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Makine Halısı Sektöründe İtme ve Çekme Sistemlerinin Karşılaştırılması: Türkiye'den Bir Vaka Analizi

Yıl 2025, Cilt: 11 Sayı: 2, 523 - 549
https://doi.org/10.20979/ueyd.1707989

Öz

Müşteri ihtiyaçlarını karşılamak amacıyla çok sayıda ardışık süreç ve sistem geliştirilmiştir. Bu sistemlerden ikisi, itme ve çekme sistemleri olarak sınıflandırılmaktadır. Üretim ve dağıtım mekanizmaları, sürekli olarak "arz için üretim (itme)" ile "talep üzerine üretim (çekme)" yaklaşımları arasında paradigmal bir değişim geçirmektedir. Bu çalışma, Türkiye’de faaliyet gösteren bir şirkette hem itme temelli hem de çekme temelli sistemlerin uygulanması sonucunda elde edilen farklı çıktıların değerlerini ölçmüş ve karşılaştırmıştır. Ayrıca, ilgili sistemlerin finansal performansı ENTROPI-COPRAS hibrid yöntemi kullanılarak değerlendirilmiştir. Her iki sistemin doğasında bulunan avantaj ve dezavantajlara rağmen, bulgular çekme sistemi temelli modelin ilgili sektör için özellikle uygun olduğunu göstermektedir. Bu model; hızlı, şeffaf, öngörülebilir ve sürdürülebilir bir yapıya sahip olmasının yanı sıra, kaynakların daha duyarlı ve verimli bir şekilde kullanılmasını da sağlamaktadır. Bu çalışma, makine halıcılığı sektöründe söz konusu iki sistemin farklı parametreler temelinde karşılaştırıldığı ilk araştırma olması bakımından öncü niteliktedir. Bu bağlamda, hem sektörde faaliyet gösteren aktörlerin tedarik zinciri yönetimi stratejilerine katkı sağlaması hem de araştırmacılara yeni bir perspektif sunması öngörülmektedir.

Proje Numarası

Yoktur

Kaynakça

  • Abadi, M., Huang, J., Yeow, J., Mohandes, S.R., and Zhang, L. (2025). Towards a complex push-to-pull dynamics in circular construction supply chains: a systematic literature review. Engineering, Construction and Architectural Management, 32(2), 912-938.
  • Alam, M. R. N., Hardi, R., and Sumardi, S. (2022). The utilization of complex proportional assessment (COPRAS) in determining the selection of the best speaker. Multica Science and Technology, 2(1), 30-37.
  • Alnıpak, S. ve Toraman, Y. (2023). Türkiye’deki İlk 10 Konteyner Limanının Toplam Faktör Verimliliğindeki Değişim: Pandemi Dönemi Ve Sonrasına Yönelik Bir Çalışma. Yorulmaz, M. (Ed.), Deniz İşletmeciliği Ve Yönetiminde Güncel Yaklaşımlar. 89 -109. ISBN:978-625-6939-69-1.
  • Anwar, U. A. A., Rahayu, A., Wibowo, L. A., et al. (2025). Supply chain integration as the implementation of strategic management in improving business performance. Discover Sustainability, 6, 101.
  • Ayçin, E. (2019). BIST Menkul Kıymet Yatırım Ortaklıkları Endeksinde (XYORT) Yer Alan İşletmelerin Finansal Performanslarının Entropi ve Gri İlişkisel Analiz Bütünleşik Yaklaşımı İle Değerlendirilmesi. Dokuz Eylül Üniversitesi İktisadi İdari Bilimler Fakültesi Dergisi, 33(2), 595-622.
  • Bahçeci, A., & Belgin, Ö. (2021). Organize Sanayi Bölgesi (OSB) İçinde Kurulması Planlanan Bir Teknopark’ın Gelişimi İçin En Uygun OSB’nin Entropi Tabanlı TOPSIS Yöntemi İle Seçimi. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi(68), 153-163.
  • Bebitoğlu, M. E. (2022). Contemporary aspects of entrepreneurship and innovation management. Nobel Akademik Yayıncılık.
  • Cachon, G. (2004). The allocation of inventory risk in a supply chain: Push, pull and advance-purchase discount contracts. Management Sciences, 50(2), 222–238.
  • Ch, M. R., Prasad, K. D., and Subbaiah, K. V. (2024). Application of integrated entropy-COPRAS and ANN approaches for maximizing wire EDM machinability attributes of Al6082-T6/GNP/TiB2 composites. Engineering Research Express, 6(3), 035535.
  • Chiadamrong, N., and Kohly, P. (2005). A comparison of the push and pull production systems at their optimal designs under the economic consideration. ASEAN Journal on Science and Technology for Development, 22 (4), 313-330.
  • Chiang, A.-H., and Huang, M.-Y. (2021), Demand-pull vs supply-push strategy: the effects of organizational structure on supply chain integration and response capabilities. Journal of Manufacturing Technology Management, 32(8), 1493-1514.
  • Choi, T. Y., Netland, T. H., Sanders, N., Sodhi, M. S., and Wagner, S. M. (2023). Just‐in‐time for supply chains in turbulent times. Production and Operations Management, 32(7), 2331-2340
  • Chopra, S., and Meindl, P. (2013). Supply Chain Management: Strategy, Planning and Operation. (5th ed.) Pearson Education.
  • Christopher, M. (2016). Logistics and Supply Chain Management. Pearson. Cochran, J. K., and Kaylani, H. A. (2008). Optimal design of a hybrid push/pull serial manufacturing system with multiple part types. International Journal of Production Research, 46(4), 949-965.
  • Çağlıyan, V., Attar, M., and Abdul-Kareem, A. (2022). Assessing the mediating effect of sustainable competitive advantage on the relationship between organisational innovativeness and firm performance. Competitiveness Review, 32(4), 618-639.
  • Dayı, F., and Adaiem, N. (2024). Profitability analysis of markets traded on Borsa Istanbul. İnsan ve Toplum Bilimleri Araştırmaları Dergisi, 13(1), 130-151.
  • Demir, G. and Arslan, R. (2022). Sensitivity Analysis in Multi-Criterion Decision-Making Problems. Ankara Hacı Bayram Veli Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 24(3), 1025-1056.
  • Dong, Y., and Xu K. (2002). A supply chain model of vendor managed inventory. Transportation Research Part E. Logistics and Transportation Review, 38(2), 75-95.
  • Eliyan, A. F., Haouari, M., & Sleiti, A. (2024). Decarbonizing Public Transportation: A Multi-Criteria Comparative Analysis of Battery Electric Buses and Fuel Cell Electric Buses. Sustainability, 16(21), 9354.
  • Fowler, J.W., Kim, S-H., and Shunk, D-L. (2019). Design for customer responsiveness: Decision support system for push–pull supply chains with multiple demand fulfillment points. Decision Support Systems, 123, 113071.
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  • Gül, A., and Yerdelen Kaygın, C. (2024). Analysis of the financial performances of real estate investment trusts critic aras and copras methods: the case of BIST. Journal of Business Research-Turk, 16 (4), 2062-2076.
  • Hezer, S., Gelmez, E., and Özceylan,E. (2021). Comparative analysis of TOPSIS, VIKOR and COPRAS methods for the COVID-19 regional safety Assessment. Journal of Infection and Public Health, 14(6). 775-786.
  • Hipólito, T., Nabais, J. L., Carmona-Benítez, R., Botto, M. A., and Negenborn, R. R. (2020). A centralised model predictive control framework for logistics management of coordinated supply chains of perishable goods. International Journal of Systems Science: Operations and Logistics, 9(1), 1–21.
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  • Li, J-W. (2003). Simulation-based comparison of push and pull systems in a job-shop environment considering the context of JIT implementation. International Journal of Production Research, 41(3), 427-447.
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The Comparison of Push and Pull Systems in Machine Made Carpet Industry: A Case Study from Türkiye

Yıl 2025, Cilt: 11 Sayı: 2, 523 - 549
https://doi.org/10.20979/ueyd.1707989

Öz

A multitude of successive processes and systems have been developed in order to meet customer needs. Two of these systems are classified as push and pull systems. The mechanisms of production and distribution are subject to a constant paradigm shift between "production for supply (push)" and "production on demand (pull)”. The present study measured and compared the values of different outputs resulting from the application of both push-based and pull-based systems in a company in Türkiye. Furthermore, the financial performance of the relevant systems was evaluated using the ENTROPY-COPRAS method. Despite the inherent advantages and disadvantages of both systems, the findings indicate that the pull system-based model is particularly well-suited to the relevant sector. This model is characterized by its fast, transparent, predictable and sustainable nature, while also ensuring the more sensitive and efficient use of resources. This study is pioneering in its approach, as it is the first to compare these two systems using different parameters for the machine-made carpet industry. In this context, it is hoped that it will contribute to the strategy development of industry players in terms of supply chain management, as well as to researchers.

Etik Beyan

Herhangi bir çıkar çatışması yoktur.

Destekleyen Kurum

Yoktur

Proje Numarası

Yoktur

Teşekkür

Yoktur

Kaynakça

  • Abadi, M., Huang, J., Yeow, J., Mohandes, S.R., and Zhang, L. (2025). Towards a complex push-to-pull dynamics in circular construction supply chains: a systematic literature review. Engineering, Construction and Architectural Management, 32(2), 912-938.
  • Alam, M. R. N., Hardi, R., and Sumardi, S. (2022). The utilization of complex proportional assessment (COPRAS) in determining the selection of the best speaker. Multica Science and Technology, 2(1), 30-37.
  • Alnıpak, S. ve Toraman, Y. (2023). Türkiye’deki İlk 10 Konteyner Limanının Toplam Faktör Verimliliğindeki Değişim: Pandemi Dönemi Ve Sonrasına Yönelik Bir Çalışma. Yorulmaz, M. (Ed.), Deniz İşletmeciliği Ve Yönetiminde Güncel Yaklaşımlar. 89 -109. ISBN:978-625-6939-69-1.
  • Anwar, U. A. A., Rahayu, A., Wibowo, L. A., et al. (2025). Supply chain integration as the implementation of strategic management in improving business performance. Discover Sustainability, 6, 101.
  • Ayçin, E. (2019). BIST Menkul Kıymet Yatırım Ortaklıkları Endeksinde (XYORT) Yer Alan İşletmelerin Finansal Performanslarının Entropi ve Gri İlişkisel Analiz Bütünleşik Yaklaşımı İle Değerlendirilmesi. Dokuz Eylül Üniversitesi İktisadi İdari Bilimler Fakültesi Dergisi, 33(2), 595-622.
  • Bahçeci, A., & Belgin, Ö. (2021). Organize Sanayi Bölgesi (OSB) İçinde Kurulması Planlanan Bir Teknopark’ın Gelişimi İçin En Uygun OSB’nin Entropi Tabanlı TOPSIS Yöntemi İle Seçimi. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi(68), 153-163.
  • Bebitoğlu, M. E. (2022). Contemporary aspects of entrepreneurship and innovation management. Nobel Akademik Yayıncılık.
  • Cachon, G. (2004). The allocation of inventory risk in a supply chain: Push, pull and advance-purchase discount contracts. Management Sciences, 50(2), 222–238.
  • Ch, M. R., Prasad, K. D., and Subbaiah, K. V. (2024). Application of integrated entropy-COPRAS and ANN approaches for maximizing wire EDM machinability attributes of Al6082-T6/GNP/TiB2 composites. Engineering Research Express, 6(3), 035535.
  • Chiadamrong, N., and Kohly, P. (2005). A comparison of the push and pull production systems at their optimal designs under the economic consideration. ASEAN Journal on Science and Technology for Development, 22 (4), 313-330.
  • Chiang, A.-H., and Huang, M.-Y. (2021), Demand-pull vs supply-push strategy: the effects of organizational structure on supply chain integration and response capabilities. Journal of Manufacturing Technology Management, 32(8), 1493-1514.
  • Choi, T. Y., Netland, T. H., Sanders, N., Sodhi, M. S., and Wagner, S. M. (2023). Just‐in‐time for supply chains in turbulent times. Production and Operations Management, 32(7), 2331-2340
  • Chopra, S., and Meindl, P. (2013). Supply Chain Management: Strategy, Planning and Operation. (5th ed.) Pearson Education.
  • Christopher, M. (2016). Logistics and Supply Chain Management. Pearson. Cochran, J. K., and Kaylani, H. A. (2008). Optimal design of a hybrid push/pull serial manufacturing system with multiple part types. International Journal of Production Research, 46(4), 949-965.
  • Çağlıyan, V., Attar, M., and Abdul-Kareem, A. (2022). Assessing the mediating effect of sustainable competitive advantage on the relationship between organisational innovativeness and firm performance. Competitiveness Review, 32(4), 618-639.
  • Dayı, F., and Adaiem, N. (2024). Profitability analysis of markets traded on Borsa Istanbul. İnsan ve Toplum Bilimleri Araştırmaları Dergisi, 13(1), 130-151.
  • Demir, G. and Arslan, R. (2022). Sensitivity Analysis in Multi-Criterion Decision-Making Problems. Ankara Hacı Bayram Veli Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 24(3), 1025-1056.
  • Dong, Y., and Xu K. (2002). A supply chain model of vendor managed inventory. Transportation Research Part E. Logistics and Transportation Review, 38(2), 75-95.
  • Eliyan, A. F., Haouari, M., & Sleiti, A. (2024). Decarbonizing Public Transportation: A Multi-Criteria Comparative Analysis of Battery Electric Buses and Fuel Cell Electric Buses. Sustainability, 16(21), 9354.
  • Fowler, J.W., Kim, S-H., and Shunk, D-L. (2019). Design for customer responsiveness: Decision support system for push–pull supply chains with multiple demand fulfillment points. Decision Support Systems, 123, 113071.
  • GAIB (Güneydoğu Anadolu İhracatçı Birlikleri). (2022). Halı istatistikleri. https://www.gaib.org.tr/tr/istatistik-ve-raporlar.html
  • Gaur, L., and Tyagi, A. (2022). Lean and green in supply chain management: Push and pull mechanism. In K. Mathiyazhagan, K. E. K. Vimal, H. Kumar, A. Ramesh, & V. Agarwal (Eds.), Lean and green manufacturing: Towards eco-efficiency and business performance (pp. 177–186). Springer. https://doi.org/10.1007/978-981-16-8150-7_14
  • Goswami, S. S., Behera, D. K., Afzal, A., Razak Kaladgi, A., Khan, S. A., Rajendran, P., Subbiah, R., and Asif, M. (2021). Analysis of a robot selection problem using two newly developed hybrid MCDM models of TOPSIS-ARAS and COPRAS-ARAS. Symmetry, 13(8), 1331.
  • Gül, A., and Yerdelen Kaygın, C. (2024). Analysis of the financial performances of real estate investment trusts critic aras and copras methods: the case of BIST. Journal of Business Research-Turk, 16 (4), 2062-2076.
  • Hezer, S., Gelmez, E., and Özceylan,E. (2021). Comparative analysis of TOPSIS, VIKOR and COPRAS methods for the COVID-19 regional safety Assessment. Journal of Infection and Public Health, 14(6). 775-786.
  • Hipólito, T., Nabais, J. L., Carmona-Benítez, R., Botto, M. A., and Negenborn, R. R. (2020). A centralised model predictive control framework for logistics management of coordinated supply chains of perishable goods. International Journal of Systems Science: Operations and Logistics, 9(1), 1–21.
  • Hopp, J.W., and Spearman, M.L. (2004). To pull or not to pull: what is the question?. Manufacturing and Service Operations Management, 6(2), 133-148.
  • Khedr, A.M., and Sheeja Rani, S. (2024). Enhancing supply chain management with deep learning and machine learning techniques: A review. Journal of Open Innovation: Technology, Market and Complexity, 10(4),100379.
  • Kim, S-H, Fowler, J.W., Shunk, D.L., and Pfund, M.E. (2012). Improving the push–pull strategy in a serial supply chain by a hybrid push–pull control with multiple pulling points. International Journal of Production Research, 50(19), 5651-5668.
  • Lariviere, M., and Porteus, E.L. (2001). Selling to the newsvendor: An analysis of price-only contracts. Manufacturing and Service Operations Management, 3(4), 293-305.
  • Li, J-W. (2003). Simulation-based comparison of push and pull systems in a job-shop environment considering the context of JIT implementation. International Journal of Production Research, 41(3), 427-447.
  • Lim, S.F.W.T., Lawson, B., and Barratt, M. (2017). Revisiting theories of governance for last-mile supply networks in omnichannel retailing. Academy of Management Annual Meeting Proceedings 2017(1), 12330.
  • Lin, J., Zhou, L., Spiegler, V.L.M. Naim, M.M., and Syntetos, A. (2022). Push or pull? The impact of ordering policy choice on the dynamics of a hybrid closed-loop supply chain. European Journal of Operational Research, 300(1), 282-295.
  • Mahapatra, S., Yu, D.Z., and Mahmoodi, F. (2012). Impact of the pull and push-pull policies on the performance of a three-stage supply chain. International Journal of Production Research, 50(16), 4699-4717.
  • Masuchun, W., Davis, S., and Patterson, J.W. (2004). Comparison of push and pull control strategies for supply network management in a make-to-stock environment. International Journal of Production Research, 42(20), 4401-4419.
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  • Minculete, G., and Olar, P. (2016). Push and pull systems in supply chain management: Correlative approaches in the military field. Journal of Defense Resources Management, 7(2), 165-172.
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  • Wu, Jinru & Chen, Xiaoling & Lu, Jianzhong. (2022). Assessment of long and short-term flood risk using the multi-criteria analysis model with the AHP-Entropy method in Poyang Lake basin. International Journal of Disaster Risk Reduction. 75. 102968.
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  • Yeşil, E.Ş., Özturk, P.H., Ozturk, E., and Kitis, M. (2025). Use of COPRAS decision model for the selection of best treatment alternatives in removing micropollutants: Diclofenac example. Chemosphere, 375, 144264.
  • Zagursky, O.M., and Slipukha, T.I. (2019). Comparative Analysis of Production – Logistics Systems That Based on Push and Pull Strategies. Journal of Rural Production Research, 10(3), 69-78.
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Toplam 71 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular İşletme
Bölüm Araştırma Makaleleri
Yazarlar

Meriç Esat Bebitoğlu 0000-0001-5013-913X

Serdar Alnıpak 0000-0002-5722-9960

Proje Numarası Yoktur
Erken Görünüm Tarihi 8 Ağustos 2025
Yayımlanma Tarihi
Gönderilme Tarihi 28 Mayıs 2025
Kabul Tarihi 7 Ağustos 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 11 Sayı: 2

Kaynak Göster

APA Bebitoğlu, M. E., & Alnıpak, S. (2025). The Comparison of Push and Pull Systems in Machine Made Carpet Industry: A Case Study from Türkiye. Uluslararası Ekonomi Ve Yenilik Dergisi, 11(2), 523-549. https://doi.org/10.20979/ueyd.1707989

Uluslararası Ekonomi ve Yenilik Dergisi

Karadeniz Teknik Üniversitesi, İİBF, İktisat Bölümü, 61080, Trabzon/Türkiye

https://dergipark.org.tr/en/pub/ueyd

33974

 This work is licensed under a Creative Commons Attribution 4.0 International License.