Operating policies in multi-warehouse drone delivery systems

Shen, Yaohan; Xu, Xianhao; Zou, Bipan; Wang, Hongwei

doi:10.1080/00207543.2020.1756509

Cited by 32 publications

(8 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Dorling et al (2017) conclude that 'hot-swapping' of batteries is more cost and time effective and requires a smaller fleet size than intermittent recharging. Shen et al (2021) confirm the effectiveness of battery swapping although they highlight the additional capital investment required. This battery swap technique has been assumed in many later studies, such as Chauhan et al (2019), Arenzana at el.…”

Section: Drone Delivery Servicementioning

confidence: 63%

Planning delivery-by-drone micro-fulfilment centres

Lamb

Wirasinghe

Waters

2022

Transportmetrica A: Transport Science

View full text Add to dashboard Cite

Delivery drones are a disruptive technology that is spurring logistics system change, such as the adoption of urban micro-fulfilment centres (MFCs). In this paper, we develop and implement a two-stage continuum approximation (CA) model of this disruptive system in a geographic information system (GIS). The model includes common CA techniques at a local level to minimise cost, and then these local solutions are used in a second stage regional location-allocation multiple knapsack problem. We then compare the drone MFC system to a traditional delivery-by-truck system and investigate potential cost or emissions savings by adjusting time-window demand, logistical sprawl, electric truck alternatives, and MFC emissions. Furthermore, we conduct a sensitivity analysis to show that uncertainty in demand and effective storage density both significantly influence the number of MFCs selected and benchmark our model against commercial solvers. This methodology may also be further developed and applied to other new delivery vehicle modes.

show abstract

Section: Drone Delivery Servicementioning

confidence: 63%

Planning delivery-by-drone micro-fulfilment centres

Lamb

Wirasinghe

Waters

2022

Transportmetrica A: Transport Science

View full text Add to dashboard Cite

show abstract

“…Most studies emphasized the battery's size and weight, which are significant for the UAV's capability, allowing long-flight range, higher speed, and more loading capacity. Whereas some studies highlighted the significance of power systems and concerns in other dimensions, such as ease of battery replacement [25], charging time and charging facilities [53], as well as plug-in charging capability [49]. There are other aspects that are rarely mentioned or included in CF01 in a few previous works, for instance, the design of the UAV [50], the remote controller [32], the material of the UAV's body or structure [61], and an improved GPS system [35].…”

Section: • Hardwarementioning

confidence: 99%

Implementation and Critical Factors of Unmanned Aerial Vehicle (UAV) in Warehouse Management: A Systematic Literature Review

Malang

Charoenkwan

Wudhikarn

2023

Drones

View full text Add to dashboard Cite

Unmanned aerial vehicles (UAVs) have proven to be a key solution for nearly automated or smart warehouse operations, enabling receiving, picking, storage, and shipping processes to be timely and more efficient. However, there is a relative scarcity of review studies specifically on UAV-based warehouse management. Research knowledge and insights on UAV applications in this field are also limited and could not sufficiently or practically support decision-making on commercial utilization. To leverage the potential applications and current situation of UAVs, this study provides a systematic literature review (SLR) on UAV adoption in warehouse management. SLR approach was critically conducted to identify, select, assess, and summarize findings, mainly on the two descriptive research questions; what are the past applications of UAV, and what are critical factors affecting UAV adoption in warehouse management? Five key critical factors and 13 sub-factors could be observed. The results revealed that hardware (e.g., payloads, battery power, and sensors) and software factors (e.g., scheduling, path planning, localization, and navigation algorithms) are the most influential factors impacting drone adoption in warehouse management. The managerial implications of our research findings that guide decision-makers or practitioners to effectively employ UAV-based warehouse management in good practice are also discussed.

show abstract

“…Many companies offer healthcare drone solutions that can carry 0.5 kg for 45 minutes or 1kg for 25 minutes. These restrictions on flight time and payload weight make it evident that UAVs can only be used for specific delivery cases in areas where other solutions may not be available (Shen et al 2021 ). More information detailing the influence of financial factors in developed and developing countries is displayed in Table 2 (b).…”

Section: Factors Affecting Uav Implementation In Humanitarian Logisticsmentioning

confidence: 99%

Uncovering interrelationships between barriers to unmanned aerial vehicles in humanitarian logistics

et al. 2022

View full text Add to dashboard Cite

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.

show abstract

Operating policies in multi-warehouse drone delivery systems

Cited by 32 publications

References 32 publications

Planning delivery-by-drone micro-fulfilment centres

Planning delivery-by-drone micro-fulfilment centres

Implementation and Critical Factors of Unmanned Aerial Vehicle (UAV) in Warehouse Management: A Systematic Literature Review

Uncovering interrelationships between barriers to unmanned aerial vehicles in humanitarian logistics

Contact Info

Product

Resources

About