Ranking of criteria affecting humanitarian supply chain services based on blockchain platforms using multi-criteria decision-making methods

Document Type : Original Article

Authors

1 Department of Industrial Engineering, Najaf Abad Branch, Islamic Azad University, Najaf Abad, Iran

2 Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran

3 Department of Industrial Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran

4 Department of Management, Faculty of Administrative Sciences and Economics, University of Isfahan, Isfahan, Iran

Abstract

In this chain, things such as lack of access to up-to-date information, lack of ability to track inventory and information, and little coordination between chain operators, more coordination between the flow of materials and financial information, have necessitated the use of these technologies. Current research has been carried out in order to fill the research gap and investigate the impact criteria on humanitarian supply chain services on the blockchain platform. Also, in this research, after preparing a list of criteria affecting humanitarian supply chain services based on blockchain, the decision-making trial and evaluation laboratory (DEMATEL) approach has been considered to draw a cause-and-effect diagram among the effective criteria. Based on the cause-and-effect diagram, criteria such as the cost of the relief supply chain, delivery time, and tracking ability, in the group of cause criteria and criteria such as the level of trust building, demand rate, cooperation rate among supply chain actors, deception rate in operations in the group of disabled criteria were categorized.

Keywords

Main Subjects

References

  1. Rahseparfard, K., Moradi, M., & Teymoori, S. (2022). Identifying and Ranking the Effective Factors in Improving the Quality of Student Dormitories by Comparing Analytical Network Process (ANP) and DEMATEL Methods. Case Study: Student Dormitories of the University of Qom. Engineering Management and Soft Computing, 7(2), 221-245. https://doi.org/10.22091/jemsc.2018.2228.1054
  2. Karbasian, M., Kazemi, M., & Iranpoor, G. (2020). Combining Fuzzy Dematel and Product Design Structure Matrix for Clustring Nozzle. Engineering Management and Soft Computing, 6(1), 29-62. https://doi.org/10.22091/jemsc.2018.2866.1065
  3. Yektaei Rudsari, A. M., Safaei, N., & Mirzaei Ghazani, M. (2024). Identifying barriers in the field of electronic payments based on blockchain technology: A multi-criteria decision-making approach. Engineering Management and Soft Computing, 10(1), 123-142 https://doi.org/10.22091/jemsc.2024.11160.1193
  4. Lund, E. H., Jaccheri, L., Li, J., Cico, O., & Bai, X. (2019, May). Blockchain and sustainability: A systematic mapping study. In 2019 IEEE/ACM 2nd International Workshop on Emerging Trends in Software Engineering for Blockchain (WETSEB) (pp. 16-23). IEEE. https://doi.org/10.1109/WETSEB.2019.00009.
  5. Bai, C., & Sarkis, J. (2020). A supply chain transparency and sustainability technology appraisal model for blockchain technology. International journal of production research, 58(7), 2142-2162. https://doi.org/10.1080/00207543.2019.1708989.
  6. Case, A. L. A. (2019). Blockchain Technology Applied to the Cocoa Export Supply Chain. Handbook of Research on Emerging Technologies for Effective Project Management, 323-339. https://doi.org/10.4018/978-1-5225-9993-7.ch019.
  7. Maroun, E. A., Daniel, J., & Fynes, B. (2019). Adoption of blockchain technology in supply chain transparency: Australian manufacturer case study. Proceedings of the 10th European Decision Sciences Institute (EDSI). http://hdl.handle.net/10545/624150.
  8. Kouhizadeh, M., & Sarkis, J. (2020). Blockchain characteristics and green supply chain advancement. In Global perspectives on green business administration and sustainable supply chain management (pp. 93-109). IGI Global.https://doi.org/10.4018/978-1-7998-2173-1.ch005.
  9. Kamble, S. S., Gunasekaran, A., & Sharma, R. (2020). Modeling the blockchain enabled traceability in agriculture supply chain. International Journal of Information Management, 52, 101967. https://doi.org/10.1016/j.ijinfomgt.2019.05.023.
  10. Schmidt, C. G., & Wagner, S. M. (2019). Blockchain and supply chain relations: A transaction cost theory perspective. Journal of Purchasing and Supply Management, 25(4), 100552. https://doi.org/10.1016/j.pursup.2019.100552.
  11. M. Kouhizadeh, Q. Zhu, J. Sarkis, Blockchain and the circular economy: potential tensions and critical reflections from practice, Prod. Plan. Control. 31 (2020) 950–966. https://doi.org/10.1080/09537287.2019.1695925.
  12. de Camargo Fiorini, P., Chiappetta Jabbour, C. J., Lopes de Sousa Jabbour, A. B., & Ramsden, G. (2022). The human side of humanitarian supply chains: a research agenda and systematization framework. Annals of Operations Research, 319(1), 911-936. https://doi.org/10.1007/s10479-021-03970-z
  13. Pundir, A. K., Jagannath, J. D., Chakraborty, M., & Ganpathy, L. (2019, January). Technology integration for improved performance: A case study in digitization of supply chain with integration of internet of things and blockchain technology. In 2019 IEEE 9th annual computing and communication workshop and conference (CCWC) (pp. 0170-0176). IEEE. 10.1109/CCWC.2019.8666484
  14. Kabra, G., Ramesh, A., Jain, V., & Akhtar, P. (2023). Barriers to information and digital technology adoption in humanitarian supply chain management: a fuzzy AHP approach. Journal of Enterprise Information Management, 36(2), 505-527. https://doi.org/10.1108/JEIM-10-2021-0456
  15. Shakibaei, H., Farhadi-Ramin, M. R., Alipour-Vaezi, M., Aghsami, A., & Rabbani, M. (2024). Designing a post-disaster humanitarian supply chain using machine learning and multi-criteria decision-making techniques. Kybernetes, 53(5), 1682-1709. https://doi.org/10.1108/K-10-2022-1404.
  16. Dohale, V., Ambilkar, P., Gunasekaran, A., & Bilolikar, V. (2024). Examining the barriers to operationalization of humanitarian supply chains: lessons learned from COVID-19 crisis. Annals of Operations Research, 335(3), 1137-1176. https://doi.org/10.1007/s10479-022-04752-x
  17. Queiroz, M. M., Telles, R., & Bonilla, S. H. (2020). Blockchain and supply chain management integration: a systematic review of the literature. Supply chain management: An international journal, 25(2), 241-254. https://doi.org/10.1108/SCM-03-2018-0143.
  18. Bhusiri, N., Banomyong, R., Julagasigorn, P., Varadejsatitwong, P., & Dhami, N. (2021). A purchasing portfolio model for humanitarian supply chain resilience: perspectives from a development aid context. Journal of Humanitarian Logistics and Supply Chain Management, 11(4), 639-660. https://doi.org/10.1108/JHLSCM-06-2021-0053.
  19. Wingreen, S., & Sharma, R. (2019). A blockchain traceability information system for trust improvement in agricultural supply chain.
  20. Hamdan, B., & Diabat, A. (2019). A two-stage multi-echelon stochastic blood supply chain problem. Computers & Operations Research, 101, 130-143. https://doi.org/10.1016/j.cor.2018.09.001.
  21. Eskandari-Khanghahi, M., Tavakkoli-Moghaddam, R., Taleizadeh, A. A., & Amin, S. H. (2018). Designing and optimizing a sustainable supply chain network for a blood platelet bank under uncertainty. Engineering Applications of Artificial Intelligence, 71, 236-250. https://doi.org/10.1016/j.engappai.2018.03.004.
  22. Fosso Wamba, S. (2020). Humanitarian supply chain: A bibliometric analysis and future research directions. Annals of operations research, 1-27. https://doi.org/10.1007/s10479-020-03594-9.
  23. Dubey, R., Gunasekaran, A., Bryde, D. J., Dwivedi, Y. K., & Papadopoulos, T. (2020). Blockchain technology for enhancing swift-trust, collaboration and resilience within a humanitarian supply chain setting. International journal of Production research, 58(11), 3381-3398. https://doi.org/10.1080/00207543.2020.1722860.
  24. Petrudi, S. H. H., Tavana, M., & Abdi, M. (2020). A comprehensive framework for analyzing challenges in humanitarian supply chain management: A case study of the Iranian Red Crescent Society. International Journal of disaster risk reduction, 42, 101340. https://doi.org/10.1016/j.ijdrr.2019.101340.
  25. Agarwal, S., Kant, R., & Shankar, R. (2022). Humanitarian supply chain management: Modeling the pre and post-disaster relief operations. International Journal of Disaster Resilience in the built environment, 13(4), 421-439. https://doi.org/10.1108/IJDRBE-10-2020-0107.
  26. Çağlıyangil, M., Erdem, S., & Özdağoğlu, G. (2020). A blockchain based framework for blood distribution. Digital Business Strategies in Blockchain Ecosystems: Transformational Design and Future of Global Business, 63-82.https://doi.org/10.1007/978-3-030-29739-8_4.
  27. Pournader, M., Shi, Y., Seuring, S., & Koh, S. L. (2020). Blockchain applications in supply chains, transport and logistics: a systematic review of the literature. International Journal of Production Research, 58(7), 2063-2081. https://doi.org/10.1080/00207543.2019.1650976.
  28. Cole, R., Stevenson, M., & Aitken, J. (2019). Blockchain technology: implications for operations and supply chain management. Supply chain management: An international journal, 24(4), 469-483. https://doi.org/10.1108/SCM-09-2018-0309.
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