Prioritizing sustainable solutions to mitigate risks in drone-based last-mile delivery
The drone integration into last-mile delivery networks presents substantial opportunities for enhancing sustainability and efficiency. However, drone integration into the existing logistics framework presents numerous risks, particularly operational safety and reliability. This study addresses these...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-06-01
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| Series: | Sustainable Futures |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666188825001066 |
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| author | Chandresh Kumbhani Ravi Kant Ravi Shankar |
| author_facet | Chandresh Kumbhani Ravi Kant Ravi Shankar |
| author_sort | Chandresh Kumbhani |
| collection | DOAJ |
| description | The drone integration into last-mile delivery networks presents substantial opportunities for enhancing sustainability and efficiency. However, drone integration into the existing logistics framework presents numerous risks, particularly operational safety and reliability. This study addresses these gaps by proposing a novel hybrid framework for systematically evaluating and mitigating risks in drone-based sustainable last-mile delivery. This framework incorporates spherical fuzzy decision-making trial and evaluation laboratory (SF-DEMATEL), spherical fuzzy C-means clustering (SFCMC), and spherical fuzzy evaluation based on distance from average solution (SF-EDAS) using the Indian logistics sector as a case study. The results reveal that technical-related risks, customer adoption risks, and government rules and regulatory risks are critical risk clusters for drones in the last-mile delivery applications. Significant DDSs are strict regulations from the government being the most crucial, followed by provide public education and awareness and workforce retraining. Sensitivity and comparative analysis are conducted to validate the robustness of the framework. This approach holds promise for decision-makers, researchers, practitioners, and stakeholders in the drone industry seeking to make informed choices about risk mitigation strategies. |
| format | Article |
| id | doaj-art-320eadd2b01041388ca6b2f5ef35466e |
| institution | DOAJ |
| issn | 2666-1888 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Sustainable Futures |
| spelling | doaj-art-320eadd2b01041388ca6b2f5ef35466e2025-08-20T02:39:58ZengElsevierSustainable Futures2666-18882025-06-01910053610.1016/j.sftr.2025.100536Prioritizing sustainable solutions to mitigate risks in drone-based last-mile deliveryChandresh Kumbhani0Ravi Kant1Ravi Shankar2Department of Mechanical Engineering, Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat-395007, Gujarat, India; Corresponding author.Department of Mechanical Engineering, Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat-395007, Gujarat, IndiaDepartment of Management Studies, Indian Institute of Technology Delhi, New Delhi-110016, IndiaThe drone integration into last-mile delivery networks presents substantial opportunities for enhancing sustainability and efficiency. However, drone integration into the existing logistics framework presents numerous risks, particularly operational safety and reliability. This study addresses these gaps by proposing a novel hybrid framework for systematically evaluating and mitigating risks in drone-based sustainable last-mile delivery. This framework incorporates spherical fuzzy decision-making trial and evaluation laboratory (SF-DEMATEL), spherical fuzzy C-means clustering (SFCMC), and spherical fuzzy evaluation based on distance from average solution (SF-EDAS) using the Indian logistics sector as a case study. The results reveal that technical-related risks, customer adoption risks, and government rules and regulatory risks are critical risk clusters for drones in the last-mile delivery applications. Significant DDSs are strict regulations from the government being the most crucial, followed by provide public education and awareness and workforce retraining. Sensitivity and comparative analysis are conducted to validate the robustness of the framework. This approach holds promise for decision-makers, researchers, practitioners, and stakeholders in the drone industry seeking to make informed choices about risk mitigation strategies.http://www.sciencedirect.com/science/article/pii/S2666188825001066Drone deliveryRisksLast-mile deliveryDEMATELEDASLogistics |
| spellingShingle | Chandresh Kumbhani Ravi Kant Ravi Shankar Prioritizing sustainable solutions to mitigate risks in drone-based last-mile delivery Sustainable Futures Drone delivery Risks Last-mile delivery DEMATEL EDAS Logistics |
| title | Prioritizing sustainable solutions to mitigate risks in drone-based last-mile delivery |
| title_full | Prioritizing sustainable solutions to mitigate risks in drone-based last-mile delivery |
| title_fullStr | Prioritizing sustainable solutions to mitigate risks in drone-based last-mile delivery |
| title_full_unstemmed | Prioritizing sustainable solutions to mitigate risks in drone-based last-mile delivery |
| title_short | Prioritizing sustainable solutions to mitigate risks in drone-based last-mile delivery |
| title_sort | prioritizing sustainable solutions to mitigate risks in drone based last mile delivery |
| topic | Drone delivery Risks Last-mile delivery DEMATEL EDAS Logistics |
| url | http://www.sciencedirect.com/science/article/pii/S2666188825001066 |
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