Türkiye’de Lojistik Sektöründe Faaliyet Gösteren İşletmelerin Dijital Trendlerinin İncelenmesi

Endüstri 4.0’la beraber her sektörde yeni uygulamalar geliştirilmeye başlanmıştır. Bu uygulama alanlarından bazıları; tedarik zinciri geliştirmeleri, rota optimizasyonları, Büyük Veri kullanımı, yapay zeka geliştirilmesi, akıllı depo tasarımları, robotlaşma ve otomasyon, sürücüsüz araçların hem üretim hem de sektör hizmetlerindeki gelişimidir. Tüm bu geliştirme ve teknolojiler sektörde dijitalleşme süreci gerektirmektedir. Bu çalışma Endüstri 4.0’la oluşan değişim rüzgarlarının Türkiye’deki lojistik sektöründe hangi trendleri yarattığına odaklanmaktadır. Yapılan literatür taraması, röportaj analizleri ve teknoloji, lojistik, servis ve IT tedariki, perakende gibi farklı sektörlerden 65 şirketin katılımıyla yapılan anket çalışması analizi sonucunda, 2017 ve sonrasında Türkiye lojistik sektöründeki trendlerin Supergrid Lojistik, otonom lojistik, robotik ve otomasyon, Nesnelerin İnterneti, Bulut Lojistik, Büyük Veri ve e-ticaret şeklinde sıralanabileceği sonucuna varılmıştır.

Anahtar Kelimeler:

Lojistik, Dijital Trend, Tedarik Zinciri, Dijitalleşme, Nesnelerin İnterneti

Investigation of Digital Trends Operating in the Logistics Sector in Turkey

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Angeleanu, A. (2015). New technology trends and their transformative impact on logistics and supply chain processes. International Journal of Economic Practices and Theories, 5(5), 413-419.
Ardito, L., Petruzzelli, A. M., Panniello, U., & Garavelli, A. C. (2019). Towards Industry 4.0: Mapping digital technologies for supply chain management-marketing integration. Business Process Management Journal, 25(2), 323-346.
Barreto, L., Amaral, A., & Pereira, T. (2017). Industry 4.0 implications in logistics: an overview. Procedia Manufacturing, 13, 1245-1252.
Bonkenburg, T. (2016). Robotics in logistics: A DPDHL perspective on implications and use cases for the logistics industry. DHL Customer Solutions & Innovation: Bonn, Germany, 4.
Büyüközkan, G., & Göçer, F. (2018). An extension of ARAS methodology under interval valued intuitionistic fuzzy environment for digital supply chain. Applied Soft Computing, 69, 634-654.
Chen, W., Feng, G., Zhang, C., Liu, P., Ren, W., Cao, N., & Ding, J. (2019). Development and Application of Big Data Platform for Garlic Industry Chain. Computers, Materials & Continua, 58(1), 229-248.
Coşkun, S., Kayikci, Y., & Gençay, E. (2019). Adapting Engineering Education to Industry 4.0 Vision. Technologies, 7(1), 10.
da Silva, V. L., Kovaleski, J. L., & Pagani, R. N. (2019). Technology transfer in the supply chain oriented to industry 4.0: a literature review. Technology Analysis & Strategic Management, 31(5), 546-562.
Da Xu, L., He, W., & Li, S. (2014). Internet of things in industries: A survey. IEEE Transactions on industrial informatics, 10(4), 2233-2243.
Degryse, C. (2016). Digitalisation of the economy and its impact on labour markets. ETUI Research Paper-Working Paper.
DHL. (2016). Logistics Trend Radar. DHL Customer Solutions & Innovation.
Digital Transformation of Industries: Logistics Industry. (2016). World Economic Forum White Paper.
Edirisuriya, A., Weerabahu, S., & Wickramarachchi, R. (2018, Aralık). Applicability of Lean and Green Concepts in Logistics 4.0: A Systematic Review of Literature. In 2018 International Conference on Production and Operations Management Society (POMS) (pp. 1-8). IEEE.
Govindan, K., Cheng, T. C. E., Mishra, N., & Shukla, N. (2018). Big data analytics and application for logistics and supply chain management.
Ham, A. M. (2018). Integrated scheduling of m-truck, m-drone, and m-depot constrained by time-window, drop-pickup, and m-visit using constraint programming. Transportation Research Part C: Emerging Technologies, 91, 1-14.
Hofmann, E., Rüsch, M., (2017). Industry 4.0 and the current status as well as future prospects on logistics. Computers in Industry 89, 23–34.
https://www.orange-business.com/en/magazine/5-digital-trends-transforming-the-logistics-industry
Industrial Internet Consortium. (2015). Fact sheet. http://www.iiconsortium.org/docs/IIC_FACT_ SHEET.pdf.
Ivanov, D., Dolgui, A., Sokolov, B., Werner, F., & Ivanova, M. (2016). A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0. International Journal of Production Research, 54(2), 386-402.
J. Nasser. (2014). Cyber physical systems in the context of Industry 4.0. Automation, Quality and Testing, Robotics, 2014 IEEE International Conference on. IEEE.
Kayikci, Y. (2017). E-Commerce in Logistics and Supply Chain Management. in Mehdi Khosrow-Pour (Ed.), Encyclopedia of Information Science and Technology, 4th Ed.,Vol.7,5367-5377, IGI Global
Kayikci, Y. (2018). Sustainability impact of digitization in logistics. Procedia manufacturing, 21, 782-789.
Kolberg, D., & Zühlke, D. (2015). Lean automation enabled by industry 4.0 technologies. IFAC-PapersOnLine, 48(3), 1870-1875.
Krajcovic, M., Grznar, P., Fusko, M., & Skokan, R. (2018). Intelligent Logistics for Intelligent Production Systems. Communications-Scientific letters of the University of Zilina, 20(4), 16-23.
Kranenburg, R. v. (2007). The Internet of Things: A Critique of Ambient Technology and the All-Seeing Network of RFID. Amsterdam, The Netherlands: Institute of Network Cultures.
Kucukaltan, B., Irani, Z., & Aktas, E. (2016). A decision support model for identification and prioritization of key performance indicators in the logistics industry. Computers in Human Behavior, 65, 346-358.
Li, W., Zhong, Y., Wang, X., & Cao, Y. (2013). Resource virtualization and service selection in cloud logistics. Journal of Network and Computer Applications, 36(6), 1696-1704.
Liboni, L. B., Cezarino, L. O., Jabbour, C. J. C., Oliveira, B. G., & Stefanelli, N. O. (2019). Smart industry and the pathways to HRM 4.0: implications for SCM. Supply Chain Management: An International Journal, 24(1), 124-146.
Lins, T., Oliveira, R. A. R., Correia, L. H., & Silva, J. S. (2019, Nisan). Industry 4.0 Retrofitting. In 2018 VIII Brazilian Symposium on Computing Systems Engineering (SBESC) (pp. 8-15). IEEE.
Lu, Y., 2017. Industry 4.0: a survey on technologies, applications and open research issues. J. Ind. Inform. Integrat. 1–10.
Maslarić, M., Nikoličić, S., & Mirčetić, D. (2016). Logistics response to the industry 4.0: the physical internet. Open engineering, 6(1).
MENON, S., SHAH, S., & COUTROUBIS, A. (2019, Nisan). An Overview of Smart Manufacturing for Competitive and Digital Global Supply Chains. In 2018 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD) (pp. 178-183). IEEE.
MÜSİAD. (2017). Endüstri 4.0 ve geleceğin lojstiği. 2017 Lojistik Sektör Raporu. 103.
Müller, F., Jaeger, D., & Hanewinkel, M. (2019). Digitization in wood supply–A review on how Industry 4.0 will change the forest value chain. Computers and Electronics in Agriculture, 162, 206-218.
Müller, J. M., Kiel, D., & Voigt, K. I. (2018). What drives the implementation of industry 4.0? The role of opportunities and challenges in the context of sustainability. Sustainability, 10(1), 247.
Neradilova, H., & Fedorko, G. (2017). Simulation of the Supply of Workplaces by the AGV in the Digital Factory. Procedia engineering, 192, 638-643.
Nguyen, T., Li, Z. H. O. U., Spiegler, V., Ieromonachou, P., & Lin, Y. (2018). Big data analytics in supply chain management: A state-of-the-art literature review. Computers & Operations Research, 98, 254-264.
Pisano, G. P. (2015). You need an innovation strategy. Harvard Business Review, 93(6), 44-54.
Posada, J., Toro, C., Barandiaran, I., Oyarzun, D., Stricker, D., de Amicis, R., ... & Vallarino, I. (2015). Visual computing as a key enabling technology for industrie 4.0 and industrial internet. IEEE computer graphics and applications, 35(2), 26-40.
Rüßmann, M., Lorenz, M., Gerbert, P., Waldner, M., Justus, J., Engel, P., & Harnisch, M. (2015). Industry 4.0: The future of productivity and growth in manufacturing industries. Boston Consulting Group, 9(1), 54-89.
Sanders, N. R. (2014). Big data driven supply chain management: A framework for implementing analytics and turning information into intelligence. Pearson Education.
Sangwan, K. S. (2017). Key activities, decision variables and performance indicators of reverse logistics. Procedia CIRP, 61, 257-262.
Schlüter, F., & Hetterscheid, E. (2017). Supply chain process oriented technology-framework for Industry 4.0. In Proceedings of the Hamburg International Conference of Logistics (HICL) (pp. 275-299).
Schwab, K. (2016). The fourth industrial revolution. World Economic Forum 6-9.
Taschner, A. (2016). Improving SME logistics performance through benchmarking. Benchmarking: An International Journal, 23(7), 1780-1797.
Teng, S. Y., Li, X. J., Zhao, Z., Qin, P. L., & Lu, Y. Y. (2018). Countermeasure Analysis on Internet Logistics. In E3S Web of Conferences (Vol. 38, p. 01036). EDP Sciences.
Thomas Bauernhansl, Jörg Krüger, Gunther Reinhart, Günther Schuh. 2016. Wgp-Standpunkt Industrie 4.0, Wissenschaftliche Gesellschaft für Produktionstechnik Wgp e. v.
Tjahjono, B., Esplugues, C., Ares, E., & Pelaez, G. (2017). What does industry 4.0 mean to supply chain?. Procedia Manufacturing, 13, 1175-1182.
Todorovic, V., Maslaric, M., Bojic, S., Jokic, M., Mircetic, D., & Nikolicic, S. (2018). Solutions for More Sustainable Distribution in the Short Food Supply Chains. Sustainability, 10(10), 3481.
Wang, G., Gunasekaran, A., Ngai, E. W., & Papadopoulos, T. (2016). Big data analytics in logistics and supply chain management: Certain investigations for research and applications. International Journal of Production Economics, 176, 98-110.
Witkowski, K. (2017). Internet of things, big data, industry 4.0–innovative solutions in logistics and supply chains management. Procedia Engineering, 182, 763-769.
Zhou, K., Liu, T., & Zhou, L. (2015, Ağustos). Industry 4.0: Towards future industrial opportunities and challenges. In 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) (pp. 2147-2152). IEEE.