An optimization approach for blood supply chain management integrating drone delivery method
Abstract This paper investigates the application of drone delivery for blood supply chain management (BSCM). This paper aims to minimize the delivery lead time and make the fastest delivery of lifesaving blood products within a specified delivery range. We proposed an optimization model that uses mi...
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| Format: | Article |
| Language: | English |
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Springer
2025-08-01
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| Series: | Discover Applied Sciences |
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| Online Access: | https://doi.org/10.1007/s42452-025-07183-y |
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| author | Mayuri K. N Gowsalya M. |
| author_facet | Mayuri K. N Gowsalya M. |
| author_sort | Mayuri K. N |
| collection | DOAJ |
| description | Abstract This paper investigates the application of drone delivery for blood supply chain management (BSCM). This paper aims to minimize the delivery lead time and make the fastest delivery of lifesaving blood products within a specified delivery range. We proposed an optimization model that uses mixed integer non-linear programming (MINLP) with Dijkstra’s algorithm. This model considers drone capabilities such as payload capacity, travel speed, and range. This study investigates the possibilities of drone delivery in blood supply chain management, with a priority on reducing delivery lead time and enabling rapid deliveries. While incorporating real-world scenarios with multiple locations like hospitals, clinics, and demand locations. Randomly generated test instances are used. To evaluate the model’s effectiveness, Numerical illustration has been analyzed using Python programming as the development platform for implementing the solution. Graphical abstract |
| format | Article |
| id | doaj-art-7ac259feca8f4aec93e138f9376ea8f5 |
| institution | DOAJ |
| issn | 3004-9261 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Applied Sciences |
| spelling | doaj-art-7ac259feca8f4aec93e138f9376ea8f52025-08-20T03:05:55ZengSpringerDiscover Applied Sciences3004-92612025-08-017812110.1007/s42452-025-07183-yAn optimization approach for blood supply chain management integrating drone delivery methodMayuri K. N0Gowsalya M.1Department of Mathematics, School of Advanced Sciences, VIT UniversityDepartment of Mathematics, School of Advanced Sciences, VIT UniversityAbstract This paper investigates the application of drone delivery for blood supply chain management (BSCM). This paper aims to minimize the delivery lead time and make the fastest delivery of lifesaving blood products within a specified delivery range. We proposed an optimization model that uses mixed integer non-linear programming (MINLP) with Dijkstra’s algorithm. This model considers drone capabilities such as payload capacity, travel speed, and range. This study investigates the possibilities of drone delivery in blood supply chain management, with a priority on reducing delivery lead time and enabling rapid deliveries. While incorporating real-world scenarios with multiple locations like hospitals, clinics, and demand locations. Randomly generated test instances are used. To evaluate the model’s effectiveness, Numerical illustration has been analyzed using Python programming as the development platform for implementing the solution. Graphical abstracthttps://doi.org/10.1007/s42452-025-07183-yBlood supply chainDrone deliveryOptimizationMINLPShortest routeTime minimization |
| spellingShingle | Mayuri K. N Gowsalya M. An optimization approach for blood supply chain management integrating drone delivery method Discover Applied Sciences Blood supply chain Drone delivery Optimization MINLP Shortest route Time minimization |
| title | An optimization approach for blood supply chain management integrating drone delivery method |
| title_full | An optimization approach for blood supply chain management integrating drone delivery method |
| title_fullStr | An optimization approach for blood supply chain management integrating drone delivery method |
| title_full_unstemmed | An optimization approach for blood supply chain management integrating drone delivery method |
| title_short | An optimization approach for blood supply chain management integrating drone delivery method |
| title_sort | optimization approach for blood supply chain management integrating drone delivery method |
| topic | Blood supply chain Drone delivery Optimization MINLP Shortest route Time minimization |
| url | https://doi.org/10.1007/s42452-025-07183-y |
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