Asset tracking, condition visibility and sustainability using unmanned aerial systems in global logistics

Sellevold, Ethan; May, Travis; Gangi, Sam; Kulakowski, Jakub; McDonnell, Ian; Hill, Doug; Grabowski, Martha

doi:10.1016/j.trip.2020.100234

Cited by 7 publications

(6 citation statements)

References 42 publications

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“…Sellevold et al [ 25 ] introduced an unmanned aerial network-based asset tracking method for global logistics systems. The supply chain process is used here to provide necessary services for the users at a needed time.…”

Section: Related Workmentioning

confidence: 99%

Logistics Information Traceability Mechanism of Fresh E-Commerce Based on Image Recognition Technology

Zhang

Shao

2022

Applied Bionics and Biomechanics

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Logistics migration and movement require precise information updates for traceability and visibility of goods through E-commerce platforms. Computer vision and digital image processing techniques are used for visual identification and tracking through different warehouses and delivery points. In this article, an incessant visualized tracking scheme (IVTS) is designed for identifying and tracking E-commerce logistics throughout the migration points. This scheme endorsed computer vision technology for logistics recognition and labelled data detection. In this scheme, the labelled logistics data is verified for its similarity in different migrating locations and to the endpoint. Based on the dimensional features and regional-pixel similarity factor, it is verified using the deep neural network. This learning process identifies dimensional variations due to logistics displacement and position suppressing the similarity variations. It is performed based on the migration and information available to prevent tracking errors. For the varying locations and logistics displacement, the error pixel regions are identified and trained for possible similarity detection. The proposed scheme effectively improves visual accuracy, tracking maximization, and logistics detection by reducing dimensional errors.

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Section: Related Workmentioning

confidence: 99%

Logistics Information Traceability Mechanism of Fresh E-Commerce Based on Image Recognition Technology

Zhang

Shao

2022

Applied Bionics and Biomechanics

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“…This is an interesting approach to quantify damage and can help in making insurance claims and litigation. The work in [19] proposes to integrate unmanned aerial systems (UAS) to improve the visibility of the assets in a global supply chain. The authors further argue that it is difficult to introduce any new technology into the logistics due to the lack of standards and metrics to evaluate its integration in the legacy systems.…”

Section: Iot In Logistics Systems Security Models and Approachesmentioning

confidence: 99%

Threat Modeling for Communication Security of IoT-Enabled Digital Logistics

Junejo,

Breza,

McCann

2023

Sensors

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The modernization of logistics through the use of Wireless Sensor Network (WSN) Internet of Things (IoT) devices promises great efficiencies. Sensor devices can provide real-time or near real-time condition monitoring and location tracking of assets during the shipping process, helping to detect delays, prevent loss, and stop fraud. However, the integration of low-cost WSN/IoT systems into a pre-existing industry should first consider security within the context of the application environment. In the case of logistics, the sensors are mobile, unreachable during the deployment, and accessible in potentially uncontrolled environments. The risks to the sensors include physical damage, either malicious/intentional or unintentional due to accident or the environment, or physical attack on a sensor, or remote communication attack. The easiest attack against any sensor is against its communication. The use of IoT sensors for logistics involves the deployment conditions of mobility, inaccesibility, and uncontrolled environments. Any threat analysis needs to take these factors into consideration. This paper presents a threat model focused on an IoT-enabled asset tracking/monitoring system for smart logistics. A review of the current literature shows that no current IoT threat model highlights logistics-specific IoT security threats for the shipping of critical assets. A general tracking/monitoring system architecture is presented that describes the roles of the components. A logistics-specific threat model that considers the operational challenges of sensors used in logistics, both malicious and non-malicious threats, is then given. The threat model categorizes each threat and suggests a potential countermeasure.

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“…An unmanned aerial vehicle (UAV) is responsive for on-time deliveries and lowcarbon delivery services, which serve to better safeguard both the driver and the clients by reducing interaction (Sun et al, 2022;Chen et al, 2021). UAS is a system of combination of UAV with sensors and Bluetooth which provide real-time information on material and equipment condition and quality (Sellevold et al, 2020). It can decrease last-mile delivery costs and shipping times effectively.…”

Section: Flexibility Enablersmentioning

confidence: 99%

“…The effects of the integration of the aforementioned flexibility enablers encompass dynamic delivery planning, route planning, logistics resource planning and timely management of quality of goods. These are also supported by automotive flexibility enablers such as AGV (Custodio and Machado, 2019) that can reprogram in the shortest time to change their tasks or the path of operation based on the different situation while UAV (Sellevold et al, 2020) can provide information on material and equipment condition and quality on time with embedded sensors. They facilitate quick responses in an unmanned manner which can significantly reduce human errors and increase task accuracy.…”

Section: The Implication Modelmentioning

confidence: 99%

A Systematic Review on Flexibility Enablers in Logistics Survivability

ZAINUDDIN

Deraman

LOH

et al. 2022

qjssh

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The demand uncertainty particularly during the outbreak of COVID-19 and the increasing competition of market have imposed pressures on the logistics industry to embrace the technology innovation. The pandemic caused a huge impact on world economies and communities and many companies were struggling to survive in this changing environment, thus leaving a question to the resilience of industry. In this situation, flexibility plays the key role for the logistics industry to recover from the supply chain crisis and get prepared for future uncertainties. This paper aims to provide a comprehensive insight on the technology innovations which enable the function of flexibility in logistics through a systematic literature analysis of papers from 2017 to 2022. Bibliometric analysis and content analysis are the methods used to analyse the multiple sources from different databases. The main research gaps in this paper is the flexibility enablers available in the logistics field, their implications on the logistics operations in terms of survivability performance are analysed and the challenges for the adoption of these flexibility enablers to the logistics service providers (LSPs) are identified. The identified flexibility enablers are blockchain, automated guided vehicle (AGV), drones, big data, radio frequency identification (RFID), cyber-physical system (CPS), sensors, cloud computing, augmented reality (AR), unmanned aerial vehicle (UAV), internet of things (IoT), digital twin, artificial Intelligence (AI) and information and communications technology (ICT). An implication model is set up to show the relationship of these flexibility with the logistics. The barriers to the LSPs to adopt the flexibility enablers are categorised into economic barriers, managerial barriers and operational barriers. Overall, these could provide some suggestions to the LSPs when they are considering the technological transformation and assist technology developers in identifying commercial opportunities.

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Asset tracking, condition visibility and sustainability using unmanned aerial systems in global logistics

Cited by 7 publications

References 42 publications

Logistics Information Traceability Mechanism of Fresh E-Commerce Based on Image Recognition Technology

Logistics Information Traceability Mechanism of Fresh E-Commerce Based on Image Recognition Technology

Threat Modeling for Communication Security of IoT-Enabled Digital Logistics

A Systematic Review on Flexibility Enablers in Logistics Survivability

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