Research Article
ENDÜSTRİ İŞLETMELERİNDE KAİZEN ÇALIŞMALARININ ETKİNLİKLERİNİN VERİ ZARFLAMA ANALİZİ İLE DEĞERLENDİRİLMESİNE YÖNELİK BİR UYGULAMA
Abstract
Kaizen uygulamaları, işletmelerde küçük
adımlarla sürekli iyileştirme olanağı sağlayan araçlar olarak tanımlanmaktadır.
İşletmelerde yapılan iyileştirme çalışmaları başta maliyetli olarak görünse de,
sonuçta işletmeye kazandıracağı olumlu gelişmeler değerlendirildiğinde faydalı
görülmektedir. Uygulamada Kaizen çalışmalarının değerlendirilmesi için fayda –
maliyet analizinden yararlanılmaktadır. Bu çalışmada Kaizen uygulamalarının
performans değerlemesi için Veri Zarflama Analizi kullanılmaktadır. Bir üretim
işletmesinde hali hazırda aktif olan Hızlı, Standart ve Majör Kaizen olmak
üzere 31 Kaizen uygulaması ele alınarak birbirlerine göre göreceli etkinlikleri
ortaya koyulmuştur. 2 Majör Kaizen, 2 Standart Kaizen olarak 4 Kaizen etkin
skor değerine sahip çıkmıştır. Farklı Kaizen türleri kendi içlerinde
değerlendirmeye alındığında ise bu sayılarda ve etkin skor değerlerinde
değişiklikler meydana gelmiştir.
Keywords
References
- Al Smadi, S. 2009. Kaizen strategy and the drive for competitiveness: challenges and opportunities competitiveness review. An International Business Journal, 19(3): 203-211.Al-Shammari, M. 1999. Optimization modeling for estimating and enhancing relative efficiency with application to ındustrial companies. European Journal of Operational Research, 115(3): 488-496.Baker, R. C., & Talluri, S. 1997. A closer look at the use of data envelopment analysis for technology selection. Computers & Industrial Engineering, 32(1): 101-108.Berger, A. N., & David B. H. 1992. Measurement and efficiency ıssues in commercial banking in output measurement in the service sectors. University of Chicago Press, 245-300.Cao, Q., & James J. H. 2011. A case study approach for developing a project performance evaluation system” International Journal of Project Management, 29(23): 155-164.Charnes, A., William W. C., & Edwardo R. 1978. Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6): 429-444. Doyle, J., & Rodney G. 1994. Efficiency and cross-efficiency in dea: derivations, meanings and uses. Journal of The Operational Research Society, 45(5): 567-578.Farris, J. A., Groesbeck, R. L., Van Aken, E. M., & Letens, G. 2006. Evaluating the relative performance of engineering design projects: a case study using data envelopment analysis. IEEE Transactions on Engineering Management, 53(3): 471-482.Farris, J.A., Van Aken, E.M., Doolen, T.L., & Worley, J. 2009. Critical success factors for human resource outcomes in kaizen events: an empirical study. International Journal of Production Economics, 117(1): 42-6.Imai, M. 1986. Kaizen. New York: Random House Business Division.Karasakal, E., & Aker, P. 2016. A multicriteria sorting approach based on data envelopment analysis for R&D project selection problem” Omega, Omega. 73: 79–92Kirby, K. E., Bradley M. G., & Smyrna, T. N. 2003. How value stream type affects the adoption of lean production tools and techniques. Proceedings of The 2003 Industrial Engineering and Research Conference, Portland, or, May 18-20. Lall, V., & Sunantha T. 2006. Enterprise Resource Planning (ERP) system selection: a data envelopment anaysis (DEA) approach. Journal of Computer Information Systems, 47(1): 123-127.Lall, V., Ruth L., & Abel M. 2012. Selection and prioritization of projects: a data envelopment analysis (DEA) approach. Indian Journal of Economics and Business, 11(2).Linton, J. D., Morabito, J., & Yeomans, J. S. 2007. An extension to a DEA support system used for assessing R&D projects. R&D Management, 37(1): 29-36.Manos, A. 2007. The benefits of kaizen and kaizen events. Quality Progress, 40(29): 47.Ramanathan, R. 2003. An ıntroduction to data envelopment analysis: a tool for performance measurement, Sage.Sarı, E. B. 2018A. Organize sanayi bölgelerinin etkinliklerinin veri zarflama analizi ile değerlendirilmesi, Ekonomi Bilimleri Dergisi, 10(2): 17-32.Sarı, E., B. 2018B. Dünya Klasında Üretim (WCM) World Class Manufacturing. Detay Yayıncılık, Ankara. Sheridan, J., H. 1997. Kaizen blitz, Industry Week, 246(16): 18-27.Sueyoshii, T. 1992. Measuring the industrial performance of Chinese cities by data envelopment analysis. Socio-Economic Planning Sciences, 26(2): 75-88.Vasilash, G.,S. 1997. Getting better—fast, Automotive Design & Production, 109(8): 66-68.Vitner, G., Shai R., & Stuart S.T. 2006. Using data envelopement analysis to compare project efficiency in a multi-project environment. International Journal of Project Management, 24(4): 323-329.Xu, Y., & Chung-Hsing Y. 2011. Evaluating the performance effectiveness and efficiency of projects. In Industrial Electronics And Applications (ICIEA), 2011 6th IEEE Conference On (1090-1094).Yüksel, H. 2012. Evaluation of the success of six sigma projects by data envelopment analysis. International Journal of Business and Management, 7(3): 75.
Year 2019,
Volume: 7 Issue: 1, 95 - 114, 15.07.2019
Abstract
References
- Al Smadi, S. 2009. Kaizen strategy and the drive for competitiveness: challenges and opportunities competitiveness review. An International Business Journal, 19(3): 203-211.Al-Shammari, M. 1999. Optimization modeling for estimating and enhancing relative efficiency with application to ındustrial companies. European Journal of Operational Research, 115(3): 488-496.Baker, R. C., & Talluri, S. 1997. A closer look at the use of data envelopment analysis for technology selection. Computers & Industrial Engineering, 32(1): 101-108.Berger, A. N., & David B. H. 1992. Measurement and efficiency ıssues in commercial banking in output measurement in the service sectors. University of Chicago Press, 245-300.Cao, Q., & James J. H. 2011. A case study approach for developing a project performance evaluation system” International Journal of Project Management, 29(23): 155-164.Charnes, A., William W. C., & Edwardo R. 1978. Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6): 429-444. Doyle, J., & Rodney G. 1994. Efficiency and cross-efficiency in dea: derivations, meanings and uses. Journal of The Operational Research Society, 45(5): 567-578.Farris, J. A., Groesbeck, R. L., Van Aken, E. M., & Letens, G. 2006. Evaluating the relative performance of engineering design projects: a case study using data envelopment analysis. IEEE Transactions on Engineering Management, 53(3): 471-482.Farris, J.A., Van Aken, E.M., Doolen, T.L., & Worley, J. 2009. Critical success factors for human resource outcomes in kaizen events: an empirical study. International Journal of Production Economics, 117(1): 42-6.Imai, M. 1986. Kaizen. New York: Random House Business Division.Karasakal, E., & Aker, P. 2016. A multicriteria sorting approach based on data envelopment analysis for R&D project selection problem” Omega, Omega. 73: 79–92Kirby, K. E., Bradley M. G., & Smyrna, T. N. 2003. How value stream type affects the adoption of lean production tools and techniques. Proceedings of The 2003 Industrial Engineering and Research Conference, Portland, or, May 18-20. Lall, V., & Sunantha T. 2006. Enterprise Resource Planning (ERP) system selection: a data envelopment anaysis (DEA) approach. Journal of Computer Information Systems, 47(1): 123-127.Lall, V., Ruth L., & Abel M. 2012. Selection and prioritization of projects: a data envelopment analysis (DEA) approach. Indian Journal of Economics and Business, 11(2).Linton, J. D., Morabito, J., & Yeomans, J. S. 2007. An extension to a DEA support system used for assessing R&D projects. R&D Management, 37(1): 29-36.Manos, A. 2007. The benefits of kaizen and kaizen events. Quality Progress, 40(29): 47.Ramanathan, R. 2003. An ıntroduction to data envelopment analysis: a tool for performance measurement, Sage.Sarı, E. B. 2018A. Organize sanayi bölgelerinin etkinliklerinin veri zarflama analizi ile değerlendirilmesi, Ekonomi Bilimleri Dergisi, 10(2): 17-32.Sarı, E., B. 2018B. Dünya Klasında Üretim (WCM) World Class Manufacturing. Detay Yayıncılık, Ankara. Sheridan, J., H. 1997. Kaizen blitz, Industry Week, 246(16): 18-27.Sueyoshii, T. 1992. Measuring the industrial performance of Chinese cities by data envelopment analysis. Socio-Economic Planning Sciences, 26(2): 75-88.Vasilash, G.,S. 1997. Getting better—fast, Automotive Design & Production, 109(8): 66-68.Vitner, G., Shai R., & Stuart S.T. 2006. Using data envelopement analysis to compare project efficiency in a multi-project environment. International Journal of Project Management, 24(4): 323-329.Xu, Y., & Chung-Hsing Y. 2011. Evaluating the performance effectiveness and efficiency of projects. In Industrial Electronics And Applications (ICIEA), 2011 6th IEEE Conference On (1090-1094).Yüksel, H. 2012. Evaluation of the success of six sigma projects by data envelopment analysis. International Journal of Business and Management, 7(3): 75.
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Details
| Primary Language | Turkish |
|---|---|
| Journal Section | ARTICLES |
| Authors | |
| Publication Date | July 15, 2019 |
| Submission Date | February 28, 2019 |
| Acceptance Date | July 13, 2019 |
| Published in Issue | Year 2019 Volume: 7 Issue: 1 |