Uncovering interrelationships between barriers to unmanned aerial vehicles in humanitarian logistics

Aditya Kamat (), Saket Shanker (), Akhilesh Barve (), Kamalakanta Muduli (), Sachin Kumar Mangla () and Sunil Luthra ()
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Aditya Kamat: Maulana Azad National Institute of Technology
Saket Shanker: Maulana Azad National Institute of Technology
Akhilesh Barve: Maulana Azad National Institute of Technology
Kamalakanta Muduli: Papua New Guinea University of Technology
Sachin Kumar Mangla: University of Plymouth
Sunil Luthra: Ch. Ranbir Singh State Institute of Engineering & Technology

Operations Management Research, 2022, vol. 15, issue 3, No 34, 1134-1160

Abstract: Abstract Recent disasters, such as the ongoing COVID-19 pandemic, have sparked an interest in new applications for unmanned aerial vehicles (UAVs) in humanitarian aid. Nevertheless, there are still many divisive changes that need to be made in order to implement UAVs into a country’s humanitarian sector successfully. Hence, this paper aims to analyze the various barriers hindering the implementation of UAVs in humanitarian logistics for both developed and developing nations. To accomplish this, the study is presented in three steps. First, previous literature and opinions from experts are analyzed to illuminate particular factors that hinder UAV implementation. Next, we propose an interval-valued intuitionistic fuzzy set (IVIFS) based graph theory and matrix approach (GTMA) to calculate a drone implementation hindrance index (DIHI). The GTMA method used in this paper utilizes the PERMAN algorithm to calculate the permanent function. Finally, the DIHI values are plotted and analyzed to compare the readiness of drone implementation between developed and developing economies. A sensitivity analysis is then performed to provide validity to the results obtained. The study has revealed that both types of countries must first improve their inadequate government regulations regarding humanitarian UAVs. Developing countries must also focus on enhancing the technological awareness of their population. The results of this study can be used by policymakers and practitioners to smoothly implement UAVs in their country's humanitarian sector. The general index defined in this paper can also be calculated for specific countries using the steps mentioned in the manuscript.

Keywords: Unmanned aerial vehicles; Humanitarian logistics; IVIFS-GTMA; PERMAN algorithm (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s12063-021-00235-7

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