scholarly journals Modelling Robust Delivery Scenarios for a Fleet of Unmanned Aerial Vehicles in Disaster Relief Missions

2021 ◽  
Vol 103 (4) ◽  
Author(s):  
G. Radzki ◽  
P. Golinska-Dawson ◽  
G. Bocewicz ◽  
Z. Banaszak
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Disaster Relief ◽  
Weather Conditions ◽  
Fleet Size ◽  
Weather Forecasts ◽  
Disaster Relief Operations ◽  
Aerial Vehicles ◽  
Study Results ◽  
Battery Capacity ◽  
Relief Operations

AbstractBesides commercial and military applications, unmanned aerial vehicles (UAVs) are now used more commonly in disaster relief operations. This study proposes a novel model for proactive and reactive planning (different scenarios) that allow for a higher degree of realism, thus a higher likelihood for a mission of being executed according to the plan even when weather forecasts are changing. The novelty of this study results from the addition of a function of resistance of UAVs mission to changes in weather conditions. We link the influence of weather conditions on the UAV’s energy consumption. The goal is to ensure the completion of planned deliveries by a fleet of UAVs under changing weather conditions before their batteries discharge and to identify the emergency route for returned if the mission cannot be completed. An approach based on constraint programming is proposed, as it has proven to be effective in various contexts, especially related to the nonlinearity of the system’s characteristics. The proposed approach has been tested on several instances, which have allowed for analyzing how the plan of mission is robust to the changing weather conditions with different parameters, such as the fleet size, battery capacity, and distribution network layout.

scholarly journals UAV Mission Planning Resistant to Weather Uncertainty

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 515 ◽  
Author(s):  
Amila Thibbotuwawa ◽  
Grzegorz Bocewicz ◽  
Grzegorz Radzki ◽  
Peter Nielsen ◽  
Zbigniew Banaszak
Keyword(s):  
Wind Speed ◽  
Unmanned Aerial Vehicles ◽  
Collision Avoidance ◽  
Weather Conditions ◽  
Mission Planning ◽  
Alternative Strategies ◽  
Fleet Size ◽  
Aerial Vehicles ◽  
Time Period ◽  
Weather Uncertainty

Fleet mission planning for Unmanned Aerial Vehicles (UAVs) is the process of creating flight plans for a specific set of objectives and typically over a time period. Due to the increasing focus on the usage of large UAVs, a key challenge is to conduct mission planning addressing changing weather conditions, collision avoidance, and energy constraints specific to these types of UAVs. This paper presents a declarative approach for solving the complex mission planning resistant to weather uncertainty. The approach has been tested on several examples, analyzing how customer satisfaction is influenced by different values of the mission parameters, such as the fleet size, travel distance, wind direction, and wind speed. Computational experiments show the results that allow assessing alternative strategies of UAV mission planning.

scholarly journals Evolutionary optimization for disaster relief operations: A survey

2015 ◽  
Vol 27 ◽  
pp. 553-566 ◽  
Author(s):  
Yu-Jun Zheng ◽  
Sheng-Yong Chen ◽  
Hai-Feng Ling
Keyword(s):  
Disaster Relief ◽  
Evolutionary Optimization ◽  
Disaster Relief Operations ◽  
Relief Operations

Logistics service providers’ engagement in disaster relief initiatives

2017 ◽  
Vol 9 (3/4) ◽  
pp. 269-291 ◽  
Author(s):  
Alessandra Cozzolino ◽  
Ewa Wankowicz ◽  
Enrico Massaroni
Keyword(s):  
Service Providers ◽  
Disaster Relief ◽  
Humanitarian Logistics ◽  
Content Type ◽  
Logistics Service ◽  
Disaster Relief Operations ◽  
Logistics Service Providers ◽  
Logistics Services ◽  
Relief Operations ◽  
Humanitarian Supply Chain

Purpose The purpose of this paper is to explore the contribution of logistics service providers’ (LSPs) initiatives to disaster relief and how LSPs are engaged with humanitarian sector. In recent years, the importance of logistics services in disaster relief operations and the capacity of LSPs to improve humanitarian supply chain management have become an increasingly interesting topic for both professionals and academics. Design/methodology/approach This research follows a qualitative approach based on multiple case studies. Findings The current research, after considering the differences and similarities among collaboration, cooperation and coordination and underlining how crucial these mechanisms are in the humanitarian context, explains the contribution of LSPs to relief operations alongside humanitarians. Research limitations/implications There has been increased interest in humanitarian logistics on the part of international academic and professional communities. This study constitutes a first exploratory step in the research to build a platform for benchmarking analysis of logistics services that aims to ensure the effective implementation of social responsibility principles. Practical implications The managerial implications arising from the research offer a range of current responsible actions from which strategic and operative directions to contribute can be derived. Originality/value Humanitarian logistics represents a crucial field in logistics management. This paper addresses the innovative socially responsible initiatives undertaken by the main international LSPs in the area of humanitarian logistics.

The role of organizational culture and voluntariness in the adoption of artificial intelligence for disaster relief operations

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abhishek Behl ◽  
Meena Chavan ◽  
Kokil Jain ◽  
Isha Sharma ◽  
Vijay Edward Pereira ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Organizational Culture ◽  
Behavioral Intentions ◽  
Disaster Relief ◽  
National Level ◽  
Equation Modeling ◽  
Government Agencies ◽  
Content Type ◽  
Disaster Relief Operations ◽  
Relief Operations

PurposeThe study explores the readiness of government agencies to adopt artificial intelligence (AI) to improve the efficiency of disaster relief operations (DRO). For understanding the behavior of state-level and national-level government agencies involved in DRO, this study grounds its theoretical arguments on the civic voluntarism model (CVM) and the unified theory of acceptance and use of technology (UTAUT).Design/methodology/approachWe collected the primary data for this study from government agencies involved in DRO in India. To test the proposed theoretical model, we administered an online survey questionnaire to 184 government agency employees. To test the hypotheses, we employed partial least squares structural equation modeling (PLS-SEM).FindingsOur findings confirm that resources (time, money and skills) significantly influence the behavioral intentions related to the adoption of AI tools for DRO. Additionally, we identified that the behavioral intentions positively translate into the actual adoption of AI tools.Research limitations/implicationsOur study provides a unique viewpoint suited to understand the context of the adoption of AI in a governmental context. Companies often strive to invest in state-of-the-art technologies, but it is important to understand how government bodies involved in DRO strategize to adopt AI to improve efficiency.Originality/valueOur study offers a fresh perspective in understanding how the organizational culture and perspectives of government officials influence their inclinations to adopt AI for DRO. Additionally, it offers a multidimensional perspective by integrating the theoretical frameworks of CVM and UTAUT for a greater understanding of the adoption and deployment of AI tools with organizational culture and voluntariness as critical moderators.

Protecting the health of responders: Team Health

2020 ◽  
pp. bmjmilitary-2020-001498
Author(s):  
David Ross
Keyword(s):  
Disaster Relief ◽  
Special Issue ◽  
Personal View ◽  
Military Health ◽  
Disaster Relief Operations ◽  
Relief Operations ◽  
Three Phases

The rise in humanitarian disasters has led to more volunteers responding to deploy with humanitarian organisations. Those organisations that use these volunteers have a responsibility for the health of these teams of workers. This personal view outlines the three phases of ‘Team Health’—prepare, sustain and recover. This is a paper commissioned as a part of the Humanitarian and Disaster Relief Operations special issue of BMJ Military Health.

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