LOJİSTİK FİRMALARINDA NESNELERİN İNTERNETİ ÜZERİNDE YAPILAN ÇALIŞMANIN BİLİMSEL HARİTALAMA YÖNTEMİ İLE ANALİZİ

Yıl 2024, Cilt: 12 Sayı: 1, 295 - 328, 26.06.2024

Filiz Sivaslıoğlu , Nurgül Erdal

https://doi.org/10.14514/beykozad.1360651

Öz

Bu araştırma, "Nesnelerin İnterneti" kavramını bibliyografik açıdan incelemeyi ve bu konuda yapılan çalışmaları değerlendirmeyi amaçlamaktadır. Web of Science'ta 1998-2023 yılları arasında yayımlanan yayınlar bibliyografik analiz yöntemiyle analiz edilmiştir. 261 çalışma VOSviewer ile doküman, kaynak, yazar, kurum, ülke ve anahtar kelime parametrelerine göre analiz edildi. Analiz sonunda en fazla bağlantı sayısına sahip dokümanlar; Lopes de Sousa Jabbour et. al. (2018) Wang (2022a) ve Qiu (2015). Toplam bağlantı gücü en yüksek olan dergi Ieee Access'tir (23)., En çok atıf alan 24 makale ve 865 atıf alan yazar Huang, George Q., En çok ortak atıf alan yazarlar Zhang, YF, (61); Zhong, RY (44) ve Qu T. (29). Hong Kong Üniversitesi 30 eser, 1053 alıntı aldı. IoT araştırmasında ülkeler arasındaki atıflara bakıldığında en çok Asya, Avrupa ve ABD kıtalarının atıf yapıldığı görülüyor. Nesnelerin İnterneti ile ilgili yayınlarda en sık kullanılan anahtar kelimelere bakıldığında 75 tekrarla “Nesnelerin İnterneti” olduğu görülüyor. Nesnelerin İnterneti lojistikte çok önemli ve bu konudaki bibliyometrik araştırmalar öğrencilere, akademisyenlere ve şirketlere ışık tutacaktır.
Anahtar Kelimeler: Nesnelerin İnterneti, Lojistik, Web of Science, VOSviewer, loT, Bibliyometri, Yönetim, İşletme
Jel Classification Codes: M10, N70, 014

Anahtar Kelimeler

nesnelerin interneti, lojistik, web of sciences, vosviewer, bibliyiometri

Etik Beyan

bu çalışma için etik kurul alınmasına gerek yoktur. İkinci veriler kullanılmıştır

Destekleyen Kurum

yok

Proje Numarası

YOK

Teşekkür

teşekür ederim

ANALYSIS OF STUDY MADE ON THE INTERNET OF THINGS IN LOGISTICS COMPANIES WITH SCIENTIFIC MAPPING METHOD

Öz

This research aims to examine the concept of the "Internet of Things" from a bibliographical point of view and to evaluate the studies on it. The publications published in Web of Science between 1998-2023 were analyzed by bibliographic analysis method. 261 studies were analyzed with VOSviewer according to the parameters of documents, sources, authors, institutions, countries, and keywords. At the end of the analysis, the documents with the highest number of links; are Lopes de Sousa Jabbour et. al. (2018)., Wang (2022a), and Qiu (2015). The journal with the highest total link strength is Ieee Access (23)., The most cited 24 articles and 865 cited authors Huang, George Q., The most co-cited authors Zhang, YF, (61); Zhong, RY (44) and Qu T. (29). Hong Kong University has received 30 works, 1053 citations. When we look at the citations among the countries in the IoT research, it is seen that the continents of Asia, Europe, and the USA are mostly cited. Looking at the most frequently used keywords in related publications on the Internet of Things, it is "Internet of Things" with 75 repetitions. The Internet of Things is very important in logistics and bibliometric research on this subject will shed light on students, academics, and companies.
Keywords: Internet of Things, Logistics, Web of Science, VOSviewer, loT, Bibliometrics, Management, Business
Jel Classification Codes: M10, N70, 014

Anahtar Kelimeler

internet of things, logistic, web of sciences, vosviewer, management, bibliometric

Proje Numarası

YOK

Kaynakça

• Agostino, Í. R. S., Ristow, C., Frazzon, E. M., & Taboada Rodriguez, C. M. (2020). Perspectives on the application of ınternet of things in logistics. Paper presented at the Dynamics in Logistics, Cham. https://doi.org/10.1007/978-3-030-44783-0_37
• Anitha, K., Palaksha Reddy, K., Krishnamoorthy, N., & Jaiswal, S. (2021). IoT enables the supply chain visibility and connectivity and optimization of performance. Materials Today: Proceedings. https://doi.org/10.1016/j.matpr.2020.12.343
• Atzori, L., Iera, A., & Morabito. G. (2010). The Internet of things: a survey, Comput. Netw. 54 (15) (2010) 2787–2805. Elsevier. https://doi.org/10.1016/j.comnet.2010.05.010
• Barrios, P., Danjou, C., & Eynard, B. (2022). Literature review and methodological framework for integration of IoT and PLM in the manufacturing industry, Computers in Industry, Vol. 140, 103688. https://doi.org/10.1016/j.compind.2022.103688
• Buntak, K., Kovačić, M., & Mutavdžija, M. (2019). Internet of Things and smart warehouses as the future of logistics. Tehnički glasnik, 13(3), 248-253. https://doi.org/10.31803/tg20190215200430
• Chen, Q., Li, M., Xu, G., & Huang, G.Q. (2023a). Cyber-physical spare parts intralogistics system for aviation MRO, Advanced Engineering Informatics, Vol. 56, 101919. https://doi.org/10.1016/j.aei.2023.101919
• Chen, Y., Wang, X., Liu, Z., Cui, J., Osmani, M., & Demian, P. (2023b). Exploring building information modeling (BIM) and Internet of things (IoT) integration for sustainable building, Buildings, Vol. 13 No. 2, 288. https://doi.org/10.3390/buildings13020288
• Chen, N., Sun, Y., Wang, Z., & Peng, C. (2022). Improved LS-SVM method for flight data fitting of civil aircraft flying at a high plateau, Electronics, Vol. 11 No. 10, 1558. https://doi.org/10.3390/electronics11101558
• Cuenca, RI., Tokars, R.L., Warnecke, V, C., Deschamps, F., & Valle, P. D. (2020). Systematic literature review on the use of the Internet of Things in industrial logistics. P:151-160. Proceedings of the 27th ISTE Internatıonal Conference on Transdisciplinary Engineering, July 1-July 10,2020.
• Delgosha, M. S., Hajiheydari, N., & Talafidaryani, M. (2021). Discovering IoT implications in business and management: A computational thematic analysis. Technovation, 102236. https://doi.org/10.1016/j.technovation.2021.102236
• Dharfizi, A. D. H. (2018). The energy sector and the Internet of Things – sustainable consumption and enhanced security through industrial revolution 4.0, Journal of International Studies, Vol. 14, pp. 99-117. DOI: https://doi.org/10.32890/jis2018.14.7
• Dineshreddy, V., & Gangadharan, G. R. (2016). Towards an “Internet of Things” framework for the financial services sector, 2016 3rd International Conference on Recent Advances in Information Technology (RAIT), Dhanbad, pp. 177-181. DOI: 10.1109/RAIT.2016.7507897
• Ding, Y., Jin, M., Li, S., & Feng, D. (2021). Smart logistics based on the internet of things technology: an overview. International Journal of Logistics Research and Applications, 24(4), 323-345. https://doi.org/10.1080/13675567.2020.1757053
• Ehsanifar, M., Dekamini, F., Spulbar, C., Birau, R., Khazaei, M., & B_arb_acioru, I.C. (2023). A sustainable pattern of waste management and energy efficiency in smart homes using the internet of things (IoT), Sustainability, Vol. 15 No. 6, 5081. https://doi.org/10.3390/su15065081
• Elkhodr, M., Alsinglawi, B., & Alshehri, M. (2019). A privacy risk assessment for the Internet of Things in healthcare, Applications of Intelligent Technologies in Healthcare, Springer International Publishing, pp. 47-54. https://doi.org/10.1007/978-3-319- 96139-2_5
• Fizza, K., Banerjee, A., Mitra, K., Jayaraman, P., P. Ranjan., R. Patel, P., & Georgakopoulos, D. (2021). QoE in IoT: a vision, survey and future directions. Discover Internet of Things, 1, 4. https://doi.org/10.1007/s43926-021-00006-7
• Fortino, G., Savaglio C., & Spezzano, G. (2020). Internet of Things as system of systems: A review of methodologies, frameworks, platforms, and tools. IEEE Transactions on Systems, Man, and Cybernetics: Systems. Volume: 51, Issue: 1.
• Frederico G. F. (2019). Supply chain 4.0: concepts, maturity, and research agenda. Supply Chain Management An International Journal. 25(2):262-282. https://doi.org/10.1108/BPMJ-12-2016-0248
• Ganzha, M., Paprzycki, M., Pawlowski, W., Szmeja. P., & Wasielewska, K. (2018). Towards semantic ınteroperability between ınternet of things platforms. https://www.researchgate.net/publication/318510298
• Ghouchani, B.E., Jodaki, S., Joudaki, M., Balali, A., & Rajabion, L. (2020). A model for examining the role of the Internet of Things in the development of e-business, VINE Journal of Information and Knowledge Management Systems, Vol. 50 No. 1, pp. 20-33. https://doi.org/10.1108/VJIKMS-04-2019-0058
• Golpîra, H., Khan, S. A. R., & Safaeipour, S. (2021). A review of logistics Internet-of-Things: Current trends and scope for future research. Journal of Industrial Information Integration, 22, 100194. https://doi.org/10.1016/j.jii.2020.100194
• Gubbi,J., Rao, S. A., Ngo, T., Mendis, P., & Palaniswami, M. (2016). Internet of Things for structural health monitoring. CRC Press Taylor &Francis Group Boca Raton London New York. P:89-121.
• Guo, H.-f., Xu, C.-y., Zhang, R., Shi, J.-c., Qu, T., Li, C.-d., Cai, Y.-g., Luo, X.-f. & He, Z.-h. (2020). Bibliometric analysis of Internet of Things based on CiteSpace, in Chien, (Eds), IE&EM, Springer, Singapore.
• Guo, D., Li, M., Lyu, Z., Kang, K., Wu, W., Zhong, R. Y., & Huang, G.Q. (2021). Synchroperation in industry 4.0 manufacturing. International Journal of Production Economics, 238, 108171. https://doi.org/10.1016/j.ijpe.2021.108171
• Harish, AR., Liu, X., Li, M., Zhong, RY., & Huang, G. Q. (2023). Blockchain-enabled digital assets tokenization for cyber-physical traceability in E-commerce logistics financing. Association for Computing Machinery. https://doi.org/10.1016/j.compind.2023.103956
• Hasan, W. K. A., Alraddad, A., Ashour, A., Ran, Y., Alkelsh, M. A., & Ajele, R. A. M. (2019). Design and implementation of smart transformer based on IoT. International Conference on Computing, Electronics & Communications Engineering, 16-21
• Hofmann, E. (2005). Supply chain finance: Some conceptual ınsights. Logistic Management, 203-214.
• Hopkins J., & Hawking. P. (2018). Big data analytics and IoT in logistics: a case study, Int. J. Logistics. Management. 29 (2). 575–591. https://doi.org/10.1108/IJLM-05-2017-0109
• Hossain, Md. S., Rahman, M., Sarker, Md. T., Haque, Md. E., & Jahid, A. (2019). A smart IoTbased system for monitoring and controlling the sub-station equipment. Internet of Things, 7, 100085. https://doi.org/10.1016/j.iot.2019.100085
• Ismail. R., Farhadi. M., & Fooladi M. (2012). Information and communication technology use and economic growth, Plos One Collecıon Psychology. https://doi.org/10.1371/journal.pone.0048903
• Ivankova, G. V., Mochalina, E. P., & Goncharova, N. L., (2020). Internet of Things (IoT) in logistics, IOP Conference Series: Materials Science and Engineering, Vol. 940, 012033 doi:10.1088/1757-899X/940/1/012033.
• Jagtap, S., Duong, L., Trollman, H., Bader, F., Garcia-Garcia, G., Skouteris, G., & Rahimifard, S. (2021). Chapter 5 - IoT technologies in the food supply chain. In C. M. Galanakis (Ed.), Food Technology Disruptions (ss. 175-211): Academic Press.
• Janakiraman, V. M. (2018). Explaining aviation safety incidents using deep temporal multiple instance learning, Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, pp. 406-415. https://doi.org/10.1145/3219819.3219871
• Jiang, J., Liu, F. G., Liu, Y. H., Tang, Q., Wang, B., Zhong, G. X., & Wang, W. Z. (2022). A dynamic ensemble algorithm for anomaly detection in IoT imbalanced data streams. Computer Communications. Volume: 194, Pp:250-257. https://doi.org/10.1016/j.comcom.2022.07.034
• Jiang, J., Liu, F., Wing W. Y. Ng., Tang, Q., Wang, W., & Pham, Q, V. (2022). Dynamic ıncremental ensemble fuzzy classifier for data streams in green Internet of Things. IEEE Transactıons On Green Communıcatıons And Networkıng, Vol. 6, No. 3. DOI: 10.1109/TGCN.2022.3151716
• Kai Lin., Chensi Li., Giancarlo, F., & Joel J.P.C Rodrigues. (2018). Vehicle Route Selection Based on Game Evolution in Social Internet of Vehicles. IEEE Internet Of Thıngs Journal, Vol. 5, No. 4. DOI: 10.1109/JIOT.2018.2844215
• Korchagin, A., Deniskina, A., & Fateeva, I. (2019). Lean and energy-efficient production based on Internet of things (IoT) in the aviation industry, E3S Web Conference, Vol. 110, 02124. https://doi.org/10.1051/e3sconf/201911002124
• Kong, X, T, R., Clyde Z. L., Zhe C., Fan X., Bing X., Xulu L., & Zhao, Y. (2021). A blockchainand IoT-based smart product-service system for the sustainability of prefabricated housing construction. Elsevıer, Journal of Cleaner Production. Volume 286, 125391. https://doi.org/10.1016/j.jclepro.2020.125391
• Kurnia, R., Mulyanti, B., & Widiaty, I. (2020). Internet of Things application in mechanical learning in automotive engineering, IOP Conference Series: Materials Science and Engineering, Vol. 830, 042098. doi:10.1088/1757-899X/830/4/042098
• Lee, H., Puranik, T.G., & Mavris, D.N. (2021). Deep spatio-temporal neural networks for risk prediction and decision support in aviation operations, Journal of Computing andInformation Science in Engineering, Vol. 21 No. 4, 042098. https://doi.org/10.1115/1.4049992
• Li, M. (2022). Operation twins: production-intralogistics synchronization in Industry 4.0. July 2022International Journal of Production Research. 61(7):1-19. https://doi.org/10.1080/00207543.2022.2098874
• Lim, M. K., Muhammad Shoaib,, Ming K. Lim., & Chao Wang. (2020). An integrated framework to prioritize blockchain-based supply chain success factors Industrial Management & Data Systems WWW.emerald.com/insight/0263-5577. doi/10.1108/IMDS-04-2020-0194/full/XXX/full/html
• Liu, Fagui.,Jiang, J., Wing. W.Y.N. g., Tang, Quan., Wang. W., & Pham. QV. (2022). Dynamic ıncremental ensemble fuzzy classifier for data streams in green Internet of Things. Ieee. Ieee Transactıons On Green Communıcatıons And Networkıng, Vol. 6, No. 3. DOI: 10.1109/TGCN.2022.3151716
• Lopes De Sousa Jabbour, A. B., Jabbour, C. J. C., Godınho Fılho, M., & Roubaud, D. (2018). Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operations. Annals Of Operations Research.270:273–286 https://doi.org/10.1007/s10479-018-2772-8
• Lydekaityte, J., & Tambo, T. (2020). Smart packaging: definitions, models, and packaging as an intermediator between digital and physical product management. The International Review of Retail, Distribution and Consumer Research, 30(4), 377-410. https://doi.org/10.1080/09593969.2020.1724555
• Mehmood, I., Ullah, A., Muhammad, K., Deng, D., Meng, W., Al-Turjman, F. Sajjad, M., & Albuquerque, V.H.C. (2019). Efficient image recognition and retrieval on IoT-assisted energy-constrained platforms from big data repositories. IEEE Internet of Things Journal. DOI: 10.1109/JIOT.2019.2896151
• Memarzadeh, M., Matthews, B., Templin, T., Rohani, A.S. & Weckler, D. (2023). Semisupervised active learning for anomaly detection in aviation, Journal of Aerospace Information Systems, Vol. 20 No. 4, pp. 181-194. https://doi.org/10.2514/1.I011083
• Milic, D.C., Dujmenović, I., & Peko, M. (2023). An approach to the application of the ınternet of things in logistics. Tehnıckı Glasnık/Technıcal Journal. Volume,17, 1(2023), 134- 140. https://doi.org/10.31803/tg-20220609190233
• Möller D. P.F., & Vakilzadian, H. (2014). Ubiquitous networks: Power line communication and Internet of things in smart home environments. IEEE International Conference on Electro/Information Technology. DOI: 10.1109/EIT.2014.6871832
• Nath, D., Kallepalli, S., Rao, L. T., Dubey, S.K., Javed, A., & Goel, S. (2021). Microfluidic paper microbial fuel cell powered by Shewanella putrefaciens in IoT cloud framework, International Journal of Hydrogen Energy, Vol. 46 No. 4, pp. 3230-3239. https://doi.org/10.1016/j.ijhydene.2020.04.294
• Ning, H., Hu, S., He, W., Xu, Q., Liu, H., & W., C. (2012). NID-based internet of things and its application in airport aviation risk management, Chinese Journal of Electronics, Vol. 21 No. 2, pp. 209-214.
• Palco, V., Fulco, G., De Capua, C., Ruffa, F., & Lugar_a, M. (2022). IoT and IAQ monitoring systems for the healthiness of dwelling, in 2022 IEEE International Workshop on Metrology for Living Environment (MetroLivEn), Cosenza, pp. 105-109. DOI: 10.1109/MetroLivEnv54405.2022.9826946
• Qi, Q., & Tao, F. (2018). Digital twin and big data towards smart manufacturing and industry 4.0: 360-degree comparison, IEEE Access, Vol. 6, pp. 3585-3593. DOI: 10.1109/ACCESS.2018.2793265
• Qiu, M., Lin, K., Wang, W., Bi, Y., & Hassan, M.M. (2015). Human localization is based on inertial sensors and fingerprints in the industrial of things. Computer Networks, In press. https://doi.org/10.1016/j.comnet.2015.11.012
• Qiuxia, H., & Yujie, H. (2022). The application of İnternet of Things data analysis in the development of ınternational trade. National Library of Medicine. PMID: 35769269. PMCID: PMC9236831. https://doi.org/10.1155/2022/5507951
• Qu, J., Wu, S., & Zhang, J. (2023). Flight delay propagation prediction based on deep learning, Mathematics, Vol. 11 No. 3, p. 494. https://doi.org/10.3390/math11030494
• Qu, T., Lei, S. P., Wang, Z. Z., Nie, D. X., Chen, X., & Huang, G. Q. (2016). IoT-based realtime production logisticssynchronization system under smart cloud manufacturing. The International Journal of Advanced Manufacturing Technology. 84 (1–4): 147–164. DOI 10.1007/s00170-015-7220-1
• Rey, A., Panetti, E., Maglio, R., & Ferretti, M. (2021). Determinants in adopting the Internet of Things in the transport and logistics industry. Journal of Business Research, 131, 584- 590. https://doi.org/10.1016/j.jbusres.2020.12.049
• Sergi, I., Montanaro, T., Benvenuto, F. L., & Patrono, L. (2021). A smart and secure logistics system based on ıot and cloud technologies. Sensors, 21(6), 2231. https://doi.org/10.3390/s21062231
• Shen, L. (2022). Just Trolley: Implementation of industrial IoT and digital twin-enabled spatialtemporal traceability and visibility for finished goods logistics. Advanced Engineering Informatics 52(5):101571. ELSEVIER. https://doi.org/10.1016/j.aei.2022.101571
• Singh, S. K., & Roy, S. (2020). Internet of Things (IoT) Based green logistics operations for sustainable development in the ındian context, Singapore. https://doi.org/10.1007/978- 981-15-2854-5_27
• Sinha, A., Kumar, P., Rana, N.P., Islam R., & Dwivedi Y. K. (2019). Impact of Internet of Things (IoT) in disaster management: a task-technology fit perspective. AnnOper Res, Vol: 283,pp:759–794.https://doi.org/10.1007/s10479-017-2658-1
• Shankar, A., & Sahana, B.C. (2023). Early warning of low visibility using the ensembling of machine learning approaches for aviation services at Jay Prakash Narayan International (JPNI) Airport Patna, SN Applied Sciences, Vol. 5 No. 5, p. 132. https://doi.org/10.1007/s42452-023-05350-7
• Sodhro, A, H., Pirbhulal, S., Luo, Z., & de Albuquerque, V, H, C. (2019). Towards an optimal resource-management for IoT based Green and sustainable smart cities, Journal of Cleaner Production, Vol.220, pp.1167-1179. https://doi.org/10.1016/j.jclepro.2019.01.188
• Song, Y., Yu, F. R., Zhou, L., Yang, X., & He, Z. (2021). Applications of the Internet of Things (IoT) in smart logistics: A Comprehensive Survey. IEEE Internet of Things Journal, 8(6), 4250-4274. DOI: 10.1109/JIOT.2020.3034385
• Taliaferro, A., Ernst, R., Ahmed, U., Harolikar, A., & Ray, S. (2019). Creating IoT ecosystems in transportation: Logistics companies are looking to connect IoT technologies to traditional systems. Retrieved from Toronto, Canada.
• Tang, G., Hung, E. P., Au-Yeung, H. K. C., & Yuen, S. (2020). Politically motivated internet addiction: Relationships among online information exposure, internet addiction, FOMO, psychological well-being, and radicalism in massive political turbulence. International Journal of Environmental Research and Public Health, 17(2), 633. doi:10.3390/ijerph17020633
• Tao, F., & M. Zhang. (2017). Digital twin shopfloor: A newshopfloor paradigm towards smart manufacturing. Pieces. 5: 20418–20427. DOI: 10.1109/ACCESS.2017.2756069
• Trachtman. J. P. (2019). The Internet of Things cybersecurity challenge to Trade and Investment: trust and verify? SSRN: 3374542. https://dx.doi.org/10.2139/ssrn.3374542
• Turak Y. (2015). Nesnelerin interneti ve güvenliği. Bilişim Teknolojisi Hukuku Enstitüsü, Bilişim Hukuku Anabilim Dalı, İstanbul Bilgi Üniversitesi.
• Van Geest, M., Tekinerdogan, B., & Catal, C. (2021). Design of a reference architecture for developing smart warehouses in Industry 4.0. Computers in Industry. 124, 103343. https://doi.org/10.1016/j.compind.2020.103343
• Verdouw, C. N., Robbemond, R. M., Verwaart, T., Wolfert, J., & Beulens, A. J. M. (2018). A reference architecture for IoT-based logistic information systems in agri-food supply chains. Enterprise Information Systems, 12(7), 755-779. https://doi.org/10.1080/17517575.2015.1072643
• Wang, C., Lim, M. K., Zhao, L., Tseng, M.-L., Chien, C.-F., & LEV, B.J.O. (2020). The evolution of omega-the International Journal of Management Science over the past 40 years, A Bibliometric, Overview, Omega, Vol. 93, p. 102098. https://doi.org/10.1016/j.omega.2019.08.005
• Wang, Y. (2022). Optimal design of ınternational trade logistics based on Internet of Things Technology. Computational Intelligence and Neuroscience. https://doi.org/10.1155/2022/8781095
• Wang, J., Lim, M. K., Wang, C., & Tseng, M.-L. (2021). The evolution of the Internet of Things (IoT) over the past 20 years. Computers & Industrial Engineering. 155, 107174. https://doi.org/10.1016/j.cie.2021.107174
• Wang, Q., & Mu, Z. (2022). Risk monitoring model of intelligent agriculture Internet of Things based on big data, Sustainable Energy Technologies, and Assessments. Vol. 53, 102654. https://doi.org/10.1016/j.seta.2022.10265
• Wu, W., Shen, L. D., Zhao, Z. H., Li, M., & Huang, G. Q. (2022). Industrial IoT and long short-term memory network-enabled genetic ındoor-tracking for factory logistics. Ieee Transactions On Industrial Informatics. Volume: 18, Issue: 11. Pp:7537-7548. DOI: 10.1109/TII.2022.3146598
• Xie, Y., Pongsakornsathien, N., Gardi, A., & Sabatini, R. (2021). Explanation of machinelearning solutions in air-traffic management, Aerospace. Vol. 8 No. 8, p. 224. https://doi.org/10.3390/aerospace8080224
• Yao, Y., Zhang, H., Lin, L., Lin, G., Shibasaki, R., Song, X., & Yu, K. (2022). Internet of Things positioning technology based intelligent delivery system, IEEE Transactions on Intelligent Transportation Systems, Vol. ahead-of-print No. ahead-of-print, pp. 1-15, doi: 10.1109/TITS.2022. 3155638.
• Yu, W. (2019). Research on optimization of logistics management information system based on Internet of Things. Paper presented at the 2019 5th International Conference on Education Technology, Management and Humanities Science. DOI: 10.25236/etmhs.2019.371
• Zhang, Y., Guo, Z., Lv, J., & Liu, Y. (2018). A framework for smart production-logistics systems based on CPS and Industrial IoT. IEEE Transactions on Industrial Informatics.14 (9): 4019–4032. DOI: 10.1109/TII.2018.2845683
• Zhang, G., Shang, X., Alawneh, F., Yang, Y., & Nishi, T. (2021). Integrated production planning and warehouse storage assignment problem: An IoT assisted case. International Journal of Production Economics. 234, 108058. https://doi.org/10.1016/j.ijpe.2021.108058
• Zhao, L., Brandao Machado, Matsuo, I., Zhou, Y., & Lee, W. J. (2019). Design of an ındustrial ıot-based monitoring system for power substations. IEEE Transactions on Industry Applications. 55(6), 5666-5674. DOI: 10.1109/TIA.2019.2940668
• Zhao, Z., Wei W., Leidi S., Zhiheng Z., Ming Li., & Huang, G. Q. (2022). Industrial IoT and long short-term memory network enabled genetic ındoor tracking for factory logistics. IEEE, Transactıons On Industrıal Informatıcs. Vol. 18, No. 11. DOI: 10.1109/TII.2022.3146598
• Zhong, R. Y., Xu, C. C., & Huang, G. Q. (2017). Big data analytics for physical ınternet-based ıntelligent manufacturing shopfloors. İnternational Journal of Production Research. 55 (9): 2610–2621. https://doi.org/10.1080/00207543.2015.1086037 www.statista.com, Number of Internet of Things (IoT) connected devices worldwide from 2019 to 2030, https://www.statista.com/statistics/1183457/iot-connected-devicesworldwide/, (Erişim Tarihi: 27.07.2023).