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A model for agribusiness supply chain risk management using fuzzy logic. Case study: Grain route from Ukraine to Poland

Author

Listed:
  • Medvediev, Ievgen
  • Muzylyov, Dmitriy
  • Montewka, Jakub

Abstract

In order to establish new logistics routes, it is necessary to address several technical and organizational issues, among others. One of the most important criteria for evaluating the performance of a supply chain is the delivery time, proactive consideration of potential hazards and associated uncertainties that may occur along the route. However, the existing solutions are often passive and reactive, based on statistics, thus not leaving much room for proactive risk mitigation measures. Therefore, there is a need for a foreseeing modern approach to account for the impact of anticipated hazards on delivery time. The aim of this study is to develop a model for determining delivery time considering expected risk factors (RF), based on mathematical tools of fuzzy logic and actual background knowledge elicited from the literature and experts. The paper identifies primary technical and operational hazards that occur during loading and transport and converts them into risk factors. The risk factors are then quantified and fed into a fuzzy model developed with the Matlab Fuzzy Logic Toolbox and assembled in the Simulink environment. The application of the model is demonstrated in three case studies reflecting three potential grain supply chains (SC) from Ukraine to Poland: classical transport by rail grain hoppers (SC1); transport by containers on railway platforms (SC2); transport by bulk grain trucks (SC3). The resulting travel time for the analysed SCs is between 49 and 71 h for SC1, between 45 and 62 h for SC2 and between 42 and 62 h for SC3. In addition, the outliers of the travel time values beyond the 1.5 quantiles were defined according to the uncertainty band. The results of the fuzzy model were compared with the results of the deterministic approach in the concurrent validation and a good agreement was found. This proves the appropriateness of the fuzzy model calculations and the possibility of using alternative SCs in grain delivery. The main benefit of the proposed model is a new universal tool based on a holistic and active approach to risk assessment using fuzzy logic.

Suggested Citation

  • Medvediev, Ievgen & Muzylyov, Dmitriy & Montewka, Jakub, 2024. "A model for agribusiness supply chain risk management using fuzzy logic. Case study: Grain route from Ukraine to Poland," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 190(C).
    • Handle: RePEc:eee:transe:v:190:y:2024:i:c:s1366554524002825
    DOI: 10.1016/j.tre.2024.103691
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    as
    1. Divya Choudhary & Ajay Kumar & Baofeng Huo, 2023. "Examination of sustainability risk in freight shipping based on the theory of planned behavior with temporal analysis," Post-Print hal-04325731, HAL.
    2. Nadezda JANKELOVA & Dusan MASAR & Stefania MORICOVA, 2017. "Risk factors in the agriculture sector," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 63(6), pages 247-258.
    3. Pappas, Ilias O. & Woodside, Arch G., 2021. "Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing," International Journal of Information Management, Elsevier, vol. 58(C).
    4. Peyman Zandi & Mohammad Rahmani & Mojtaba Khanian & Amir Mosavi, 2020. "Agricultural Risk Management Using Fuzzy TOPSIS Analytical Hierarchy Process (AHP) and Failure Mode and Effects Analysis (FMEA)," Agriculture, MDPI, vol. 10(11), pages 1-27, October.
    5. Nishat Alam Choudhary & Shalabh Singh & Tobias Schoenherr & M. Ramkumar, 2023. "Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications," Annals of Operations Research, Springer, vol. 322(2), pages 565-607, March.
    6. Jingwen Li & Ke Jing & Myroslav Khimich & Lixin Shen, 2023. "Optimization of Green Containerized Grain Supply Chain Transportation Problem in Ukraine Considering Disruption Scenarios," Sustainability, MDPI, vol. 15(9), pages 1-21, May.
    7. Umair Waqas & Azmawani Abd Rahman & Normaz Wana Ismail & Norazlyn Kamal Basha & Sonia Umair, 2023. "Influence of supply chain risk management and its mediating role on supply chain performance: perspectives from an agri-fresh produce," Annals of Operations Research, Springer, vol. 324(1), pages 1399-1427, May.
    8. Choudhary, Divya & Kumar, Ajay & Huo, Baofeng, 2023. "Examination of sustainability risk in freight shipping based on the theory of planned behavior with temporal analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 176(C).
    9. Burhan Turksen, I. & Willson, Ian A., 1995. "A fuzzy set model for market share and preference prediction," European Journal of Operational Research, Elsevier, vol. 82(1), pages 39-52, April.
    10. Zemin Zheng & Lei Liu & Yang Li & Ni Zhao, 2023. "High-dimensional statistical inference via DATE," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 52(1), pages 65-79, January.
    11. Aqlan, Faisal & Lam, Sarah S., 2015. "A fuzzy-based integrated framework for supply chain risk assessment," International Journal of Production Economics, Elsevier, vol. 161(C), pages 54-63.
    12. Resende, Carlos Henrique Lopes & Lima-Junior, Francisco Rodrigues & Carpinetti, Luiz Cesar Ribeiro, 2023. "Decision-making models for formulating and evaluating supplier development programs: A state-of-the-art review and research paths," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
    13. Xiaojun Luo & Xiangyang Zhang & Jiawen Bao & Ling Chang & Weixin Xi, 2023. "Statistical Modeling of Shadows in SAR Imagery," Mathematics, MDPI, vol. 11(21), pages 1-18, October.
    14. Bruns, Stephan & Herwartz, Helmut & Ioannidis, John P.A. & Islam, Chris-Gabriel & Raters, Fabian H. C., 2023. "Statistical reporting errors in economics," MetaArXiv mbx62, Center for Open Science.
    15. Riqing Liao & Wei Liu & Yuandao Yuan, 2023. "Resilience Improvement and Risk Management of Multimodal Transport Logistics in the Post–COVID-19 Era: The Case of TIR-Based Sea–Road Multimodal Transport Logistics," Sustainability, MDPI, vol. 15(7), pages 1-21, March.
    16. Chen, Yunxiao & Li, Chengcheng & Ouyang, Jing & Xu, Gongjun, 2023. "Statistical inference for noisy incomplete binary matrix," LSE Research Online Documents on Economics 118350, London School of Economics and Political Science, LSE Library.
    17. Ur Rehman, Obaid & Ali, Yousaf, 2021. "Optimality study of China’s crude oil imports through China Pakistan economic corridor using fuzzy TOPSIS and Cost-Benefit analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
    18. Newall, Philip W.S. & Walasek, Lukasz & Hassanniakalager, Arman & Russell, Alex M.T. & Ludvig, Elliot A. & Browne, Matthew, 2023. "Statistical risk warnings in gambling," Behavioural Public Policy, Cambridge University Press, vol. 7(2), pages 219-239, April.
    19. Georgii Prokudin & Oleksiy Chupaylenko & Viktoriia Lebid & Olena Denys & Tetiana Khobotnia & Alina Nazarova, 2022. "Logistics of freight transportation and customs service in international transportation," Chapters of Monographs, in: Logistics systems: technological and economic aspects of efficiency, chapter 2, pages 38–74, PC TECHNOLOGY CENTER.
    20. Wan, Chengpeng & Yan, Xinping & Zhang, Di & Qu, Zhuohua & Yang, Zaili, 2019. "An advanced fuzzy Bayesian-based FMEA approach for assessing maritime supply chain risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 222-240.
    21. Fan, Di & Lin, Yongjia & Fu, Xiaoqing (Maggie) & Yeung, Andy C.L. & Shi, Xuanyi, 2023. "Supply chain disruption recovery in the evolving crisis—Evidence from the early COVID-19 outbreak in China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 176(C).
    22. Segismundo S. Izquierdo & Luis R. Izquierdo, 2018. "Mamdani Fuzzy Systems for Modelling and Simulation: A Critical Assessment," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(3), pages 1-2.
    23. McDougall, Natalie & Wagner, Beverly & MacBryde, Jill, 2022. "Competitive benefits & incentivisation at internal, supply chain & societal level circular operations in UK agri-food SMEs," Journal of Business Research, Elsevier, vol. 144(C), pages 1149-1162.
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