The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Optimization and Implementation of Drone-Assisted Blood Bag Delivery Models and Algorithms
Abstract
The integrated use of drones, particularly in delivering blood bags in the healthcare sector, presents an innovative solution to challenges like congestion and geographical barriers in land transport. This chapter examines improvements and expanded applications of drone-assisted blood transportation, focusing on models, algorithms, and infrastructures. These include Mixed Integer Linear Programming (MILP), Dynamic Programming (DP), and heuristic control policies, all of which have proven to enhance the effectiveness and resilience of healthcare systems. These models help minimize costs, time, and resources, ensuring timely delivery of essential medical supplies. The chapter also delves into technological aspects such as battery life, load capacity, and communication connectivity, which are vital for drones to operate efficiently. Additionally, it highlights examples from Rwanda and Ghana, showing the viability of scaling drone delivery systems in different settings, while exploring current trends and future directions for integrating drones into healthcare supply chains.
Related Content
|
Muhammad Farooq Umer.
© 2026.
28 pages.
|
|
Awesh Khati, Anindita Das, Debajit Karmakar.
© 2026.
26 pages.
|
|
Minhaj Ahmed Qidwai, Mohammad Kabir Gawhari.
© 2026.
20 pages.
|
|
Fozia Asif, Minhaj Ahmed Qidwai.
© 2026.
14 pages.
|
|
Saurabh Chandra, Bhupinder Singh.
© 2026.
20 pages.
|
|
Anshika Tyagi, Vishal Jain.
© 2026.
26 pages.
|
|
Saleema Gulzar, Samina Subzali Vertejee, Tazeen Saeed Ali, Rozina Karmaliani.
© 2026.
16 pages.
|
|
|