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YALIN ÜRETİM UYGULAMALARINDA KARŞILAŞILAN ENGELLERİN GRİ DEMATEL BÜTÜNLEŞİK YAKLAŞIMIYLA ANALİZİ

Year 2019, Volume: 17 Issue: 3, 1 - 18, 30.09.2019

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.

References

  • 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.
  • 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.
  • 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.
  • 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.
  • Bamber, L., & Dale, B. G. (2000). Lean production: a study of application in a traditional manufacturing environment. Production Planning & Control, 11(3), 291-298.
  • 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.
  • Bhasin, S. (2012). Prominent obstacles to lean. International Journal of Productivity and Performance Management, 61(4), 403-425.
  • Bollbach, M. (2012). Country-specific barriers to implementing lean production systems in China (Doctoral dissertation).
  • 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.
  • 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.
  • 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.
  • 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.
  • De Souza, L. B., & Pidd, M. (2011). Exploring the barriers to lean health car implementation. Public Money & Management, 31(1), 59-66.
  • Deng, J. (1989). Introduction to Grey System Theory. Journal of Grey Systems, 1(1), 1-24.
  • 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.
  • Fu, X., & Zhu, Q. (2010). A Grey-Dematel Methodology for Green Supplier Development Program Evaluation. Clark University, George Perkins Marsh Institute, WP2010–15.
  • Karlsson, C., & Ahlström, P. (1996). Assessing Changes towards Lean Production. International Journal of Operations & Productions Management. 16(2): 24-41.
  • 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.
  • 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.
  • Liu, S., & Lin, Y. (2006), Grey Information: Theory and Practical Applications, Springer Verlag, London.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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
  • 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.
  • 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.
  • 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.
  • 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.
  • Wu, W. W., & Lee, Y. T. (2007). Developing global managers' competencies using the fuzzy DEMATEL method. Expert Systems with Applications, 32(2), 499-507.
  • 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.

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

Year 2019, Volume: 17 Issue: 3, 1 - 18, 30.09.2019

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.

References

  • 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.
  • 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.
  • 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.
  • 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.
  • Bamber, L., & Dale, B. G. (2000). Lean production: a study of application in a traditional manufacturing environment. Production Planning & Control, 11(3), 291-298.
  • 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.
  • Bhasin, S. (2012). Prominent obstacles to lean. International Journal of Productivity and Performance Management, 61(4), 403-425.
  • Bollbach, M. (2012). Country-specific barriers to implementing lean production systems in China (Doctoral dissertation).
  • 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.
  • 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.
  • 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.
  • 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.
  • De Souza, L. B., & Pidd, M. (2011). Exploring the barriers to lean health car implementation. Public Money & Management, 31(1), 59-66.
  • Deng, J. (1989). Introduction to Grey System Theory. Journal of Grey Systems, 1(1), 1-24.
  • 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.
  • Fu, X., & Zhu, Q. (2010). A Grey-Dematel Methodology for Green Supplier Development Program Evaluation. Clark University, George Perkins Marsh Institute, WP2010–15.
  • Karlsson, C., & Ahlström, P. (1996). Assessing Changes towards Lean Production. International Journal of Operations & Productions Management. 16(2): 24-41.
  • 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.
  • 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.
  • Liu, S., & Lin, Y. (2006), Grey Information: Theory and Practical Applications, Springer Verlag, London.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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
  • 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.
  • 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.
  • 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.
  • 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.
  • Wu, W. W., & Lee, Y. T. (2007). Developing global managers' competencies using the fuzzy DEMATEL method. Expert Systems with Applications, 32(2), 499-507.
  • 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.
There are 33 citations in total.

Details

Primary Language Turkish
Journal Section Articles
Authors

Ejder Ayçin 0000-0002-0153-8430

Publication Date September 30, 2019
Published in Issue Year 2019 Volume: 17 Issue: 3

Cite

APA Ayçin, E. (2019). YALIN ÜRETİM UYGULAMALARINDA KARŞILAŞILAN ENGELLERİN GRİ DEMATEL BÜTÜNLEŞİK YAKLAŞIMIYLA ANALİZİ. Yönetim Ve Ekonomi Araştırmaları Dergisi, 17(3), 1-18.
AMA Ayçin E. YALIN ÜRETİM UYGULAMALARINDA KARŞILAŞILAN ENGELLERİN GRİ DEMATEL BÜTÜNLEŞİK YAKLAŞIMIYLA ANALİZİ. Yönetim ve Ekonomi Araştırmaları Dergisi. September 2019;17(3):1-18.
Chicago Ayçin, Ejder. “YALIN ÜRETİM UYGULAMALARINDA KARŞILAŞILAN ENGELLERİN GRİ DEMATEL BÜTÜNLEŞİK YAKLAŞIMIYLA ANALİZİ”. Yönetim Ve Ekonomi Araştırmaları Dergisi 17, no. 3 (September 2019): 1-18.
EndNote Ayçin E (September 1, 2019) YALIN ÜRETİM UYGULAMALARINDA KARŞILAŞILAN ENGELLERİN GRİ DEMATEL BÜTÜNLEŞİK YAKLAŞIMIYLA ANALİZİ. Yönetim ve Ekonomi Araştırmaları Dergisi 17 3 1–18.
IEEE E. Ayçin, “YALIN ÜRETİM UYGULAMALARINDA KARŞILAŞILAN ENGELLERİN GRİ DEMATEL BÜTÜNLEŞİK YAKLAŞIMIYLA ANALİZİ”, Yönetim ve Ekonomi Araştırmaları Dergisi, vol. 17, no. 3, pp. 1–18, 2019.
ISNAD Ayçin, Ejder. “YALIN ÜRETİM UYGULAMALARINDA KARŞILAŞILAN ENGELLERİN GRİ DEMATEL BÜTÜNLEŞİK YAKLAŞIMIYLA ANALİZİ”. Yönetim ve Ekonomi Araştırmaları Dergisi 17/3 (September 2019), 1-18.
JAMA Ayçin E. YALIN ÜRETİM UYGULAMALARINDA KARŞILAŞILAN ENGELLERİN GRİ DEMATEL BÜTÜNLEŞİK YAKLAŞIMIYLA ANALİZİ. Yönetim ve Ekonomi Araştırmaları Dergisi. 2019;17:1–18.
MLA Ayçin, Ejder. “YALIN ÜRETİM UYGULAMALARINDA KARŞILAŞILAN ENGELLERİN GRİ DEMATEL BÜTÜNLEŞİK YAKLAŞIMIYLA ANALİZİ”. Yönetim Ve Ekonomi Araştırmaları Dergisi, vol. 17, no. 3, 2019, pp. 1-18.
Vancouver Ayçin E. YALIN ÜRETİM UYGULAMALARINDA KARŞILAŞILAN ENGELLERİN GRİ DEMATEL BÜTÜNLEŞİK YAKLAŞIMIYLA ANALİZİ. Yönetim ve Ekonomi Araştırmaları Dergisi. 2019;17(3):1-18.