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Risks Related to Suppliers and Risk Management in Food Supply during Disaster Preparedness and Response Phases

Year 2023, Volume: 8 Issue: 2, 303 - 311, 18.01.2024

Burak Can Altay , Abdullah Okumuş

https://doi.org/10.26650/JTL.2023.1376489

Abstract

This paper examines past studies using the bibliometric literature analysis method. This research aims to gather studies focusing on risks concerning suppliers in food supply and risk management in food supply before and after disasters in meaningful clusters and examine them in detail. In addition, it was aimed to determine the direct or indirect risks related to suppliers in food supply before and after disasters. The results of the research indicates that past studies mostly focus on the risks concerning suppliers in the general food supply chain before and after disasters. These risks are addressed in the first cluster. The second and third clusters focus on the risks related to suppliers in the sustainable and green food supply chain in disasters and the risks related to suppliers in the agricultural food supply chain in disasters, respectively. This research have also determined the main direct or indirect risks concerning suppliers in food supply chain before and after disasters. Accordingly, the most frequent risks are supplier quality risk, quantity risk, delivery risk, operational risk, bankruptcy risk, supplier-related transportation and logistics error risk, supplier’s risk of skilled employee shortage, risks arising from supplier’s production and quality system failures, internal activity risk, and the risk of errors occurring in the supplier’s information technologies.

Keywords

Disaster Management Food Procurement Food Supply in Disasters

References

  • Ababou, M., Chelh, S., & Elhiri, M. (2023). A Bibliometric Analysis of the Literature on Food Industry Supply Chain Resilience: Investigating Key Contributors and Global Trends. Sustainability, 15(11), 8812. http://dx.doi.org/10.3390/su15118812 google scholar
  • Azizsafaei, M., Sarwar, D., Fassam, L., Khandan, R., & Hosseinian-Far, A. (2021). A critical overview of food supply chain risk management. In Cybersecurity, Privacy and Freedom Protection in the Connected World, Proceedings of the 13th International Conference on Global Security, Safety and Sustainability, London, Cham: Springer International Publishing, 413-429. http://dx.doi.org/10.1007/978-3-030-68534-8_26 google scholar
  • Benabdallah, C., El-Amraoui, A., Delmotte, F., & Frikha, A. (2022). Evaluation on risks of sustainable supply chain based on inte-grated rough DEMATEL in Tunisian dairy industry. International Journal of Supply and Operations Management, 9(3), 338-359. http://dx.doi.org/10.1109/gol49479.2020.9314712 google scholar
  • Cui, Y., & Basnet, C. (2015). An exploratory study of supply chain risk management in the New Zealand fast food industry. International Journal of Logistics Systems and Management, 20(2), 199-215. http://dx.doi.org/10.1504/ylsm.2015.067256 google scholar
  • Dang, D. C., Currie, C. S., Onggo, B. S., Chaerani, D., & Achmad, A. L. H. (2023). Budget allocation of food procurement for natural disaster response. European Journal of Operational Research, http://dx.doi.org/10.1016/j.ejor.2023.05.015 google scholar
  • Das, K. (2019). Integrating lean, green, and resilience criteria in a sustainable food supply chain planning model. International Journal of Mathematical, Engineering and Management Sciences, 4(2), 259-275. http://dx.doi.Org/10.33889/ijmems.2019.4.2-022 google scholar
  • Doost, P. B. (2016). Using SRM Principles for SCM Interruption Risks: Case of Importing Food From Greece. In International Conference on Management, Leadership & Governance, Academic Conferences International Limited, 492-498. google scholar
  • Foroozesh, N., Karimi, B., & Mousavi, S. M. (2022). Green-resilient supply chain network design for perishable products considering route risk and horizontal collaboration under robust interval-valued type-2 fuzzy uncertainty: A case study in food industry. Journal of Environmental Management, 307, 114470. http://dx.doi.org/10.1016/j.jenvman.2022.114470 google scholar
  • Goerlandt, F., Islam, S. (2021). A Bayesian Network risk model for estimating coastal maritime transportation delays following an earthquake in British Columbia. Reliability Engineering & System Safety, 214, 107708. http://dx.doi.org/10.1016/j.ress.2021.107708 google scholar
  • Gwaka, L., Dubihlela, J. (2020). The resilience of smallholder livestock farmers in sub-saharan Africa and the risks imbedded in rural livestock systems. Agriculture, 10(7), 270. http://dx.doi.org/10.3390/agriculture10070270 google scholar
  • Kiselev, V. M., Kiseleva, T. F., Lipatova, L. P., Miller, Y. Y., Petropavlovskaya, A. V., & Kabelkaite-Vaitkiene, J. A. (2021). The Role of Geographic Information Systems in Ensuring Food Security in Countries During Epidemiological Crises”. In IOP Conference Series: Earth and Environmental Science, 666(2), 022088. http://dx.doi.org/10.1088/1755-1315/666/2/022088 google scholar
  • Madzık, P., Falat, L., & Zimon, D. (2023). Supply chain research overview from the early eighties to Covid era-Big data approach based on Latent Dirichlet Allocation. Computers & Industrial Engineering, 109520. http://dx.doi.org/10.1016/j.cie.2023.109520 google scholar
  • Mas-Tur, A., Roig- Tierno, N., Sarin, S., Haon, C., Sego, T., Belkhouja, M., & Merigo, J. M. (2021). Co-citation, bibliographic coupling and leading authors, institutions and countries in the 50 years of Technological Forecasting and Social Change. Technological Forecasting and Social Change, 165, 120487. http://dx.doi.org/10.1016/j.techfore.2020.120487 google scholar
  • Münzberg, T., Berbner, U., Comes, T., Friedrich, H., GroB, W., Pfohl, H. C., & Schultmann, F. (2013). Decision support for critical infrastructure disruptions: An integrated approach to secure food supply. Proceedings of the 10th International ISCRAM Conference - Baden-Baden, Germany, 312-316. google scholar
  • Ozguven, E. E., Ozbay, K. (2015). An RFID-based inventory management framework for emergency relief operations. Transportation Research Part C: Emerging Technologies, 57, 166-187. http://dx.doi.org/10.1016/j.trc.2015.06.021 google scholar
  • Pandey, V., Pant, M., & Snasel, V. (2022). Blockchain technology in food supply chains: Review and bibliometric analysis. Technology in Society, 69, 101954. http://dx.doi.org/10.1016/j.techsoc.2022.101954 google scholar
  • Parakash, S., Soni, G., Rathore, A. P. S., & Singh, S. (2017). Risk analysis and mitigation for perishable food supply chain: a case of dairy industry, Benchmarking: An International Journal, 24(1), 2-23. http://dx.doi.org/10.1108/by-07-2015-0070 google scholar
  • Rathore, Rishabh., Thakkar, Jitesh J., & Jha, Jitendra Kumar. (2017). A quantitative risk assessment methodology and evaluation of food supply chain. The International Journal of Logistics Management, 28(4), 1272-1293. http://dx.doi.org/10.1108/ylm-08-2016-0198 google scholar
  • Rejeb, A., Rejeb, K., Appolloni, A., Iranmanesh, M., Treiblmaier, H., & Jagtap, S. (2022). Exploring food supply chain trends in the COVID-19 era: A bibliometric review. Sustainability, 14(19), 12437. http://dx.doi.org/10.1109/icemms.2011.6015732 google scholar
  • Ren, Y., Hu, Q., & Huang, X. (2011). Researching on benefit assignment of logistics system in cold chain for food. In 2011 2nd IEEE International Conference on Emergency Management and Management Sciences, IEEE, 513-515. http://dx.doi.org/10.1109/icemms.2011.6015732 google scholar
  • Rinaldi, M., & Bottani, E. (2023). How did COVID-19 affect logistics and supply chain processes? Immediate, short and medium-term evidence from some industrial fields of Italy. International Journal of Production Economics, 262, 108915. http://dx.doi.org/10.1016/j.ype.2023.108915 google scholar
  • Robinson, J. L., Thomas, R. W., & Manrodt, K. B. (2013). Food for thought in the transportation carrier-selection decision”. Transportation Journal, 52(2), 277-296. http://dx.doi.org/10.5325/transportationj.52.2.0277 google scholar
  • Shafiee, M., Zare-Mehrjerdi, Y., Govindan, K., & Dastgoshade, S:. (2022). A causality analysis of risks to perishable product supply chain networks during the COVID-19 outbreak era: An extended DEMATEL method under Pythagorean fuzzy environment. Transportation Research Part E: Logistics and Transportation Review, 163, 2022, 102759. http://dx.doi.org/10.1016/j.tre.2022.102759 google scholar
  • Sharma, M., Joshi, S., Luthra, S., Kumar, A. (2021). Managing disruptions and risks amidst COVID-19 outbreaks: role of blockchain technology in developing resilient food supply chains. Operations Management Research, 1-14. http://dx.doi.org/10.1007/s12063-021-00198-9 google scholar
  • Sheu, J. B., & Kuo, H. T. (2020). Dual speculative hoarding: A wholesaler-retailer channel behavioral phenomenon behind potential natural hazard threats. International Journal of Disaster Risk Reduction, 44, 101430. http://dx.doi.org/10.1016/j.ydrr.2019.101430 google scholar
  • Small, H. G., & Koenig, M. E. (1977). “Journal clustering using a bibliographic coupling method”. Information Processing & Management, 13(5), 277-288. http://dx.doi.org/10.1016/0306-4573(77)90017-6 google scholar
  • Sun, Q., Gao, Y., Lu, Q., & Yan, YA. (2023). Pricing and transshipment hybrid strategy for perishable product in two external scenarios for supply disruption. Kybernetes. http://dx.doi.org/10.1108/k-07-2022-0918 google scholar
  • Van Eck, N. J., & Waltman, L. (2013). VOSviewer manual. Leiden: Univeristeit Leiden, 1(1), 1-53. google scholar
  • Yazdani, M., Gonzalez, E. D., Chatterjee, P. (2021). A multi-criteria decision-making framework for agriculture supply chain risk management under a circular economy context”. Management Decision, 59(8), 1801-1826. http://dx.doi.org/10.1108/md-10-2018-1088 google scholar
  • Yazdani, M., Torkayesh, A. E., Chatterjee, P., Fallahpour, A., Montero-Simo, M. J., Araque-Padilla, R. A., & Wong, K. Y. (2022). A fuzzy group decision-making model to measure resiliency in a food supply chain: A case study in Spain. Socio-Economic Planning Sciences, 82, 101257. http://dx.doi.org/10.1016/j.seps.2022.101257 google scholar
  • Zhang, G., Li, G., Peng, J. (2020). Risk assessment and monitoring of green logistics for fresh produce based on a support vector machine. Sustainability, 12(18), 7569. http://dx.doi.org/10.3390/su12187569 google scholar

Afetlere Hazırlık ve Müdahale Aşamalarında Gıda Tedarikinde Tedarikçilerle İlgili Riskler ve Risk Yönetimi

Year 2023, Volume: 8 Issue: 2, 303 - 311, 18.01.2024

Burak Can Altay , Abdullah Okumuş

https://doi.org/10.26650/JTL.2023.1376489

Abstract

Bu araştırmada bibliyometrik literatür analizi yöntemiyle geçmiş çalışmalar incelenmiştir. Literatür analizi ile afetlerde gıda tedarikinde tedarikçilerle ilgili riskler ve risk yönetimine ilişkin çalışmaların anlamlı kümelerde toplanması ve detaylı olarak incelenmesi hedeflenmiştir. Ayrıca, yapılan inceleme sonucunda afetlerde gıda tedarikinde tedarikçilerle ilgili doğrudan veya dolaylı risklerin belirlenmesi amaçlanmıştır. Araştırmanın sonuçları geçmiş çalışmaların en çok birinci kümede ele alınan afetlerde genel gıda tedarik zincirindeki tedarikçilerle ilgili riskler konusuna odaklandığını göstermektedir. Bu konuyu sırasıyla ikinci ve üçüncü kümenin ana odak noktaları olan afetlerde sürdürülebilir ve yeşil gıda tedarik zincirindeki tedarikçilerle ilgili riskler ve tarımsal gıda tedarik zincirindeki tedarikçilerle ilgili riskler konuları takip etmektedir. İncelenen çalışmalarda tedarikçilerle ilgili doğrudan veya dolaylı başlıca risklerin tedarikçi kalitesi riski, tedarik edilebilecek miktar riski, teslimat riski, operasyonel risk, iflas riski, tedarikçi kaynaklı ulaştırma ve lojistik hatası riski, tedarikçinin yetenekli çalışan kıtlığı riski, tedarikçinin üretim ve kalite sistemi arızalarından kaynaklanan riskler, iç faaliyet riski, tedarikçinin bilgi teknolojilerinde hata ortaya çıkma riski olduğu görülmektedir.

Keywords

Afet Yönetimi Gıda Tedariki Afetlerde Gıda Tedariki

References

  • Ababou, M., Chelh, S., & Elhiri, M. (2023). A Bibliometric Analysis of the Literature on Food Industry Supply Chain Resilience: Investigating Key Contributors and Global Trends. Sustainability, 15(11), 8812. http://dx.doi.org/10.3390/su15118812 google scholar
  • Azizsafaei, M., Sarwar, D., Fassam, L., Khandan, R., & Hosseinian-Far, A. (2021). A critical overview of food supply chain risk management. In Cybersecurity, Privacy and Freedom Protection in the Connected World, Proceedings of the 13th International Conference on Global Security, Safety and Sustainability, London, Cham: Springer International Publishing, 413-429. http://dx.doi.org/10.1007/978-3-030-68534-8_26 google scholar
  • Benabdallah, C., El-Amraoui, A., Delmotte, F., & Frikha, A. (2022). Evaluation on risks of sustainable supply chain based on inte-grated rough DEMATEL in Tunisian dairy industry. International Journal of Supply and Operations Management, 9(3), 338-359. http://dx.doi.org/10.1109/gol49479.2020.9314712 google scholar
  • Cui, Y., & Basnet, C. (2015). An exploratory study of supply chain risk management in the New Zealand fast food industry. International Journal of Logistics Systems and Management, 20(2), 199-215. http://dx.doi.org/10.1504/ylsm.2015.067256 google scholar
  • Dang, D. C., Currie, C. S., Onggo, B. S., Chaerani, D., & Achmad, A. L. H. (2023). Budget allocation of food procurement for natural disaster response. European Journal of Operational Research, http://dx.doi.org/10.1016/j.ejor.2023.05.015 google scholar
  • Das, K. (2019). Integrating lean, green, and resilience criteria in a sustainable food supply chain planning model. International Journal of Mathematical, Engineering and Management Sciences, 4(2), 259-275. http://dx.doi.Org/10.33889/ijmems.2019.4.2-022 google scholar
  • Doost, P. B. (2016). Using SRM Principles for SCM Interruption Risks: Case of Importing Food From Greece. In International Conference on Management, Leadership & Governance, Academic Conferences International Limited, 492-498. google scholar
  • Foroozesh, N., Karimi, B., & Mousavi, S. M. (2022). Green-resilient supply chain network design for perishable products considering route risk and horizontal collaboration under robust interval-valued type-2 fuzzy uncertainty: A case study in food industry. Journal of Environmental Management, 307, 114470. http://dx.doi.org/10.1016/j.jenvman.2022.114470 google scholar
  • Goerlandt, F., Islam, S. (2021). A Bayesian Network risk model for estimating coastal maritime transportation delays following an earthquake in British Columbia. Reliability Engineering & System Safety, 214, 107708. http://dx.doi.org/10.1016/j.ress.2021.107708 google scholar
  • Gwaka, L., Dubihlela, J. (2020). The resilience of smallholder livestock farmers in sub-saharan Africa and the risks imbedded in rural livestock systems. Agriculture, 10(7), 270. http://dx.doi.org/10.3390/agriculture10070270 google scholar
  • Kiselev, V. M., Kiseleva, T. F., Lipatova, L. P., Miller, Y. Y., Petropavlovskaya, A. V., & Kabelkaite-Vaitkiene, J. A. (2021). The Role of Geographic Information Systems in Ensuring Food Security in Countries During Epidemiological Crises”. In IOP Conference Series: Earth and Environmental Science, 666(2), 022088. http://dx.doi.org/10.1088/1755-1315/666/2/022088 google scholar
  • Madzık, P., Falat, L., & Zimon, D. (2023). Supply chain research overview from the early eighties to Covid era-Big data approach based on Latent Dirichlet Allocation. Computers & Industrial Engineering, 109520. http://dx.doi.org/10.1016/j.cie.2023.109520 google scholar
  • Mas-Tur, A., Roig- Tierno, N., Sarin, S., Haon, C., Sego, T., Belkhouja, M., & Merigo, J. M. (2021). Co-citation, bibliographic coupling and leading authors, institutions and countries in the 50 years of Technological Forecasting and Social Change. Technological Forecasting and Social Change, 165, 120487. http://dx.doi.org/10.1016/j.techfore.2020.120487 google scholar
  • Münzberg, T., Berbner, U., Comes, T., Friedrich, H., GroB, W., Pfohl, H. C., & Schultmann, F. (2013). Decision support for critical infrastructure disruptions: An integrated approach to secure food supply. Proceedings of the 10th International ISCRAM Conference - Baden-Baden, Germany, 312-316. google scholar
  • Ozguven, E. E., Ozbay, K. (2015). An RFID-based inventory management framework for emergency relief operations. Transportation Research Part C: Emerging Technologies, 57, 166-187. http://dx.doi.org/10.1016/j.trc.2015.06.021 google scholar
  • Pandey, V., Pant, M., & Snasel, V. (2022). Blockchain technology in food supply chains: Review and bibliometric analysis. Technology in Society, 69, 101954. http://dx.doi.org/10.1016/j.techsoc.2022.101954 google scholar
  • Parakash, S., Soni, G., Rathore, A. P. S., & Singh, S. (2017). Risk analysis and mitigation for perishable food supply chain: a case of dairy industry, Benchmarking: An International Journal, 24(1), 2-23. http://dx.doi.org/10.1108/by-07-2015-0070 google scholar
  • Rathore, Rishabh., Thakkar, Jitesh J., & Jha, Jitendra Kumar. (2017). A quantitative risk assessment methodology and evaluation of food supply chain. The International Journal of Logistics Management, 28(4), 1272-1293. http://dx.doi.org/10.1108/ylm-08-2016-0198 google scholar
  • Rejeb, A., Rejeb, K., Appolloni, A., Iranmanesh, M., Treiblmaier, H., & Jagtap, S. (2022). Exploring food supply chain trends in the COVID-19 era: A bibliometric review. Sustainability, 14(19), 12437. http://dx.doi.org/10.1109/icemms.2011.6015732 google scholar
  • Ren, Y., Hu, Q., & Huang, X. (2011). Researching on benefit assignment of logistics system in cold chain for food. In 2011 2nd IEEE International Conference on Emergency Management and Management Sciences, IEEE, 513-515. http://dx.doi.org/10.1109/icemms.2011.6015732 google scholar
  • Rinaldi, M., & Bottani, E. (2023). How did COVID-19 affect logistics and supply chain processes? Immediate, short and medium-term evidence from some industrial fields of Italy. International Journal of Production Economics, 262, 108915. http://dx.doi.org/10.1016/j.ype.2023.108915 google scholar
  • Robinson, J. L., Thomas, R. W., & Manrodt, K. B. (2013). Food for thought in the transportation carrier-selection decision”. Transportation Journal, 52(2), 277-296. http://dx.doi.org/10.5325/transportationj.52.2.0277 google scholar
  • Shafiee, M., Zare-Mehrjerdi, Y., Govindan, K., & Dastgoshade, S:. (2022). A causality analysis of risks to perishable product supply chain networks during the COVID-19 outbreak era: An extended DEMATEL method under Pythagorean fuzzy environment. Transportation Research Part E: Logistics and Transportation Review, 163, 2022, 102759. http://dx.doi.org/10.1016/j.tre.2022.102759 google scholar
  • Sharma, M., Joshi, S., Luthra, S., Kumar, A. (2021). Managing disruptions and risks amidst COVID-19 outbreaks: role of blockchain technology in developing resilient food supply chains. Operations Management Research, 1-14. http://dx.doi.org/10.1007/s12063-021-00198-9 google scholar
  • Sheu, J. B., & Kuo, H. T. (2020). Dual speculative hoarding: A wholesaler-retailer channel behavioral phenomenon behind potential natural hazard threats. International Journal of Disaster Risk Reduction, 44, 101430. http://dx.doi.org/10.1016/j.ydrr.2019.101430 google scholar
  • Small, H. G., & Koenig, M. E. (1977). “Journal clustering using a bibliographic coupling method”. Information Processing & Management, 13(5), 277-288. http://dx.doi.org/10.1016/0306-4573(77)90017-6 google scholar
  • Sun, Q., Gao, Y., Lu, Q., & Yan, YA. (2023). Pricing and transshipment hybrid strategy for perishable product in two external scenarios for supply disruption. Kybernetes. http://dx.doi.org/10.1108/k-07-2022-0918 google scholar
  • Van Eck, N. J., & Waltman, L. (2013). VOSviewer manual. Leiden: Univeristeit Leiden, 1(1), 1-53. google scholar
  • Yazdani, M., Gonzalez, E. D., Chatterjee, P. (2021). A multi-criteria decision-making framework for agriculture supply chain risk management under a circular economy context”. Management Decision, 59(8), 1801-1826. http://dx.doi.org/10.1108/md-10-2018-1088 google scholar
  • Yazdani, M., Torkayesh, A. E., Chatterjee, P., Fallahpour, A., Montero-Simo, M. J., Araque-Padilla, R. A., & Wong, K. Y. (2022). A fuzzy group decision-making model to measure resiliency in a food supply chain: A case study in Spain. Socio-Economic Planning Sciences, 82, 101257. http://dx.doi.org/10.1016/j.seps.2022.101257 google scholar
  • Zhang, G., Li, G., Peng, J. (2020). Risk assessment and monitoring of green logistics for fresh produce based on a support vector machine. Sustainability, 12(18), 7569. http://dx.doi.org/10.3390/su12187569 google scholar
There are 31 citations in total.

Details

Primary Language Turkish
Subjects Transportation, Logistics and Supply Chains (Other)
Journal Section Review
Authors

Burak Can Altay 0000-0002-0572-8848

Abdullah Okumuş 0000-0002-7556-384X

Publication Date January 18, 2024
Submission Date October 16, 2023
Acceptance Date November 20, 2023
Published in Issue Year 2023 Volume: 8 Issue: 2

Cite

APA Altay, B. C., & Okumuş, A. (2024). Afetlere Hazırlık ve Müdahale Aşamalarında Gıda Tedarikinde Tedarikçilerle İlgili Riskler ve Risk Yönetimi. Journal of Transportation and Logistics, 8(2), 303-311. https://doi.org/10.26650/JTL.2023.1376489
AMA Altay BC, Okumuş A. Afetlere Hazırlık ve Müdahale Aşamalarında Gıda Tedarikinde Tedarikçilerle İlgili Riskler ve Risk Yönetimi. JTL. January 2024;8(2):303-311. doi:10.26650/JTL.2023.1376489
Chicago Altay, Burak Can, and Abdullah Okumuş. “Afetlere Hazırlık Ve Müdahale Aşamalarında Gıda Tedarikinde Tedarikçilerle İlgili Riskler Ve Risk Yönetimi”. Journal of Transportation and Logistics 8, no. 2 (January 2024): 303-11. https://doi.org/10.26650/JTL.2023.1376489.
EndNote Altay BC, Okumuş A (January 1, 2024) Afetlere Hazırlık ve Müdahale Aşamalarında Gıda Tedarikinde Tedarikçilerle İlgili Riskler ve Risk Yönetimi. Journal of Transportation and Logistics 8 2 303–311.
IEEE B. C. Altay and A. Okumuş, “Afetlere Hazırlık ve Müdahale Aşamalarında Gıda Tedarikinde Tedarikçilerle İlgili Riskler ve Risk Yönetimi”, JTL, vol. 8, no. 2, pp. 303–311, 2024, doi: 10.26650/JTL.2023.1376489.
ISNAD Altay, Burak Can - Okumuş, Abdullah. “Afetlere Hazırlık Ve Müdahale Aşamalarında Gıda Tedarikinde Tedarikçilerle İlgili Riskler Ve Risk Yönetimi”. Journal of Transportation and Logistics 8/2 (January 2024), 303-311. https://doi.org/10.26650/JTL.2023.1376489.
JAMA Altay BC, Okumuş A. Afetlere Hazırlık ve Müdahale Aşamalarında Gıda Tedarikinde Tedarikçilerle İlgili Riskler ve Risk Yönetimi. JTL. 2024;8:303–311.
MLA Altay, Burak Can and Abdullah Okumuş. “Afetlere Hazırlık Ve Müdahale Aşamalarında Gıda Tedarikinde Tedarikçilerle İlgili Riskler Ve Risk Yönetimi”. Journal of Transportation and Logistics, vol. 8, no. 2, 2024, pp. 303-11, doi:10.26650/JTL.2023.1376489.
Vancouver Altay BC, Okumuş A. Afetlere Hazırlık ve Müdahale Aşamalarında Gıda Tedarikinde Tedarikçilerle İlgili Riskler ve Risk Yönetimi. JTL. 2024;8(2):303-11.


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.