YALIN ÜRETİM UYGULAMALARINDA KARŞILAŞILAN ENGELLERİN GRİ DEMATEL BÜTÜNLEŞİK YAKLAŞIMIYLA ANALİZİ

Abstract

Yoğun rekabetin olduğu günümüz koşullarında artan ve sürekli değişen müşteri talepleri karşısında işletmeler, üretim sistemlerinin müşteri odaklı, yüksek kaliteli ve aynı zamanda düşük maliyetli olmasını sağlamalıdır. Özellikler küresel faaliyet gösteren şirketler, envanter azaltmaya, süreç verimliliğini artırmaya ve israfı ortadan kaldırmaya yönelik yalın üretim sistemleri ile hedeflerine ulaşmaya çalışmaktadır. Yalın üretim sistemlerinin işletmelerde nasıl başarılı bir şekilde uygulanabileceğine dair bir tespit ortaya koymak amacıyla bu çalışmada, bu sistemlerin uygulanmasının önündeki temel engeller incelemiştir. Bu amaç doğrultusunda belirsiz ve karmaşık kararları kesin sayısal değerler ile betimleyebilen, kriterler arasındaki ilişkileri ve önem düzeylerini tespit edebilen için gri sistem teorisi ile DEMATEL yaklaşımı bütünleşik olarak ele alınmıştır. Bulgular ile yalın üretim uygulamalarında karşılaşılan engeller arasındaki karşılıklı ilişkileri ortaya koyularak ve en önemli engeller belirlenmiştir. Makale sonuçlarının işletmelere ve yöneticilere, yalın üretim uygulamalarında karşılaşılabilecek engellerin belirlenmesinde uygulanabilecek bir model önerisiyle yardımcı olacağı düşünülmektedir.

Keywords

• Yalın Üretim,Gri Sistem Teorisi,DEMATEL

ANALYZING BARRIERS ENCOUNTERED IN LEAN MANUFACTURING APPLICATIONS BY THE GREY DEMATEL INTEGRATED APPROACH

Abstract

In today's highly competitive market conditions, enterprises must ensure that their production systems are customer focused, high quality and at the same time low cost. The global companies are trying to achieve their goals with lean manufacturing systems aimed at reducing inventory, increasing process efficiency and eliminating wastage. In this study, we have examined the key barriers to the implementation of lean manufacturing systems in order to identify how they can be successfully implemented in enterprises. For this purpose, the grey system theory and the DEMATEL approach are integrated in order to determine the relations and importance levels between the criterions, which can represent uncertain and complex decisions with definite numerical values. The most important obstacles have been identified by demonstrating the mutual relations between the findings and the obstacles encountered in lean production practices. It is believed that the results of the article will help the enterprises and managers to propose a model that can be applied in the determination of the obstacles that can be encountered in lean production applications.

Keywords

• Lean Manufacturing,Grey Systems Theory,DEMATEL

References

1. Achanga, P., Shehab, E., Roy, R., & Nelder, G. (2006). Critical success factors for lean implementation within SMEs. Journal of Manufacturing Technology Management, 17(4), 460-471.
2. Aksakal, E., & Dağdeviren, M. (2010). ANP ve DEMATEL Yöntemleri ile Personel Seçimi Problemine Bütünleşik Bir Yaklaşım. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi. 25(4): 905-913.
3. Bai, C., & Sarkis, J. (2010). Integrating sustainability into supplier selection with grey system and rough set methodologies. International Journal of Production Economics, 124(1), 252-264.
4. Bai, C., & Sarkis, J. (2013). A grey-based DEMATEL model for evaluating business process management critical success factors. International Journal of Production Economics, 146(1), 281-292.
5. Bamber, L., & Dale, B. G. (2000). Lean production: a study of application in a traditional manufacturing environment. Production Planning & Control, 11(3), 291-298.
6. Bednarek, M., & Luna, L. F. N. (2008). The selected problems of lean manufacturing implementation in Mexican SMEs. In Lean Business Systems and Beyond (pp. 239-247). Springer, Boston, MA.
7. Bhasin, S. (2012). Prominent obstacles to lean. International Journal of Productivity and Performance Management, 61(4), 403-425.
8. Bollbach, M. (2012). Country-specific barriers to implementing lean production systems in China (Doctoral dissertation).

9. Bonavia, T., & Marin, J. A. (2006). An empirical study of lean production in the ceramic tile industry in Spain. International Journal of Operations & Production Management, 26(5), 505-531.
10. Chen, C. H., & Tzeng, G.H. (2011). Assessment Model for Improving Educational Curriculum Materials Based on The DANP Technique with Grey Relational Analysis. International Journal of Information Systems for Logistics and Management. 6(2): 23-36.
11. Chen, F. H., Hsu, T. S., & Tzeng, G. H. (2011). A Balanced Scorecard Approach to Establish a Performance Evaluation and Relationship Model for Spring Hotels Based on a Hybrid MCDM Model Combining DEMATEL and ANP. International Journal of Hospitality Management. 30: 908-932.
12. Čiarnienė, R., & Vienažindienė, M. (2013). Lean manufacturing implementation: the main chalenges and barriers. Management Theory and Studies for Rural Business and Infrastructure Development, 35(1), 43-49.
13. De Souza, L. B., & Pidd, M. (2011). Exploring the barriers to lean health car implementation. Public Money & Management, 31(1), 59-66.
14. Deng, J. (1989). Introduction to Grey System Theory. Journal of Grey Systems, 1(1), 1-24.
15. Dou, Y., Zhu, Q., & Sarkis, J. (2014), Evaluating green supplier development programs with a grey-analytical network process-based methodology. European Journal of Operational Research, Vol. 233 No. 2, pp. 420-431.
16. Fu, X., & Zhu, Q. (2010). A Grey-Dematel Methodology for Green Supplier Development Program Evaluation. Clark University, George Perkins Marsh Institute, WP2010–15.
17. Karlsson, C., & Ahlström, P. (1996). Assessing Changes towards Lean Production. International Journal of Operations & Productions Management. 16(2): 24-41.
18. Li, C. W. & Tzeng, G. H. (2009). Identification of a Threshold Value for the DEMATEL Method Using the Maximum Mean De-Entropy Algorithm to Find Critical Services Provided by A Semiconductor Intellectual Property Mall. Expert Systems with Applications. 36(6): 9891-9898.
19. Li, P., Tan, T. C., & Lee, J. Y. (1997). Grey Relational Analysis of Amine Inhibition of Mild Steel Corrosion in Acids. Corrosion, 53(3), 186-194.
20. Liu, S., & Lin, Y. (2006), Grey Information: Theory and Practical Applications, Springer Verlag, London.
21. Manzouri, M., Rahman, M. N. A., Arshad, H., & Ismail, A. R. (2010). Barriers of supply chain management implementation in manufacturing companies: a comparison between Iranian and Malaysian companies. Journal of the Chinese Institute of Industrial Engineers, 27(6), 456-472.
22. Nordin, N., Deros, B. M., & Wahab, D. A. (2010). A survey on lean manufacturing implementation in Malaysian automotive industry. International Journal of Innovation, Management and Technology, 1(4), 374.
23. Opricovic, S., & Tzeng, G. H. (2003). Defuzzification within a multicriteria decision model. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 11(5): 635-652.
24. R. Jadhav, J., S. Mantha, S., & B. Rane, S. (2014). Exploring barriers in lean implementation. International Journal of Lean Six Sigma, 5(2), 122-148.
25. Scherrer-Rathje, M., Boyle, T. A., & Deflorin, P. (2009). Lean, take two! Reflections from the second attempt at lean implementation. Business Horizons, 52(1), 79-88.
26. Second, B. (2010). The Barriers to SMEs' Implementation of Lean Production and Counter measures-Based on SMS in Wenzhou. International Journal of Innovation, Management and Technology, 1(2), 220.
27. Tseng, M. L., & Lin, Y. H. (2009). Application of Fuzzy DEMATEL to Develop a Cause and Effect Model of Municipal Solid Waste Management in Metro Manila. Environmental Monitoring and Assessment. 158: 519-533
28. Tseng, M. L. (2009). A causal and effect decision making model of service quality expectation using grey-fuzzy DEMATEL approach. Expert Systems with Applications, 36(4): 7738-7748.
29. Tzeng, G. H., Chiang, C.H., & Li, C.W. (2007). Evaluating Intertwined Effects in E-Learning Programs: A Novel Hybrid MCDM Model Based nn Factor Analysis and DEMATEL. Expert systems with Applications. 32(4): 1028-1044.
30. Wang, Y. L. & Tzeng, G. H. (2012). Brand Marketing for Creating Brand Value Based on A MCDM Model Combining DEMATEL with ANP and VIKOR Methods. Expert Systems with Applications. 39: 5600-5615.
31. Worley, J. M., & Doolen, T. L. (2006). The role of communication and management support in a lean manufacturing implementation. Management Decision, 44(2), 228-245.
32. Wu, W. W., & Lee, Y. T. (2007). Developing global managers' competencies using the fuzzy DEMATEL method. Expert Systems with Applications, 32(2), 499-507.
33. Xia, X., Govindan, K., & Zhu, Q. (2015). Analyzing internal barriers for automotive parts remanufacturers in China using grey-DEMATEL approach. Journal of Cleaner Production, 87(1): pp. 811-825.