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TEDARİK ZİNCİRİ İZLENEBİLİRLİĞİNİN ÖNÜNDEKİ ENGELLERİN DEMATEL YÖNTEMİYLE DEĞERLENDİRİLMESİ

Year 2021, Volume: 6 Issue: 2, 357 - 380, 23.12.2021
https://doi.org/10.54452/jrb.942000

Abstract

Kusurlu üretimin neden olduğu zararlar, insan sağlığını tehdit eden ürünler ve müşterilerin şeffaflık talepleri dikkatleri tedarik zinciri izlenebilirliği (TZİ) konusuna çekmiştir. Bunun bir sonucu olarak da işletmeler, tedarik zincirlerinde etkin bir izlenebilirlik kurmanın yollarını aramaya başlamışlardır. Bu süreçte izlenebilirliğin başarısını engelleyen faktörlerin anlaşılması, TZİ’nin etkinliği açısından önemli bir konudur. Bu çalışmanın amacı, tedarik zinciri izlenebilirliğinin önündeki engelleri listelemek, bu engeller arasındaki ilişkileri ve etkileşimleri ortaya çıkarmak ve diğer engelleri etkileyen en kritik engelleri belirlemektir. Kritik engellerin ortaya çıkartılması, kaynakların doğru noktalara aktarılması konusunda işletmelere yardımcı olacaktır. Çünkü kritik bir engelde yapılabilecek iyileştirmeler, tüm sistemi etkileme potansiyeline sahiptir. Bu çalışmada, TZİ engellerini belirleyebilmek için ilk aşamada literatür taraması yapılarak engeller listelenmiş ve daha sonra uzman görüşleri doğrultusunda araştırmada kullanılacak 18 engel belirlenmiştir. Anket 20 işletmeye uygulanmış ve elde edilen veriler DEMATEL yöntemiyle analiz edilerek engeller, neden-sonuç kategorisine ayrılmıştır.

References

  • Alfaro, J., & Ra´bade, L. (2009). Traceability as a strategic tool to improve inventory management: A case study in the food industry. International Journal of Production Economic, 118, 104-110.
  • Aung, M., & Chang, Y. (2014). Traceability in a food supply chain: Safety and quality perspectives. Food Control, 39, 172-184. Ayçin, E. (2020). Çok Kriterli Karar Verme: Bilgisayar Uygulamalı Çözümler. Ankara: Nobel.
  • Ayçin, E., & Özveri, O. (2016). Yalın üretim uygulamalarında israfın azaltılması ile performans ölçütleri arasındaki ilişkilerin ve etkileşimin DEMATEL yöntemiyle analizi. Akademik Sosyal Araştırmalar Dergisi, 35, 325-353.
  • Bechini, A., Cimino, M., Marcelloni, F., & Tomasi, A. (2008). Patterns and technologies for enabling supply chain traceability through collaborative e-business . Information and Software Technology, 50, 342–359.
  • Bosona, T., & Gebresenbet, G. (2013). Food traceability as an integral part of logistics management in food and agricultural supply chain. Food Control, 33, 32-48.
  • Çelikbilek, Y. (2018). Çok Kriterli Karar Verme Yöntemleri. Ankara: Nobel.
  • Dediu, L., Moga, L., & Cristea, V. (2016). The barriers for the adoption of traceability systems by Romanian fish farms. AACL Bioflux, 9(6), 1323-1330.
  • Donnelly, K. A., & Olsen, P. (2012). Catch to landing traceability and the effects of implementation-A case study from the Norwegian white fish sector. Food Control, 27, 228-233.
  • Duan, Y., Miao, M., Wang, R., Fu, Z., & Xu, M. (2017). A framework for the successful implementation of food traceability systems in China. The Information Society, 33(4), 226-242.
  • Folinas, D., Manikas, I., & Manos, B. (2006). Traceability data management for food chains. British Food Journal, 108(8), 622-633.
  • Gunawan, I., Vanany, I., & Widodo, E. (2021). Typical traceability barriers in the Indonesian vegetable oil industry. British Food Journal, 123(3), 1223-1248.
  • Haleem, A., Khan, S., & Khan, M. I. (2019). Traceability implementation in food supply chain: A grey-DEMATEL approach. Information Processing in Agriculture, 6, 335-348.
  • Karlsen , K., Sørensen, C., Forås, F., & Olsen, P. (2011). Critical criteria when implementing electronic chain traceability in a fish supply chain. Food Control, 22(8), 1339-1347.
  • Liao, P., Chang, H., & Chang, C. (2011). Why is the food traceability system unsuccessful in Taiwan? Empirical evidence from a national survey of fruit and vegetable farmers. Food Policy, 36, 686-693.
  • Mattevi, M., & Jones, J. (2016). Food supply chain: are UK SMEs aware of concept, drivers, benefits and barriers, and frameworks of traceability? British Food Journal, 118(5). https://doi.org/10.1108/BFJ-07-2015-0261.
  • Morana, J. (2016). Barriers and dangers of traceability. Rencontres Internationales de Recherche en Logis-tique et Supply Chain Management. Switzerland.
  • Olsen, P., & Borit, M. (2018). The components of a food traceability system. Trends in Food Science & Technology, 77, 143-149.
  • Özceylan, E. (2020). DEMATEL (Decision Making Trial and Evaluation Laboratory) Yöntemi ile Lojistik Performans Endeksi Kriterlerinin Değerlendirilmesi. M. Kabak, & Y. Çınar içinde, Çok Kriterli Karar Verme Yöntemleri: MS Excel Çözümlü Uygulamalar (s. 61-75). Ankara: Nobel.
  • Potdar, K., Routroy, S., & Behera, A. (2017). Analyzing the agile manufacturing barriers using fuzzy DEMATEL. Benchmarking: An International, 24(7), 1912-1936.
  • Regan, G., McCaffery, F., Daid, K., & Flood, D. (2012). The barriers to traceability and their potential solutions: Towards a reference framework. 38th Euromicro Conference on Software Engineering and Advanced Applications (s. 319-322). Cesme: IEEE.
  • Rombe, E., Mubaraq, R., Hadi, S., Adriansyah, R., & Vesakha, G. (2018). Barriers and drivers for applying fish traceability system in emerging market. International Journal of Engineering & Technology, 7, 262-264.
  • Senneset, G., Foras, E., & Fremme, K. (2007). Challenges regarding implementation of electronic chain traceability. British Food Journal, 109(10), 805-818.
  • Singh, C., Singh, D., & Khamba, J. (2021). Analyzing barriers of green lean practices in manufacturing industries by DEMATEL approach. Journal of Manufacturing Technology Management, 32(1), 176-198.
  • Skilton, P., & Robinson, J. (2009). Traceability and normal accident theory: How does supply network complexity influence the traceability of adverse events. Journal of Supply Chain Management, 45(3), 40-53.
  • Song, W., Zhu, Y., & Zhao, Q. (2020). Analyzing barriers for adopting sustainable online consumption: A rough hierarchical DEMATEL method. Computers & Industrial Engineering, 140. https://doi.org/10.1016/j.cie.2020.106279.
  • Storøy, J., Thakur, M., & Olsen, P. (2013). The TraceFood Framework – Principles and guidelines for implementing traceability in food value chains. Journal of Food Engineering, 115, 41-48.
  • Xue, L., Weiwei, G., Zettan, F., Peng, X., & Weiguang, L. (2007). Traceability and IT: Implications for the future international competitiveness and structure of China's vegetable sector. New Zealand Journal of Agricultural Research, 50(5), 911-917.

EVALUATING THE BARRIERS TO SUPPLY CHAIN TRACEABILITY WITH DEMATEL METHOD

Year 2021, Volume: 6 Issue: 2, 357 - 380, 23.12.2021
https://doi.org/10.54452/jrb.942000

Abstract

Damages caused by defective production, products harmful to human health, and customer demands for transparency have drawn attention to supply chain traceability (SCT). As a result, businesses have begun to look for ways to establish effective traceability in their supply chains. In this process, it is very important to understand the factors that prevent the success and effectiveness of SCT. This study aimed to list the barriers to supply chain traceability, to reveal the relationships and interactions between these barriers, and to identify the most critical barriers affecting others. Revealing critical barriers will help businesses to transfer their resources to proper fields. Because improvements in a critical barrier have a potential to affect the entire system. In this study, firstly a literature review was performed to determine SCT barriers, and then a total of 18 barriers to be used in the study were determined in line with expert opinions. The questionnaire was applied to a total of 20 enterprises and the data obtained from them were analyzed using the DEMATEL method, whereby the barriers were divided into cause-effect category.

References

  • Alfaro, J., & Ra´bade, L. (2009). Traceability as a strategic tool to improve inventory management: A case study in the food industry. International Journal of Production Economic, 118, 104-110.
  • Aung, M., & Chang, Y. (2014). Traceability in a food supply chain: Safety and quality perspectives. Food Control, 39, 172-184. Ayçin, E. (2020). Çok Kriterli Karar Verme: Bilgisayar Uygulamalı Çözümler. Ankara: Nobel.
  • Ayçin, E., & Özveri, O. (2016). Yalın üretim uygulamalarında israfın azaltılması ile performans ölçütleri arasındaki ilişkilerin ve etkileşimin DEMATEL yöntemiyle analizi. Akademik Sosyal Araştırmalar Dergisi, 35, 325-353.
  • Bechini, A., Cimino, M., Marcelloni, F., & Tomasi, A. (2008). Patterns and technologies for enabling supply chain traceability through collaborative e-business . Information and Software Technology, 50, 342–359.
  • Bosona, T., & Gebresenbet, G. (2013). Food traceability as an integral part of logistics management in food and agricultural supply chain. Food Control, 33, 32-48.
  • Çelikbilek, Y. (2018). Çok Kriterli Karar Verme Yöntemleri. Ankara: Nobel.
  • Dediu, L., Moga, L., & Cristea, V. (2016). The barriers for the adoption of traceability systems by Romanian fish farms. AACL Bioflux, 9(6), 1323-1330.
  • Donnelly, K. A., & Olsen, P. (2012). Catch to landing traceability and the effects of implementation-A case study from the Norwegian white fish sector. Food Control, 27, 228-233.
  • Duan, Y., Miao, M., Wang, R., Fu, Z., & Xu, M. (2017). A framework for the successful implementation of food traceability systems in China. The Information Society, 33(4), 226-242.
  • Folinas, D., Manikas, I., & Manos, B. (2006). Traceability data management for food chains. British Food Journal, 108(8), 622-633.
  • Gunawan, I., Vanany, I., & Widodo, E. (2021). Typical traceability barriers in the Indonesian vegetable oil industry. British Food Journal, 123(3), 1223-1248.
  • Haleem, A., Khan, S., & Khan, M. I. (2019). Traceability implementation in food supply chain: A grey-DEMATEL approach. Information Processing in Agriculture, 6, 335-348.
  • Karlsen , K., Sørensen, C., Forås, F., & Olsen, P. (2011). Critical criteria when implementing electronic chain traceability in a fish supply chain. Food Control, 22(8), 1339-1347.
  • Liao, P., Chang, H., & Chang, C. (2011). Why is the food traceability system unsuccessful in Taiwan? Empirical evidence from a national survey of fruit and vegetable farmers. Food Policy, 36, 686-693.
  • Mattevi, M., & Jones, J. (2016). Food supply chain: are UK SMEs aware of concept, drivers, benefits and barriers, and frameworks of traceability? British Food Journal, 118(5). https://doi.org/10.1108/BFJ-07-2015-0261.
  • Morana, J. (2016). Barriers and dangers of traceability. Rencontres Internationales de Recherche en Logis-tique et Supply Chain Management. Switzerland.
  • Olsen, P., & Borit, M. (2018). The components of a food traceability system. Trends in Food Science & Technology, 77, 143-149.
  • Özceylan, E. (2020). DEMATEL (Decision Making Trial and Evaluation Laboratory) Yöntemi ile Lojistik Performans Endeksi Kriterlerinin Değerlendirilmesi. M. Kabak, & Y. Çınar içinde, Çok Kriterli Karar Verme Yöntemleri: MS Excel Çözümlü Uygulamalar (s. 61-75). Ankara: Nobel.
  • Potdar, K., Routroy, S., & Behera, A. (2017). Analyzing the agile manufacturing barriers using fuzzy DEMATEL. Benchmarking: An International, 24(7), 1912-1936.
  • Regan, G., McCaffery, F., Daid, K., & Flood, D. (2012). The barriers to traceability and their potential solutions: Towards a reference framework. 38th Euromicro Conference on Software Engineering and Advanced Applications (s. 319-322). Cesme: IEEE.
  • Rombe, E., Mubaraq, R., Hadi, S., Adriansyah, R., & Vesakha, G. (2018). Barriers and drivers for applying fish traceability system in emerging market. International Journal of Engineering & Technology, 7, 262-264.
  • Senneset, G., Foras, E., & Fremme, K. (2007). Challenges regarding implementation of electronic chain traceability. British Food Journal, 109(10), 805-818.
  • Singh, C., Singh, D., & Khamba, J. (2021). Analyzing barriers of green lean practices in manufacturing industries by DEMATEL approach. Journal of Manufacturing Technology Management, 32(1), 176-198.
  • Skilton, P., & Robinson, J. (2009). Traceability and normal accident theory: How does supply network complexity influence the traceability of adverse events. Journal of Supply Chain Management, 45(3), 40-53.
  • Song, W., Zhu, Y., & Zhao, Q. (2020). Analyzing barriers for adopting sustainable online consumption: A rough hierarchical DEMATEL method. Computers & Industrial Engineering, 140. https://doi.org/10.1016/j.cie.2020.106279.
  • Storøy, J., Thakur, M., & Olsen, P. (2013). The TraceFood Framework – Principles and guidelines for implementing traceability in food value chains. Journal of Food Engineering, 115, 41-48.
  • Xue, L., Weiwei, G., Zettan, F., Peng, X., & Weiguang, L. (2007). Traceability and IT: Implications for the future international competitiveness and structure of China's vegetable sector. New Zealand Journal of Agricultural Research, 50(5), 911-917.
There are 27 citations in total.

Details

Primary Language Turkish
Subjects Business Administration
Journal Section Articles
Authors

Sibel Yıldız Çankaya 0000-0003-4942-1415

Publication Date December 23, 2021
Submission Date May 24, 2021
Acceptance Date October 13, 2021
Published in Issue Year 2021 Volume: 6 Issue: 2

Cite

APA Yıldız Çankaya, S. (2021). TEDARİK ZİNCİRİ İZLENEBİLİRLİĞİNİN ÖNÜNDEKİ ENGELLERİN DEMATEL YÖNTEMİYLE DEĞERLENDİRİLMESİ. Journal of Research in Business, 6(2), 357-380. https://doi.org/10.54452/jrb.942000