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Akıllı ve Sürdürülebilir Tedarik Zinciri Yönetiminin Hazırlık ve Olgunluk Düzeyinin Değerlendirilmesi için Geometrik Ortalamaya Dayalı Yeni Bir Model Önerisi

Yıl 2022, Cilt: 7 Sayı: 1, 95 - 115, 31.05.2022
https://doi.org/10.26650/JTL.2022.1023071

Öz

Son yıllarda küreselleşme ve küresel rekabetteki artış, artan teknolojik büyüme hızı, müşteri taleplerindeki çeşitlilik ve tedarik zinciri süreçlerinin giderek karmaşıklaşması firmaların tedarik zinciri stratejilerine akıllı ve sürdürülebilir paradigmalar eklemelerine neden olmuştur. Tedarik zinciri oyuncuları arasındaki gerçek zamanlı bilgi paylaşımı ve zincirin her bir basamağının etkin koordinasyonu, tedarik zincirinin verimli şekilde yönetimi için önemli rol oynamaktadır. Bu da geleneksel tedarik zincirinden dijital tedarik zincirine dönüşüm ile mümkündür. Endüstri 4.0 olarak adlandırılan ve 2011 yılında Almanya’da doğan Dördüncü Sanayi Devrimi bilgi teknolojileri, nesnelerin interneti, yapay zeka, bulut bilişim teknolojisi, otonom araçlar, robotik sistemler, sensor ve otomasyon ağları, sanal ve arttırılmış gerçeklik gibi teknolojilerin üretim süreçlerine yoğun biçimde entegrasyonunu hedef alan yenilikçi bir paradigmadır. Ne var ki, Endüstri 4.0’a uyum ve uyum sonrası olgunluk dönemi birçok firma için beklenmedik problemlere yol açabilmektedir. Akıllı fabrikaların kurulmasında ve dijital dönüşümün uygulanmasında en büyük sorunlardan biri, Endüstri 4.0 yetkinliklerinin tüm operasyonlara eş zamanlı olarak etkin şekilde uygulanamamasıdır. Bu bağlamda, firmaların Endüstri 4.0’a hazırlık ve uyum sonrası olgunluk düzeylerinin niceliksel ölçümü ve değerlendirilmesi, üst yönetim için büyük önem arz etmektedir. Bu çalışmanın amacı firmaların Endüstri 4.0’a hazırlık ve olgunluk düzeylerinin daha iyi anlaşılıp ölçülebilmesi için, dijital tedarik zincirlerinin akıllı ve sürdürülebilir boyutta olgunluk düzeylerinin eş zamanlı ölçülebilmesine olanak sağlayan bir model önermektir. Modelin uygulandığı nümerik örnekte, her bir Endüstri 4.0 aracının sürdürülebilirlik boyutlarına ne derece uyum sağladığı belirlenmiştir. Örneğin, eklemeli imalat ve arttırılmış gerçeklik sürdürülebilirliğin ekonomik boyutunda yüksek olgunluk skoru alırken, çevresel ve sosyal boyutlara göre daha düşük skor almıştır. Benzer şekilde, yapay ve dikey sistem entegrasyonu her üç boyut için yüksek olgunluk seviyesinde iken, yapay zeka çok düşük olgunluk seviyesinde kalmıştır. 

Kaynakça

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A New Evaluation Model for the Readiness and Maturity Level of Intelligent and Sustainable Supply Chain Management Based on Geometric Mean

Yıl 2022, Cilt: 7 Sayı: 1, 95 - 115, 31.05.2022
https://doi.org/10.26650/JTL.2022.1023071

Öz

Recently, companies have added smart and sustainable paradigms to their supply chain strategies as a result of globalization and increased global competition, increasing technological growth rate, diversity in customer demands, and increasing complexity in supply chain processes. Real-time information sharing among supply chain players and the effective coordination of each step of the chain are critical for efficient supply chain management. This is made possible by the transition from the traditional supply chain to the digital supply chain. The Fourth Industrial Revolution, also known as Industry 4.0, was coined for the first time in Germany in 2011. It is an innovative paradigm with the goal of intensely integrating technologies, such as information technologies, the Internet of Things, artificial intelligence, cloud computing technology, autonomous vehicles, robotic systems, sensor and automation networks, and virtual and augmented reality into production processes. However, for many companies, the adaptation of Industry 4.0 and the subsequent maturity period may present unexpected challenges. One of the most difficult challenges in establishing smart factories and implementing digital transformation is that Industry 4.0 competencies cannot be effectively applied to all operations simultaneously. In this context, quantitative measurement and evaluation of firms’ maturity levels following Industry 4.0 preparation and adaptation is critical for senior management. The goal of this study is to propose a model for measuring the maturity level of digital supply chains while considering smart and sustainable dimensions. We determined the extent to which each Industry 4.0 tool was compatible with the sustainability dimensions in the numerical example where the model was applied. For example, although additive manufacturing and augmented reality receive high scores in the economic dimension of sustainability, they receive lower scores in the environmental and social dimensions. Similarly, although horizontal and vertical systems integration has high levels of maturity in all three sustainability dimensions, artificial intelligence has an exceptionally low level of maturity.

Kaynakça

  • Aguiar, T., Gomes, S. B., da Cunha, P. R., & da Silva, M. M. (2019, October). Digital transformation capability maturity model framework. In 2019 IEEE 23rd International Enterprise Distributed Object Computing Conference (EDOC) (pp. 51-57). IEEE. google scholar
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  • Barreto, L., Amaral, A., & Pereira, T. (2017). Industry 4.0 implications in logistics: an overview. Procedia Manufacturing, 13, 1245-1252. google scholar
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  • De Carolis, A., Macchi, M., Negri, E., & Terzi, S. (2017a, June). Guiding manufacturing companies towards digitalization a methodology for supporting manufacturing companies in defining their digitalization roadmap. In 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC) (pp. 487-495). IEEE. google scholar
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  • Drath, R., & Horch, A. (2014). Industrie 4.0: Hit or Hype? [Industry Forum]. IEEE Industrial Electronics Magazine, 8(2), 56-58. google scholar
  • El Kadiri, S., Grabot, B., Thoben, K. D., Hribernik, K., Emmanouilidis, C., Von Cieminski, G., & Kiritsis, D. (2016). Current trends on ICT technologies for enterprise information systems. Computers in Industry, 79, 14-33. google scholar
  • Elibal, K., & Özceylan, E. (2021). A systematic literature review for industry 4.0 maturity modeling: state-of-the-art and future challenges. Kybernetes, 50(11), 2957-2994. google scholar
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  • Ernst, F., & Frische, P. (2015). Industry 4.0/industrial internet of things-related technologies and requirements for a successful digital transformation: An investigation of manufacturing businesses worldwide. Available at SSRN 2698137. google scholar
  • Faller, C., & Feldmüller, D. (2015). Industry 4.0 learning factory for regional SMEs. Procedia Cirp, 32, 88-91. google scholar
  • Fleischmann, M., & Minner, S. (2004). Inventory management in closed loop supply chains. In Supply chain management and reverse logistics (pp. 115-138). Springer, Berlin, Heidelberg. google scholar
  • Gausemeier, J., Schmidt, M., Anderl, R., Schmid, H. J., Leyens, C., Seliger, G., Winzer, P., Kohlhuber, M., Kage, M., & Karg, M. (2017). Additive Manufacturing. google scholar
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  • Gökalp, E., Şener, U., & Eren, P. E. (2017, October). Development of an assessment model for industry 4.0: industry 4.0-MM. In International Conference on Software Process Improvement and Capability Determination (pp. 128-142). Springer, Cham. google scholar
  • Guide, V. D. R. Jr, & Van Wassenhove, L. N. (2002). Closed-Ioop supply chains. In A. Klose, M. Grazia Speranza, L.N. Van Wassenhove (ed.), Quantitative Approaches to Distribution Logistics and Supply Chain Management (pp. 47-60). Berlin: Springer google scholar
  • Hart, S. L. (1997). Beyond greening: Strategies for a sustainable world. Harvard Business Review, 75(1), 66-77. google scholar
  • Hayes, B. (2008). Cloud computing. Communications of the ACM, 51(7), 9-11. google scholar
  • Hermann, M., Pentek, T., & Otto, B. (2016, January). Design principles for industrie 4.0 scenarios. In 2016 49th Hawaii international conference on system sciences (HICSS) (pp. 3928- 3937). IEEE. google scholar
  • Hervani, A. A., Helms, M. M., & Sarkis, J. (2005). Performance measurement for green supply chain management. Benchmarking: An international journal. google scholar
  • Kenton, W. (2018). Augmented reality. Investopedia Fundamental Analysis: Sectors & Industries Analysis. Retrieved from Web Site: https://www.investopedia.com /terms/a/augmented-reality.asp. google scholar
  • Kim, T., Glock, C. H., & Kwon, Y. (2014). A closed-loop supply chain for deteriorating products under stochastic container return times. Omega, 43, 30-40. google scholar
  • Kohlegger, M., Maier, R., & Thalmann, S. (2009). Understanding maturity models: Results of a structured content analysis (pp. 51-61). google scholar
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Toplam 77 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Endüstri Mühendisliği
Bölüm Araştırma Makalesi
Yazarlar

Sercan Demir 0000-0003-0764-9083

Mehmet Akif Gündüz 0000-0002-3884-1409

Turan Paksoy 0000-0001-8051-8560

Yayımlanma Tarihi 31 Mayıs 2022
Gönderilme Tarihi 13 Kasım 2021
Kabul Tarihi 17 Mart 2022
Yayımlandığı Sayı Yıl 2022 Cilt: 7 Sayı: 1

Kaynak Göster

APA Demir, S., Gündüz, M. A., & Paksoy, T. (2022). Akıllı ve Sürdürülebilir Tedarik Zinciri Yönetiminin Hazırlık ve Olgunluk Düzeyinin Değerlendirilmesi için Geometrik Ortalamaya Dayalı Yeni Bir Model Önerisi. Journal of Transportation and Logistics, 7(1), 95-115. https://doi.org/10.26650/JTL.2022.1023071
AMA Demir S, Gündüz MA, Paksoy T. Akıllı ve Sürdürülebilir Tedarik Zinciri Yönetiminin Hazırlık ve Olgunluk Düzeyinin Değerlendirilmesi için Geometrik Ortalamaya Dayalı Yeni Bir Model Önerisi. JTL. Mayıs 2022;7(1):95-115. doi:10.26650/JTL.2022.1023071
Chicago Demir, Sercan, Mehmet Akif Gündüz, ve Turan Paksoy. “Akıllı Ve Sürdürülebilir Tedarik Zinciri Yönetiminin Hazırlık Ve Olgunluk Düzeyinin Değerlendirilmesi için Geometrik Ortalamaya Dayalı Yeni Bir Model Önerisi”. Journal of Transportation and Logistics 7, sy. 1 (Mayıs 2022): 95-115. https://doi.org/10.26650/JTL.2022.1023071.
EndNote Demir S, Gündüz MA, Paksoy T (01 Mayıs 2022) Akıllı ve Sürdürülebilir Tedarik Zinciri Yönetiminin Hazırlık ve Olgunluk Düzeyinin Değerlendirilmesi için Geometrik Ortalamaya Dayalı Yeni Bir Model Önerisi. Journal of Transportation and Logistics 7 1 95–115.
IEEE S. Demir, M. A. Gündüz, ve T. Paksoy, “Akıllı ve Sürdürülebilir Tedarik Zinciri Yönetiminin Hazırlık ve Olgunluk Düzeyinin Değerlendirilmesi için Geometrik Ortalamaya Dayalı Yeni Bir Model Önerisi”, JTL, c. 7, sy. 1, ss. 95–115, 2022, doi: 10.26650/JTL.2022.1023071.
ISNAD Demir, Sercan vd. “Akıllı Ve Sürdürülebilir Tedarik Zinciri Yönetiminin Hazırlık Ve Olgunluk Düzeyinin Değerlendirilmesi için Geometrik Ortalamaya Dayalı Yeni Bir Model Önerisi”. Journal of Transportation and Logistics 7/1 (Mayıs 2022), 95-115. https://doi.org/10.26650/JTL.2022.1023071.
JAMA Demir S, Gündüz MA, Paksoy T. Akıllı ve Sürdürülebilir Tedarik Zinciri Yönetiminin Hazırlık ve Olgunluk Düzeyinin Değerlendirilmesi için Geometrik Ortalamaya Dayalı Yeni Bir Model Önerisi. JTL. 2022;7:95–115.
MLA Demir, Sercan vd. “Akıllı Ve Sürdürülebilir Tedarik Zinciri Yönetiminin Hazırlık Ve Olgunluk Düzeyinin Değerlendirilmesi için Geometrik Ortalamaya Dayalı Yeni Bir Model Önerisi”. Journal of Transportation and Logistics, c. 7, sy. 1, 2022, ss. 95-115, doi:10.26650/JTL.2022.1023071.
Vancouver Demir S, Gündüz MA, Paksoy T. Akıllı ve Sürdürülebilir Tedarik Zinciri Yönetiminin Hazırlık ve Olgunluk Düzeyinin Değerlendirilmesi için Geometrik Ortalamaya Dayalı Yeni Bir Model Önerisi. JTL. 2022;7(1):95-115.



The JTL is being published twice (in April and October of) a year, as an official international peer-reviewed journal of the School of Transportation and Logistics at Istanbul University.