Use of Industry 4.0 Technologies in the Logistics Activities Process in the Agriculture-Food Supply Chain
DOI:
https://doi.org/10.24925/turjaf.v12i11.1968-1980.6822Keywords:
Industry 4.0, Agri-Food Supply Chain, Agri-Food Logistics, Logistics 4.0, Agriculture 4.0Abstract
When considered within the scope of logistics, transportation, stocking and storage of these products or raw materials are very important. Loss, damage and casualty rates are quite high in food and agricultural products that require logistics expertise. From this perspective, food-agricultural products should be managed effectively and efficiently in both supply chain processes and logistics processes. The basic principles of effective and efficient management are the establishment of a traceable and transparent structure. The basis for the successful realization of these issues is the concept of technology. In this study, it is aimed to explain industry 4.0 technologies in supply chain activities and logistics activities in the agricultural food sector and to introduce them to the local literature. Within the scope of this purpose, the usage process of Industry 4.0 technologies, which have entered our lives in recent years, in agriculture-food supply chains and logistics activities, is discussed in detail. Addressing the impact of the Industry 4.0 industrial revolution, which seriously affects all sectors, on the agricultural food sector and filling the gap in the literature reveals the importance of the study. In the research part of the study, domestic and foreign literature was scanned in detail. Additionally, the practices implemented by the enterprises were examined and explained with examples. As a result, industry 4.0 technologies significantly affect the agricultural food supply chain and play a key role in the formation of an effective, efficient, transparent and traceable structure in logistics activities.
References
Agyemang, M., Kusi-Sarpong, S., Agyemang, J., Jia, F., & Adzanyo, M. (2022). Determining and evaluating socially sustainable supply chain criteria in agri-sector of developing countries: insights from West Africa cashew industry. Production Planning & Control, 33(11), 1115-1133.
Alabay, D. (2023). Bulut Bilişim, https://dralabay. wordpress. com/2014/01/20/bulut-bilisim/ Erişim Tarihi: 08. 02. 2024.
Atzori, L., Iera, A., & Morabito, G. (2010). The internet of things: A survey. Computer networks, 54(15), 2787-2805.
Aydın, N. (2022). Tarım Sektöründe Bilgi Teknolojileri. Balkan & Near Eastern Journal of Social Sciences (BNEJSS), 8.
Balcı, E. (2020). Lojistik Sektörünün Uluslararası Alanda Dijitalleşme Süreci ve Türkiye'ye Etkileri, Doktora Tezi, Marmara Üniversitesi, Sosyal Bilimler Enstitüsü, İstanbul.
Banger G. (2017). Endüstri 4.0-Ekstra. Ankara: Dorlion Yayınları
Bavassano, G., Ferrari, C., & Tei, A. (2020). Blockchain: How shipping industry is dealing with the ultimate technological leap. Research in Transportation Business & Management, 34, 100428.
Beck, D. E., Crandall, P. G., O’Bryan, C. A., & Shabatura, J. C. (2016). Taking food safety to the next level—An augmented reality solution. Journal of foodservice business research, 19(4), 382-395.
Bhat, S. A., Huang, N. F., Sofi, I. B., & Sultan, M. (2021). Agriculture-food supply chain management based on blockchain and IoT: a narrative on enterprise blockchain interoperability. Agriculture, 12(1), 40.
Bijman, J., Omta, S. W. F., Trienekens, J. H., Wijnands, J. H. M., & Wubben, E. F. M. (2006). International agri-food chains and networks: management and organization. Wageningen Academic Publishers.
Breiter, G. (2011). IBM Cloud Computing Architecture Some Selected Aspects, IBM Distinguished Engineer Tivoli Chief Architect Cloud Computing.
Cirulis, A., & Ginters, E. (2013). Augmented reality in logistics. Procedia Computer Science, 26, 14-20.
Cooper, C. (2015). Cybersecurity in food and agriculture. Protecting our future, 2.
Crofton, E. C., Botinestean, C., Fenelon, M., & Gallagher, E. (2019). Potential applications for virtual and augmented reality technologies in sensory science. Innovative Food Science & Emerging Technologies, 56, 102178.
Dahabieh, M. S., Bröring, S., & Maine, E. (2018). Overcoming barriers to innovation in food and agricultural biotechnology. Trends in food science & technology, 79, 204-213.
Deepu, T. S. ve Ravi, V. (2021). “Exploring Critical Success Factors Influencing Adoption of Digital Twin and Physical Internet in Electronics Industry Using Grey-DEMATEL Approach”, Digital Business, 1(2), 100009
Duong, L. N., Al-Fadhli, M., Jagtap, S., Bader, F., Martindale, W., Swainson, M., & Paoli, A. (2020). A review of robotics and autonomous systems in the food industry: From the supply chains perspective. Trends in Food Science & Technology, 106, 355-364.
Duong, L. N., Wood, L. C., & Wang, W. Y. (2018). Effects of consumer demand, product lifetime, and substitution ratio on perishable inventory management. Sustainability, 10(5), 1559.
Ejsmont, K., Gladysz ve B., Kluczek, A. (2020). “Impact of industry 4. 0 on sustainability – bibliometric literature review”. Suistainability, 12 (14), s. 1-29
Elferink, M., & Schierhorn, F. (2016). Global demand for food is rising. Can we meet it. Harvard business review, 7(04).
Gerdan, D., Koç, C., & Vatandaş, M. (2020). Gıda ürünlerinin izlenebilirliğinde blok zinciri teknolojisinin kullanımı. Tarım Makinaları Bilimi Dergisi, 16(2), 8-14.
Granillo-Macías, R., González Hernández, I. J., & Olivares-Benítez, E. (2023). Logistics 4. 0 in the agri-food supply chain with blockchain: a case study. International Journal of Logistics Research and Applications, 1-21.
Gružauskas, V., Baskutis, S., & Navickas, V. (2018). Minimizing the trade-off between sustainability and cost effective performance by using autonomous vehicles. Journal of Cleaner Production, 184, 709-717.
Guiochet, J., Machin, M., & Waeselynck, H. (2017). Safety-critical advanced robots: A survey. Robotics and Autonomous Systems, 94, 43-52.
Handayati, Y., Simatupang, T. M., & Perdana, T. (2015). Agri-food supply chain coordination: the state-of-the-art and recent developments. Logistics Research, 8, 1-15.
Hebbar, N. (2020). Freshness of food detection using IoT and machine learning. In 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE) (pp. 1-3). IEEE.
Hoffa-Dabrowska, P., & Grzybowska, K. (2020). Simulation modeling of the sustainable supply chain. Sustainability, 12(15), 6007.
Jagtap, S., Bader, F., Garcia-Garcia, G., Trollman, H., Fadiji, T., & Salonitis, K. (2020). Food logistics 4. 0: Opportunities and challenges. Logistics, 5(1), 2.
Jagtap, S., Saxena, P., & Salonitis, K. (2021). Food 4. 0: implementation of the augmented reality systems in the food industry. Procedia CIRP, 104, 1137-1142.
Karabegović, I., Karabegović, E., Mahmić, M., & Husak, E. J. A. I. P. E. (2015). The application of service robots for logistics in manufacturing processes. Advances in Production Engineering & Management, 10(4).
Khan, Z. H., Khalid, A., & Iqbal, J. (2018). Towards realizing robotic potential in future intelligent food manufacturing systems. Innovative food science & emerging technologies, 48, 11-24.
Kumar, I., Rawat, J., Mohd, N., & Husain, S. (2021). Opportunities of artificial intelligence and machine learning in the food industry. Journal of Food Quality, 2021, 1-10.
Kumar, Y., Kaur, K., & Singh, G. (2020). Machine learning aspects and its applications towards different research areas. In 2020 International conference on computation, automation and knowledge management (ICCAKM) (pp. 150-156). IEEE.
Lin, l., and Zhou, D. (2005). On the Construction of Food Quality and Safety Traceability System (in Chinese). Commercial Research 21: 41-44.
Lin, W., X. Huang, H. Fang, V. Wang, Y. Hua, J. Wang, H. Yin, D. Yi, and L. Yau. (2020). “Blockchain Technology in Current Agricultural Systems: From Techniques to Applications. ” IEEE Access 8: 143920–143937. doi:10. 1109/ACCESS. 2020. 3014522.
Manzini, R., & Accorsi, R. (2013). The new conceptual framework for food supply chain assessment. Journal of food engineering, 115(2), 251-263.
Mathupriya, S., Banu, S. S., Sridhar, S. ve Arthi, B. (2020). “Digital Twin Technology on IoT, Industries & Other Smart Environments: A Survey”, Materials Today: Proceedings, DOI: 10. 1016/j. matpr. 2020. 11. 358
Mc Carthy, U., Uysal, I., Badia-Melis, R., Mercier, S., O'Donnell, C., & Ktenioudaki, A. (2018). Global food security–Issues, challenges and technological solutions. Trends in Food Science & Technology, 77, 11-20.
Negahban, A., & Smith, J. S. (2014). Simulation for manufacturing system design and operation: Literature review and analysis. Journal of manufacturing systems, 33(2), 241-261.
Negi, A., & Rajesh, K. (2019). A review of ai and ml applications for computing systems. In 2019 9th International Conference on Emerging Trends in Engineering and Technology-Signal and Information Processing (ICETET-SIP-19) (pp. 1-6). IEEE.
Özkan, Ö. (2019). Blockchain Türkiye Platformu Üretim, Lojistik ve Ulaşım Çalışma Grubu Raporu. s. 21, https://bctr. org/dokumanlar/Tedarikci_Tanima_Platformu. pdf
Öztuna, B. (2017). Endüstri 4.0: Dördüncü sanayi devrimi ile çalışma yaşamının geleceği. Gece Kitaplığı, Ankara
Paciarotti, C., & Torregiani, F. (2021). The logistics of the short food supply chain: A literature review. Sustainable Production and Consumption, 26, 428-442.
Pal, A., & Kant, K. (2019). Using blockchain for provenance and traceability in internet of things-integrated food logistics. Computer, 52(12), 94-98.
Pires, F., Cachada, A., Barbosa, J., Moreira, A. P., & Leitão, P. (2019). Digital twin in industry 4. 0: Technologies, applications and challenges. In 2019 IEEE 17th International Conference on Industrial Informatics (INDIN) (Vol. 1, pp. 721-726). IEEE.
Rajabzadeh, M., & Fatorachian, H. (2023). Modelling Factors Influencing IoT Adoption: With a Focus on Agricultural Logistics Operations. Smart Cities, 6(6), 3266-3296.
Ramirez-Asis, E., Vilchez-Carcamo, J., Thakar, C. M., Phasinam, K., Kassanuk, T., & Naved, M. (2022). A review on role of artificial intelligence in food processing and manufacturing industry. Materials Today: Proceedings, 51, 2462-2465.
Rehman, T. U., Mahmud, M. S., Chang, Y. K., Jin, J., & Shin, J. (2019). Current and future applications of statistical machine learning algorithms for agricultural machine vision systems. Computers and electronics in agriculture, 156, 585-605.
Rejeb, A., Rejeb, K., & Keogh, J. G. (2021). Enablers of augmented reality in the food supply chain: a systematic literature review. Journal of Foodservice Business Research, 24(4), 415-444.
Rejeb, A., Simske, S., Rejeb, K., Treiblmaier, H., & Zailani, S. (2020). Internet of Things research in supply chain management and logistics: A bibliometric analysis. Internet of Things, 12, 100318.
Remondino, M., & Zanin, A. (2022). Logistics and agri-food: digitization to increase competitive advantage and sustainability. Literature review and the case of Italy. Sustainability, 14(2), 787.
Sabzi, S., & Arribas, J. I. (2018). A visible-range computer-vision system for automated, non-intrusive assessment of the pH value in Thomson oranges. Computers in Industry, 99, 69-82.
Schuldt, A., Hribernik, K., Gehrke, J. D., Thoben, K. D., & Herzog, O. (2010). Cloud computing for autonomous control in logistics.
Sorko, S. R., & Brunnhofer, M. (2019). Potentials of augmented reality in training. Procedia Manufacturing, 31, 85-90.
Suprem, A., Mahalik, N., & Kim, K. (2013). A review on application of technology systems, standards and interfaces for agriculture and food sector. Computer Standards & Interfaces, 35(4), 355-364.
Toy, E. (2019). Ambalaj tasarımında artırılmış gerçeklik kullanımı. 5. Uluslararası Bilimsel Araştırmalar Kongresi, Bandırma, 59-70.
Tripoli, M., and Schmidhuber, J. (2018). Emerging Opportunities for the Application of Blockchain in the Agri-food Industry. FAO and ICTSD: Rome and Geneva. Licence: CC BY-NC-SA, 3.
Tsolakis, N. K., Keramydas, C. A., Toka, A. K., Aidonis, D. A., & Iakovou, E. T. (2014). Agrifood supply chain management: A comprehensive hierarchical decision-making framework and a critical taxonomy. Biosystems engineering, 120, 47-64.
Ustalı, N. K., & Tekin, M. (2023). Tedarik Zincirinde Dijital İkiz. Lojistiğin Geleceği-2, Duvar Yayınları. 107.
Vanderroost, M., Ragaert, P., Verwaeren, J., De Meulenaer, B., De Baets, B., & Devlieghere, F. (2017). The digitization of a food package’s life cycle: Existing and emerging computer systems in the logistics and post-logistics phase. Computers in Industry, 87, 15-30.
Vigneault, C., Thompson, J., Wu, S., Hui, K. P. C. ve LeBlanc, D. I. (2009). Transportation of fresh horticultural produce, Postharvest Technologies for Horticultural Crops, 2, 1–24.
Vilas-Boas, J. L., Rodrigues, J. J., & Alberti, A. M. (2023). Convergence of Distributed Ledger Technologies with Digital Twins, IoT, and AI for fresh food logistics: Challenges and opportunities. Journal of Industrial Information Integration, 31, 100393.
Yılmaz, E. N., Gönen, S., Şanoğlu ve S., Karacayılmaz, G., (2021). “Endüstri 4.0’ın gelişim sürecinde unutulan bileşen: Siber güvenlik”. Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 9 (4), s. 1142-1158.
Yılmaz, Ü. & Kuvat, Ö. (2021). Nesnelerin İnterneti Teknolojisinin Lojistik Faaliyetlerindeki Uygulama Alanları ve Verimliliğe Etkileri. Avrupa Bilim ve Teknoloji Dergisi, (31), 746-754.
Zhao, J. L., Fan, S., & Yan, J. (2016). Overview of business innovations and research opportunities in blockchain and introduction to the special issue. Financial innovation, 2, 1-7.
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