPERS, W.A.J., (2001), “An Integrated Approach to Process Control”, International Journal of Production Economics, Vol 69, pp 93-105.
  • STOVER, F.S., BRILL, R., (1998), “Statistical Quality Control Applied To Ion Chromatography Calibrations”, Journal of Chromatography, Vol 75, pp 161-172.
  • THOMSON, M., TWIGG, P. M., MAJEED, B. A., RUCK, N., (2000), “Statistical Process Control Based Fault Detection of CHP Units”, Control Engineering Practice, Vol 8, pp 13-20 .
  • WOODALL, W., MONTGOMERY, D., (1999), “Research Issues and Ideas in Statistical Process Control”, Journal of Quality Technology, Vol. 31, No 4
  • ZHANG, W., IGEL, B., (2001), “Managing The Product Development Of China's SPC Switch Industry as an Example of Cops”, Technovation, Vol 21, pp 361-368 .
  • ZORRIASSATINE, F., TANNOCK, J. D. T., O'BRIEN, D.C., (2003), “Using Novelty Detection to Identify Abnormalities Caused by Mean Shifts In Bivariate Processes”, Computers & Industrial Engineering, Vol 44, pp 385-408.
There are 34 citations in total.

Details

Primary Language Turkish
Journal Section Research Articles
Authors

İhsan Kaya This is me

Abdullah Ağa This is me

Publication Date February 1, 2004
Published in Issue Year 2004 Issue: 11

Cite

APA Kaya, İ., & Ağa, A. (2004). KALİTE İYİLEŞTİRME SÜRECİNİN YEDİTEMEL ARACI VE MOTOR-TRAKTÖR İMALATI YAPAN BİR İŞLETMEDE UYGULANMASI. Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi(11), 447-468.

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