Generative Optimisation of Resilient Drone Logistic Networks

Filippi, Gianluca; Vasile, Massimiliano; Patelli, Edoardo; Fossati, Marco

doi:10.1109/cec55065.2022.9870306

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…Research in this area focused on optimising the location, number, and distribution of UAV bases and developing routing algorithms to enhance resource distribution efficiency and energy utilisation. The studies proposed models and algorithms to solve logistical problems, ensuring optimal paths and facilities for the distribution of medical supplies, thereby improving the overall efficiency of healthcare delivery systems [51][52][53][54].…”

Section: Drone Delivery Of Non-time Critical Medical Itemsmentioning

confidence: 99%

Emerging Research Topics in Drone Healthcare Delivery

Campbell,

Bosiocic,

Hvala

et al. 2024

Drones

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The application of drones to assist with healthcare delivery has grown rapidly over the last decade. This industry is supported by a growing research field, and we have undertaken a systematic review of the published literature. Web-based searches returned 290 relevant manuscripts published between 2010 and 2024. We applied Topic Modelling to this corpus of literature, which examines word association and connectedness within the research papers. The modelling identified two emerging research themes with little connection between them: those who used drones to deliver time-critical medical items and those who used drones to deliver non-time-critical medical items. The former was in response to medical emergencies, while the latter was for enhancing resilience in the healthcare supply chain. The topics within these research themes exhibited notable differences. The delivery of time-critical medical items theme comprised the topics of ‘Emergency Response’, ‘Defibrillator and Organ Delivery’, and ‘Search and Rescue’, whilst non-time-critical delivery researched the topics of ‘Supply Chain Optimisation’ and ‘Cost-Effectiveness’, ‘Overcoming Remoteness’, and ‘Pandemic Response’. Research on ‘Engineering and Design Considerations’ and ‘Ethical and Social Considerations’ cut across both research themes. We undertook further analysis to assess research topic alignment and identify knowledge gaps. We found that efforts are needed to establish a more standardised terminology for better alignment across the two emerging research themes. Future studies should focus on evaluating the impact of drone delivery on patient health using systematic methods. Additionally, exploring the economic viability of drone-based health services and addressing regulatory barriers are crucial for efficient and effective drone deployment in healthcare delivery systems.

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Section: Drone Delivery Of Non-time Critical Medical Itemsmentioning

confidence: 99%

Emerging Research Topics in Drone Healthcare Delivery

Campbell,

Bosiocic,

Hvala

et al. 2024

Drones

View full text Add to dashboard Cite

show abstract

“…Furthermore, all prior approaches assume independence of uncontrollable outcomes, which does not always hold. As an example consider a network of drones to be used in the delivery of medical supplies to rural communities (Filippi et al 2022). The drone must fly between locations, picking up and dropping off supplies before they expire.…”

Section: Introductionmentioning

confidence: 99%

A Column Generation Approach to Correlated Simple Temporal Networks

Murray

Arulselvan

Cashmore

et al. 2023

ICAPS

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Probabilistic Simple Temporal Networks (PSTN) represent scheduling problems under temporal uncertainty. Strong controllability (SC) of PSTNs involves finding a schedule to a PSTN that maximises the probability that all constraints are satisfied (robustness). Previous approaches to this problem assume independence of probabilistic durations, and approximate the risk by bounding it above using Boole’s inequality. This gives no guarantee of finding the schedule optimising robustness, and fails to consider correlations between probabilistic durations that frequently arise in practical applications. In this paper, we formally define the Correlated Simple Temporal Network (Corr-STN) which generalises the PSTN by removing the restriction of independence. We show that the problem of Corr-STN SC is convex for a large class of multivariate (log-concave) distributions. We then introduce an algorithm capable of finding optimal SC schedules to Corr-STNs, using the column generation method. Finally, we validate our approach on a number of Corr-STNs and find that our method offers more robust solutions when compared with prior approaches.

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Towards self‐organizing logistics in transportation: a literature review and typology

Gerrits,

van Heeswijk,

Mes

2023

Int Trans Operational Res

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Deploying self‐organizing systems is a way to cope with the logistics sector's complex, dynamic, and stochastic nature. In such systems, automated decision‐making and decentralized or distributed control structures are combined. Such control structures reduce the complexity of decision‐making, require less computational effort, and are therefore faster, reducing the risk that changes during decision‐making render the solution invalid. These benefits of self‐organizing systems are of interest to many practitioners involved in solving real‐world problems in the logistics sector. This study, therefore, identifies and classifies research related to self‐organizing logistics (SOL) with a focus on transportation. SOL is an interdisciplinary study across many domains and relates to other concepts, such as agent‐based systems, autonomous control, and decentral systems. Yet, few papers directly identify this as self‐organization. Hence, we add to the existing literature by conducting a systematic literature review that provides insight into the field of SOL. The main contribution of this paper is two‐fold: (i) based on the findings from the literature review, we identify and synthesize 15 characteristics of SOL in a typology, and (ii) we present a two‐dimensional SOL framework alongside the axes of autonomy and cooperativity to position and contrast the broad range of literature, thereby creating order in the field of SOL and revealing promising research directions.

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Generative Optimisation of Resilient Drone Logistic Networks

Cited by 3 publications

References 7 publications

Emerging Research Topics in Drone Healthcare Delivery

Emerging Research Topics in Drone Healthcare Delivery

A Column Generation Approach to Correlated Simple Temporal Networks

Towards self‐organizing logistics in transportation: a literature review and typology

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