Araştırma Makalesi
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Use of New Generation Technologies in Cold Chain Logistics

Yıl 2023, , 772 - 782, 31.07.2023
https://doi.org/10.11616/asbi.1211537

Öz

Cold chain logistics is the activity of transporting and storing chilled or frozen foods with special equipment to maintain their quality from production to consumption. Along with improving living standards, the diversification of food demands and the development of industry 4.0 have made it necessary to use new-generation technologies in cold chain logistics. This study, it is aimed to comprehensively discuss the use of new-generation technology in cold chain logistics with the main lines. As a result of the study, it has been revealed that the internet of things (IoT), blockchain, big data, artificial intelligence, and digital twin technologies make significant contributions to cold chain logistics. However, it has been found that the use of blockchain and digital twin technologies in cold chain logistics is more limited than other technologies. It is foreseen that these technologies will be used frequently in cold chain logistics in the future. According to another result of the study, for the development of cold chain logistics in Turkey, existing technologies should be gradually transformed into new-generation technologies.

Proje Numarası

Yoktur

Kaynakça

  • Adekomaya, O., Jamiru, T., Sadiku, R. ve Huan, Z. (2016), Sustaining The Shelf Life of Fresh Food in Cold Chain–A Burden on The Environment, Alexandria Engineering Journal, 55(2), s.1359-1365.
  • Ali, I., Nagalingam, S. ve Gurd, B. (2018), A Resilience Model for Cold Chain Logistics of Perishable Products, The International Journal of Logistics Management, 29(3), s.922-941.
  • Badia-Melis, R., Mc Carthy, U., Ruiz-Garcia, L., Garcia-Hierro, J. ve Villalba, J. R. (2018), New Trends in Cold Chain Monitoring Applications-A Review, Food Control, 86, s.170-182.
  • Bamakan, S. M. H., Moghaddam, S. G. ve Manshadi, S. D. (2021), Blockchain-Enabled Pharmaceutical Cold Chain: Applications, Key Challenges, and Future Trends, Journal of Cleaner Production, 302, s.127021.
  • Boje, C., Guerriero, A., Kubicki, S. ve Rezgui, Y. (2020). Towards A Semantic Construction Digital Twin: Directions for Future Research. Automation in Construction, 114, s.103179.
  • Chen, J., Xu, S., Chen, H., Zhao, C. ve Xue, K. (2020), Research on Optimization of Food Cold Chain Logistics Distribution Route Based on İnternet of Things, In Journal of Physics: Conference Series, 1544(1), s. 012086, IOP Publishing.
  • Chen, Q., Qian, J., Yang, H. ve Wu, W. (2022), Sustainable Food Cold Chain Logistics: from Microenvironmental Monitoring to Global İmpact, Comprehensive Reviews in Food Science and Food Safety, 21(5), s.4189-4209.
  • Chen, Y. H. (2020), Intelligent Algorithms for Cold Chain Logistics Distribution Optimization Based on Big Data Cloud Computing Analysis. Journal of Cloud Computing, 9(1), s.1-12.
  • Cil, A. Y., Abdurahman, D. ve Cil, I. (2022), Internet of Things Enabled Real Time Cold Chain Monitoring in A Container Port. Journal of Shipping and Trade, 7(1), s.1-26.
  • Cruz, R. M., Vieira, M. C. ve Silva, C. L. (2009), Effect of Cold Chain Temperature Abuses on The Quality of Frozen Watercress (Nasturtium Officinale R. Br.), Journal of Food Engineering, 94(1), s.90-97.
  • Çelikel FG. (2020), Postharvest Quality and Technology of Cut Flowers and Ornamental Plants, BSJ Agri, 3(3), s.225-232.
  • David, L. O., Nwulu, N. I., Aigbavboa, C. O., & Adepoju, O. O. (2022), Integrating Fourth Industrial Revolution (4IR) Technologies into The Water, Energy & Food Nexus for Sustainable Security: A Bibliometric Analysis, Journal of Cleaner Production, 363, 132522.
  • De Saint-Exupery, A. (2009), Internet of Things, Strategic Research Roadmap, s.1-50.
  • Defraeye, T., Shrivastava, C., Berry, T., Verboven, P., Onwude, D., Schudel, S. ve Rossi, R. M. (2021), Digital Twins Are Coming: Will We Need Them in Supply Chains of Fresh Horticultural Produce?, Trends in Food Science & Technology, 109, s.245-258.
  • Degirmenci, İ. T., Karayun, I. ve Akyildirim, O. O. (2017), Cold Chain Logistics for Frozen Food At Tourism Destinations, Journal of Management Marketing and Logistics, 4(2), s.159-167.
  • Demir, S., Aktas, E. ve Paksoy, T. (2021), Cold Chain Logistics: The Case of Turkish Airlines Vaccine Distribution. In Adapting to The Future: How Digitalization Shapes Sustainable Logistics and Resilient Supply Chain Management, Proceedings of The Hamburg International Conference of Logistics (HICL), 31, s. 771-798, Berlin: epubli GmbH.
  • Demiray, E. ve Tülek, Y. (2010), Donmuş Muhafaza Sırasında Meyve ve Sebzelerde Oluşan Kalite Değişimleri, Akademik Gıda, 8(2), s.36-44.
  • Demirci, S.B. (2020), Soğuk Zincir Lojistiğinde Tedarik Zincirinin Önemi ve Yaş Sebze-Meyve Örneği: Bir Literatür Taraması, Niğde Ömer Halisdemir Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 2(1), s.52-62.
  • Eldener, E.(2019), Gıda ve Soğuk Zincir Lojistiği İçin Eğitime Yatırım Şart, https://www.utikad.org.tr/Detay/Sektor-Haberleri/25410/gida-ve-soguk-zincir-lojistigi-icin-egitime-yatirim-sart, (Erişim Tarihi: 10.11.2022).
  • Erturan, İ. ve Ergin, E. (2018), Dijital Denetim ve Dijital İkiz Yöntemi. Muhasebe Bilim Dünyası Dergisi, 20(4), s.810-830.
  • Gao, Z. ve Li, D. (2022), Blockchain-Based Neural Network Model for Agricultural Product Cold Chain Coordination, Computational Intelligence and Neuroscience, s.1-12.
  • Gupta, V. K., Chaudhuri, A. ve Tiwari, M. K. (2019), Modeling for Deployment of Digital Technologies in The Cold Chain, IFAC-PapersOnLine, 52(13), s.1192-1197.
  • Gustavsson, J., Cederberg, C., Sonesson, U., Van Otterdijk, R. ve Meybeck, A. (2011), Global food losses and food waste, Save Food Congress, The Swedish Institute for Food and Biotechnology.
  • Han, J. W., Li, Q. X., Wu, H. R., Zhu, H. J. ve Song, Y. L. (2019), Prediction of Cooling Efficiency of Forced-Air Precooling Systems Based on Optimized Differential Evolution and İmproved BP Neural Network, Applied Soft Computing, 84, s.105733.
  • Han, J. W., Zuo, M., Zhu, W. Y., Zuo, J. H., Lü, E. L. ve Yang, X. T. (2021), A Comprehensive Review of Cold Chain Logistics for Fresh Agricultural Products: Current Status, Challenges, and Future Trends, Trends in Food Science & Technology, 109, s.1-47.
  • He, B. ve Yin, L. (2021), Prediction Modelling of Cold Chain Logistics Demand Based on Data Mining Algorithm, Mathematical Problems in Engineering, s.1-9.
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  • https://www.fao.org/nr/sustainability/food-loss-and-waste/en/, (Erişim Tarihi: 05.10.2022).
  • https://www.fortunebusinessinsights.com/cold-chain-logistics-market-106305, (Erişim Tarihi: 16.10.2022).
  • https://www.gcca.org/sites/default/files/2018%20GCCA%20Cold%20Storage%20Capacity%20Report%20final.pdf, (Erişim Tarihi: 13.10.2022).
  • https://www.resmigazete.gov.tr/eskiler/2021/07/20210702-2.htm, (Erişim Tarihi: 03.11.2022).
  • Hu, G., Mu, X., Xu, M. ve Miller, S. A. (2019), Potentials of GHG Emission Reductions From Cold Chain Systems: Case Studies of China and The United States, Journal of Cleaner Production, 239, s.118053.
  • Izikki, K., El Alami, J., & Hlyal, M. (2021), The use of the internet of things in the cold chain logistics for a better vaccine transportation: A state of the art, In 4th International Conference on Innovative Research in Science Engineering and Technology, Milan , s.2-13.
  • İpekçi, E. ve Tanyaş, M. (2021), Soğuk Zincir Lojistiği Uygulamaları ve Türkiye’de Soğuk Zincir Lojistiğinin Swot Analizi, Dicle Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (26), s. 46-64.
  • Jeschke, S. ve Grassmann, R. (2021), Development of a Generic Implementation Strategy of Digital Twins in Logistics Systems under Consideration of the German Rail Transport, Applied Sciences, 11(21), 10289.
  • Kohli, P. (2019), Public-Private Knowledge Partnership–Redefining The Cold-Chain, Agriculture for Development, 36, s.11-15.
  • Köroglu, Y. (2017). Yapay Zekâ’nın Teorik ve Pratik Sınırları. Bogaziçi Üniversitesi Yayınevi, s.1-10.
  • Küçüktürkmen, B. ve Bozkır, A. (2018), Özel Saklama Koşulu Gerektiren veya Soğuk Zincire Tabi İlaçlar ve Uygulamalar Açısından Değerlendirmeler, Türk Hijyen ve Deneysel Biyoloji Dergisi, 75(3), s.305-322.
  • Loisel, J., Duret, S., Cornuéjols, A., Cagnon, D., Tardet, M., Derens-Bertheau, E. ve Laguerre, O. (2021), Cold Chain Break Detection and Analysis: Can Machine Learning Help?, Trends in Food Science & Technology, 112, s. 391-399.
  • Makridakis, S. ve Christodoulou, K. (2019), Blockchain: Current challenges and future prospects/applications. Future Internet, 11(12), s.1-16.
  • Masudin, I., Ramadhani, A., Restuputri, D. P., & Amallynda, I. (2021). The effect of traceability system and managerial initiative on Indonesian food cold chain performance: A Covid-19 pandemic perspective. Global Journal of Flexible Systems Management, 22(4), 331-356.
  • Meneghetti, A. ve Monti, L. (2015), Greening The Food Supply Chain: An Optimisation Model for Sustainable Design of Refrigerated Automated Warehouses, International Journal of Production Research, 53(21), s.6567-6587.
  • Mercier, S., Villeneuve, S., Mondor, M. ve Uysal, I. (2017), Time–Temperature Management Along The Food Cold Chain: A Review of Recent Developments, Comprehensive Reviews in Food Science and Food Safety, 16(4), s.1-21.
  • Niranjanamurthy, M., Nithya, B. N., & Jagannatha, S. J. C. C. (2019), Analysis of Blockchain technology: pros, cons and SWOT, Cluster Computing, 22(6), s.14743-14757.
  • Nofer, M., Gomber, P., Hinz, O. ve Schiereck, D. (2017), Blockchain, Business &Information Systems Engineering, 59(3), s.183-187.
  • Powell-Palm, M. J. ve Rubinsky, B. (2019), A Shift from The Isobaric to The Isochoric Thermodynamic State Can Reduce Energy Consumption and Augment Temperature Stability İn Frozen Food Storage, Journal of Food Engineering, 251, s.1-10.
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Soğuk Zincir Lojistiğinde Yeni Nesil Teknolojilerin Kullanımı

Yıl 2023, , 772 - 782, 31.07.2023
https://doi.org/10.11616/asbi.1211537

Öz

Soğuk zincir lojistiği; soğutulmuş veya dondurulmuş gıdaların üretimden başlayarak tüketim aşamasına kadar, kalitelerini korumak için özel ekipmanlarla taşınma ve depolanma faaliyetidir. İyileşen yaşam standartları ile birlikte, gıda taleplerinin çeşitlenmesi ve endüstri 4.0’ın gelişimi, soğuk zincir lojistiğinde yeni nesil teknolojilerin kullanımını zorunlu hale getirmiştir. Bu çalışmada, soğuk zincir lojistiğinde yeni nesil teknoloji kullanımının ana hatları ile kapsamlı bir şekilde tartışılması amaçlanmıştır. Çalışma sonucunda, nesnelerin interneti (IoT), blokzincir, büyük veri, yapay zekâ ve dijital ikiz teknolojilerinin soğuk zincir lojistiğine önemli katkılar sağladığı ortaya konmuştur. Bununla birlikte, soğuk zincir lojistiğinde blokzincir ve dijital ikiz teknolojileri kullanımının, diğer teknolojilere nazaran daha sınırlı olduğu bulunmuştur. İlerleyen süreçte, belirtilen teknolojilerin soğuk zincir lojistiğinde daha sık kullanılacağı öngörülmektedir. Çalışmanın bir diğer sonucuna göre, Türkiye’de soğuk zincir lojistiğinin gelişimi için, mevcut teknolojilerin kademeli olarak yeni nesil teknolojilere dönüştürülmesi gerekmektedir.

Destekleyen Kurum

Yoktur

Proje Numarası

Yoktur

Teşekkür

Yoktur

Kaynakça

  • Adekomaya, O., Jamiru, T., Sadiku, R. ve Huan, Z. (2016), Sustaining The Shelf Life of Fresh Food in Cold Chain–A Burden on The Environment, Alexandria Engineering Journal, 55(2), s.1359-1365.
  • Ali, I., Nagalingam, S. ve Gurd, B. (2018), A Resilience Model for Cold Chain Logistics of Perishable Products, The International Journal of Logistics Management, 29(3), s.922-941.
  • Badia-Melis, R., Mc Carthy, U., Ruiz-Garcia, L., Garcia-Hierro, J. ve Villalba, J. R. (2018), New Trends in Cold Chain Monitoring Applications-A Review, Food Control, 86, s.170-182.
  • Bamakan, S. M. H., Moghaddam, S. G. ve Manshadi, S. D. (2021), Blockchain-Enabled Pharmaceutical Cold Chain: Applications, Key Challenges, and Future Trends, Journal of Cleaner Production, 302, s.127021.
  • Boje, C., Guerriero, A., Kubicki, S. ve Rezgui, Y. (2020). Towards A Semantic Construction Digital Twin: Directions for Future Research. Automation in Construction, 114, s.103179.
  • Chen, J., Xu, S., Chen, H., Zhao, C. ve Xue, K. (2020), Research on Optimization of Food Cold Chain Logistics Distribution Route Based on İnternet of Things, In Journal of Physics: Conference Series, 1544(1), s. 012086, IOP Publishing.
  • Chen, Q., Qian, J., Yang, H. ve Wu, W. (2022), Sustainable Food Cold Chain Logistics: from Microenvironmental Monitoring to Global İmpact, Comprehensive Reviews in Food Science and Food Safety, 21(5), s.4189-4209.
  • Chen, Y. H. (2020), Intelligent Algorithms for Cold Chain Logistics Distribution Optimization Based on Big Data Cloud Computing Analysis. Journal of Cloud Computing, 9(1), s.1-12.
  • Cil, A. Y., Abdurahman, D. ve Cil, I. (2022), Internet of Things Enabled Real Time Cold Chain Monitoring in A Container Port. Journal of Shipping and Trade, 7(1), s.1-26.
  • Cruz, R. M., Vieira, M. C. ve Silva, C. L. (2009), Effect of Cold Chain Temperature Abuses on The Quality of Frozen Watercress (Nasturtium Officinale R. Br.), Journal of Food Engineering, 94(1), s.90-97.
  • Çelikel FG. (2020), Postharvest Quality and Technology of Cut Flowers and Ornamental Plants, BSJ Agri, 3(3), s.225-232.
  • David, L. O., Nwulu, N. I., Aigbavboa, C. O., & Adepoju, O. O. (2022), Integrating Fourth Industrial Revolution (4IR) Technologies into The Water, Energy & Food Nexus for Sustainable Security: A Bibliometric Analysis, Journal of Cleaner Production, 363, 132522.
  • De Saint-Exupery, A. (2009), Internet of Things, Strategic Research Roadmap, s.1-50.
  • Defraeye, T., Shrivastava, C., Berry, T., Verboven, P., Onwude, D., Schudel, S. ve Rossi, R. M. (2021), Digital Twins Are Coming: Will We Need Them in Supply Chains of Fresh Horticultural Produce?, Trends in Food Science & Technology, 109, s.245-258.
  • Degirmenci, İ. T., Karayun, I. ve Akyildirim, O. O. (2017), Cold Chain Logistics for Frozen Food At Tourism Destinations, Journal of Management Marketing and Logistics, 4(2), s.159-167.
  • Demir, S., Aktas, E. ve Paksoy, T. (2021), Cold Chain Logistics: The Case of Turkish Airlines Vaccine Distribution. In Adapting to The Future: How Digitalization Shapes Sustainable Logistics and Resilient Supply Chain Management, Proceedings of The Hamburg International Conference of Logistics (HICL), 31, s. 771-798, Berlin: epubli GmbH.
  • Demiray, E. ve Tülek, Y. (2010), Donmuş Muhafaza Sırasında Meyve ve Sebzelerde Oluşan Kalite Değişimleri, Akademik Gıda, 8(2), s.36-44.
  • Demirci, S.B. (2020), Soğuk Zincir Lojistiğinde Tedarik Zincirinin Önemi ve Yaş Sebze-Meyve Örneği: Bir Literatür Taraması, Niğde Ömer Halisdemir Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 2(1), s.52-62.
  • Eldener, E.(2019), Gıda ve Soğuk Zincir Lojistiği İçin Eğitime Yatırım Şart, https://www.utikad.org.tr/Detay/Sektor-Haberleri/25410/gida-ve-soguk-zincir-lojistigi-icin-egitime-yatirim-sart, (Erişim Tarihi: 10.11.2022).
  • Erturan, İ. ve Ergin, E. (2018), Dijital Denetim ve Dijital İkiz Yöntemi. Muhasebe Bilim Dünyası Dergisi, 20(4), s.810-830.
  • Gao, Z. ve Li, D. (2022), Blockchain-Based Neural Network Model for Agricultural Product Cold Chain Coordination, Computational Intelligence and Neuroscience, s.1-12.
  • Gupta, V. K., Chaudhuri, A. ve Tiwari, M. K. (2019), Modeling for Deployment of Digital Technologies in The Cold Chain, IFAC-PapersOnLine, 52(13), s.1192-1197.
  • Gustavsson, J., Cederberg, C., Sonesson, U., Van Otterdijk, R. ve Meybeck, A. (2011), Global food losses and food waste, Save Food Congress, The Swedish Institute for Food and Biotechnology.
  • Han, J. W., Li, Q. X., Wu, H. R., Zhu, H. J. ve Song, Y. L. (2019), Prediction of Cooling Efficiency of Forced-Air Precooling Systems Based on Optimized Differential Evolution and İmproved BP Neural Network, Applied Soft Computing, 84, s.105733.
  • Han, J. W., Zuo, M., Zhu, W. Y., Zuo, J. H., Lü, E. L. ve Yang, X. T. (2021), A Comprehensive Review of Cold Chain Logistics for Fresh Agricultural Products: Current Status, Challenges, and Future Trends, Trends in Food Science & Technology, 109, s.1-47.
  • He, B. ve Yin, L. (2021), Prediction Modelling of Cold Chain Logistics Demand Based on Data Mining Algorithm, Mathematical Problems in Engineering, s.1-9.
  • https://unece.org/DAM/trans/main/wp11/ATP_publication/ATP-2016e_-def-web.pdf, (Erişim Tarihi: 01.11.2022).
  • https://www.fao.org/nr/sustainability/food-loss-and-waste/en/, (Erişim Tarihi: 05.10.2022).
  • https://www.fortunebusinessinsights.com/cold-chain-logistics-market-106305, (Erişim Tarihi: 16.10.2022).
  • https://www.gcca.org/sites/default/files/2018%20GCCA%20Cold%20Storage%20Capacity%20Report%20final.pdf, (Erişim Tarihi: 13.10.2022).
  • https://www.resmigazete.gov.tr/eskiler/2021/07/20210702-2.htm, (Erişim Tarihi: 03.11.2022).
  • Hu, G., Mu, X., Xu, M. ve Miller, S. A. (2019), Potentials of GHG Emission Reductions From Cold Chain Systems: Case Studies of China and The United States, Journal of Cleaner Production, 239, s.118053.
  • Izikki, K., El Alami, J., & Hlyal, M. (2021), The use of the internet of things in the cold chain logistics for a better vaccine transportation: A state of the art, In 4th International Conference on Innovative Research in Science Engineering and Technology, Milan , s.2-13.
  • İpekçi, E. ve Tanyaş, M. (2021), Soğuk Zincir Lojistiği Uygulamaları ve Türkiye’de Soğuk Zincir Lojistiğinin Swot Analizi, Dicle Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (26), s. 46-64.
  • Jeschke, S. ve Grassmann, R. (2021), Development of a Generic Implementation Strategy of Digital Twins in Logistics Systems under Consideration of the German Rail Transport, Applied Sciences, 11(21), 10289.
  • Kohli, P. (2019), Public-Private Knowledge Partnership–Redefining The Cold-Chain, Agriculture for Development, 36, s.11-15.
  • Köroglu, Y. (2017). Yapay Zekâ’nın Teorik ve Pratik Sınırları. Bogaziçi Üniversitesi Yayınevi, s.1-10.
  • Küçüktürkmen, B. ve Bozkır, A. (2018), Özel Saklama Koşulu Gerektiren veya Soğuk Zincire Tabi İlaçlar ve Uygulamalar Açısından Değerlendirmeler, Türk Hijyen ve Deneysel Biyoloji Dergisi, 75(3), s.305-322.
  • Loisel, J., Duret, S., Cornuéjols, A., Cagnon, D., Tardet, M., Derens-Bertheau, E. ve Laguerre, O. (2021), Cold Chain Break Detection and Analysis: Can Machine Learning Help?, Trends in Food Science & Technology, 112, s. 391-399.
  • Makridakis, S. ve Christodoulou, K. (2019), Blockchain: Current challenges and future prospects/applications. Future Internet, 11(12), s.1-16.
  • Masudin, I., Ramadhani, A., Restuputri, D. P., & Amallynda, I. (2021). The effect of traceability system and managerial initiative on Indonesian food cold chain performance: A Covid-19 pandemic perspective. Global Journal of Flexible Systems Management, 22(4), 331-356.
  • Meneghetti, A. ve Monti, L. (2015), Greening The Food Supply Chain: An Optimisation Model for Sustainable Design of Refrigerated Automated Warehouses, International Journal of Production Research, 53(21), s.6567-6587.
  • Mercier, S., Villeneuve, S., Mondor, M. ve Uysal, I. (2017), Time–Temperature Management Along The Food Cold Chain: A Review of Recent Developments, Comprehensive Reviews in Food Science and Food Safety, 16(4), s.1-21.
  • Niranjanamurthy, M., Nithya, B. N., & Jagannatha, S. J. C. C. (2019), Analysis of Blockchain technology: pros, cons and SWOT, Cluster Computing, 22(6), s.14743-14757.
  • Nofer, M., Gomber, P., Hinz, O. ve Schiereck, D. (2017), Blockchain, Business &Information Systems Engineering, 59(3), s.183-187.
  • Powell-Palm, M. J. ve Rubinsky, B. (2019), A Shift from The Isobaric to The Isochoric Thermodynamic State Can Reduce Energy Consumption and Augment Temperature Stability İn Frozen Food Storage, Journal of Food Engineering, 251, s.1-10.
  • Qian, J., Yu, Q., Jiang, L., Yang, H. ve Wu, W. (2022), Food Cold Chain Management Improvement: A Conjoint Analysis on COVID-19 and Food Cold Chain Systems, Food Control, 137, s.108940.
  • Ren, Q. S., Fang, K., Yang, X. T. ve Han, J. W. (2022), Ensuring The Quality of Meat in Cold Chain Logistics: A Comprehensive Review, Trends in Food Science & Technology, 119, s.133-151.
  • Sagiroglu, S. ve Sinanc, D. (2013), Big Data: A Review. In 2013 International Conference on Collaboration Technologies and Systems (CTS -IEEE), s. 42-47.
  • Shen, L., Yang, Q., Hou, Y. ve Lin, J. (2022), Research on Information Sharing Incentive Mechanism of China's Port Cold Chain Logistics Enterprises Based on Blockchain, Ocean & Coastal Management, 225, s.106229.
  • Shoji, K., Schudel, S., Onwude, D., Shrivastava, C. ve Defraeye, T. (2022), Mapping The Postharvest Life of Imported Fruits From Packhouse To Retail Stores Using Physics-Based Digital Twins. Resources, Conservation and Recycling, 176, s.105914.
  • Si, Y. (2022), Agricultural Cold Chain Logistics Mode Based on Multi-Mode Blockchain Data Model, Computational Intelligence and Neuroscience, s.1-12.
  • Steinka, I., Barone, C., Parisi, S. ve Micali, M. (2017), Technology and Chemical Features of Frozen Vegetables, In The Chemistry of Frozen Vegetables, s. 23-29.
  • Sun, X., Gao, L. ve Liang, Y. (2019), Research on Big Data Acquisition and Application of Cold Chain Logistics Based on Artificial Intelligence and Energy Internet of Things, In IOP Conference Series: Earth and Environmental Science, 252(5), s.052052.
  • Talay, I. (2020), Soğuk Zincir Lojistiği Gerektiren Uluslararası Ticarette Nesnelerin İnternetinin Kullanımı, Third Sector Social Economic Review, 55(2), s. 1169-1187.
  • Tektaş, A. ve Tanyaş, M.(2020), Lojistik ve Gıda Zincirinde İyileştirmeler, Yayın No: TÜSİAD-T/2020-03/617, s.1-40.
  • Tsaramirsis, G., Kantaros, A., Al-Darraji, I., Piromalis, D., Apostolopoulos, C., Pavlopoulou, A., ... & Khan, F. Q. (2022), A Modern Approach Towards an İndustry 4.0 Model: From Driving Technologies to Management. Journal of Sensors, s.1-18.
  • Wang, K. Y. ve Yip, T. L. (2018), Cold-Chain Systems in China and Value-Chain Analysis, In Finance and Risk Management For International Logistics and The Supply Chain, s.217-241.
  • Wu, W., Shen, L., Zhao, Z., Harish, A. R., Zhong, R. Y., & Huang, G. Q. (2023). Internet of Everything and Digital Twin enabled Service Platform for Cold Chain Logistics. Journal of Industrial Information Integration, 100443.
  • Xie, R., Huang, H., Zhang, Y. ve Yu, P. (2022), Coupling Relationship between Cold Chain Logistics and Economic Development: A İnvestigation From China. Plos One, 17(2), s.e0264561.
  • Xu, M., David, J. M., & Kim, S. H. (2018), The Fourth İndustrial Revolution: Opportunities and Challenges, International journal of financial research, 9(2), s.90-95.
  • Zhang, H., Qiu, B. ve Zhang, K. (2017), A New Risk Assessment Model for Agricultural Products Cold Chain Logistics, Industrial management & data systems, 117(9), 1800-1816.
  • Zhang, X., Sun, Y. ve Sun, Y. (2022), Research on Cold Chain Logistics Traceability System of Fresh Agricultural Products Based on Blockchain, Computational Intelligence and Neuroscience, s.1-13.
  • Zhang, Y., Liu, Y., Jiong, Z., Zhang, X., Li, B. ve Chen, E. (2021), Development and Assessment of Blockchain‐Iot‐Based Traceability System for Frozen Aquatic Product, Journal of Food Process Engineering, 44(5), s. e13669.
  • Zhao, H., Liu, S., Tian, C., Yan, G. ve Wang, D. (2018), An Overview of Current Status of Cold Chain in China, International Journal of Refrigeration, 88, s. 1-35.
  • Zheng, C., Peng, B., & Wei, G. (2020), Operational Risk Modeling for Cold Chain Logistics System: A Bayesian Network Approach, Kybernetes, 50(2), s.550-567.
Toplam 66 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Araştırma Makaleleri
Yazarlar

Aslıhan Turgut 0000-0002-7836-8513

Proje Numarası Yoktur
Erken Görünüm Tarihi 31 Temmuz 2023
Yayımlanma Tarihi 31 Temmuz 2023
Gönderilme Tarihi 29 Kasım 2022
Yayımlandığı Sayı Yıl 2023

Kaynak Göster

APA Turgut, A. (2023). Soğuk Zincir Lojistiğinde Yeni Nesil Teknolojilerin Kullanımı. Abant Sosyal Bilimler Dergisi, 23(2), 772-782. https://doi.org/10.11616/asbi.1211537
AMA Turgut A. Soğuk Zincir Lojistiğinde Yeni Nesil Teknolojilerin Kullanımı. ASBİ. Temmuz 2023;23(2):772-782. doi:10.11616/asbi.1211537
Chicago Turgut, Aslıhan. “Soğuk Zincir Lojistiğinde Yeni Nesil Teknolojilerin Kullanımı”. Abant Sosyal Bilimler Dergisi 23, sy. 2 (Temmuz 2023): 772-82. https://doi.org/10.11616/asbi.1211537.
EndNote Turgut A (01 Temmuz 2023) Soğuk Zincir Lojistiğinde Yeni Nesil Teknolojilerin Kullanımı. Abant Sosyal Bilimler Dergisi 23 2 772–782.
IEEE A. Turgut, “Soğuk Zincir Lojistiğinde Yeni Nesil Teknolojilerin Kullanımı”, ASBİ, c. 23, sy. 2, ss. 772–782, 2023, doi: 10.11616/asbi.1211537.
ISNAD Turgut, Aslıhan. “Soğuk Zincir Lojistiğinde Yeni Nesil Teknolojilerin Kullanımı”. Abant Sosyal Bilimler Dergisi 23/2 (Temmuz 2023), 772-782. https://doi.org/10.11616/asbi.1211537.
JAMA Turgut A. Soğuk Zincir Lojistiğinde Yeni Nesil Teknolojilerin Kullanımı. ASBİ. 2023;23:772–782.
MLA Turgut, Aslıhan. “Soğuk Zincir Lojistiğinde Yeni Nesil Teknolojilerin Kullanımı”. Abant Sosyal Bilimler Dergisi, c. 23, sy. 2, 2023, ss. 772-8, doi:10.11616/asbi.1211537.
Vancouver Turgut A. Soğuk Zincir Lojistiğinde Yeni Nesil Teknolojilerin Kullanımı. ASBİ. 2023;23(2):772-8.