Public perception of advanced aviation technologies: A review and roadmap to acceptance

Progress in Aerospace Sciences, Journal Year: 2023, Volume and Issue: 138, P. 100899 - 100899

Published: March 20, 2023

Language: Английский

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Drone-Aided Delivery Methods, Challenge, and the Future: A Methodological Review

Drones, Journal Year: 2023, Volume and Issue: 7(3), P. 191 - 191

Published: March 10, 2023

The use of drones for package delivery, commonly known as drone delivery or unmanned aerial vehicle (UAV) has gained significant attention from academia and industries. Compared to traditional methods, it provides greater flexibility, improved accessibility, increased speed efficiency, enhanced safety, even some environmental benefits. With the increasing interest in this technology, is crucial researchers practitioners understand current state art delivery. This paper aims review literature on identify research trends, challenges, future directions. Specifically, relevant identified selected using a systematic approach. We then categorize according characteristics objectives problems thoroughly analyze them based mathematical formulations solution techniques. summarize key challenges limitations associated with technological, societal, aspects. Finally, potential directions are identified.

Language: Английский

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Multi-objective optimization of closed-loop supply chains to achieve sustainable development goals in uncertain environments

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 133, P. 108052 - 108052

Published: Feb. 15, 2024

Language: Английский

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Enhancing public service delivery efficiency: Exploring the impact of AI

Journal of Open Innovation Technology Market and Complexity, Journal Year: 2024, Volume and Issue: 10(3), P. 100329 - 100329

Published: June 26, 2024

This study aims to investigate the impact of Artificial Intelligence (AI) adoption on public service delivery efficiency in India. It addresses a significant gap existing literature by investigating AI India, context that has not been extensively explored. Through comparative analysis approach, assesses effectiveness applications enhancing delivery. The quantitative research design employed draws previous integration governance and focuses Chief Information Officers (CIOs) as primary respondents. findings reveal improvements citizen-centric services municipal processes due adoption. However, human-centric aspects is found be moderate. also underscores importance infrastructure readiness for successful implementation. Notably, only 25 % organizations were possessing advanced technological infrastructure. original its focus respondents approach assess offers valuable insights policymakers practitioners. Emphasizing need effective policies development, it highlights potential eliminate corruption risks enhance overall transparency mechanisms.

Language: Английский

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Time-Dependent Vehicle Routing Problem with Drones Under Vehicle Restricted Zones and No-Fly Zones

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(4), P. 2207 - 2207

Published: Feb. 19, 2025

This paper addresses the time-dependent vehicle routing problem with drones in vehicle-restricted zones and no-fly (TDVRPD-VRZ-NFZ). The optimization model considers impacts of zones, road networks on delivery paths. objective is to minimize total cost, including dispatch costs, energy consumption costs for vehicles drones, time-window penalty costs. verified correctness using Gurobi. In response problem’s characteristics, a hybrid genetic algorithm variable neighborhood search learning mechanism (HGAVNS-LM) proposed solve problem. starts by generating initial population combination logistic mapping reverse learning. It then improves operators optimize population. To improve algorithm’s performance, an individual elite archive used knowledge learning, self-learning established dynamically adjust key parameters. solution obtained HGAVNS-LM shows deviation −0.2% −0.3% compared Gurobi, but it saves 99.68% solving time. Compared algorithm, improvement rates are 5.1% 13.0%, respectively. Through analysis multiple sets test cases, concluded that time-varying networks, different detour rules all affect plans. research results provide more scientific theoretical basis logistics companies customize solutions.

Language: Английский

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An intelligent green scheduling system for sustainable cold chain logistics

Expert Systems with Applications, Journal Year: 2022, Volume and Issue: 209, P. 118378 - 118378

Published: Aug. 5, 2022

Language: Английский

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An optimization-based methodology equipped with lean tools to strengthen medical supply chain resilience during a pandemic: A case study from Turkey

Transportation Research Part E Logistics and Transportation Review, Journal Year: 2023, Volume and Issue: 173, P. 103089 - 103089

Published: March 16, 2023

Language: Английский

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Drones in last-mile delivery: a systematic literature review from a logistics management perspective

The International Journal of Logistics Management, Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 12, 2024

Purpose This study presents a systematic literature review (SLR) of the interdisciplinary on drones in last-mile delivery (LMD) to extrapolate pertinent insights from and into logistics management field. Design/methodology/approach Rooting their analytical categories LMD literature, authors performed deductive, theory refinement SLR 307 journal articles published during 2015–2022 integrate this emergent phenomenon Findings The derived potentials, challenges solutions drone deliveries relation 12 criteria dispersed across four stakeholder groups: senders, receivers, regulators societies. Relationships between these were also identified. Research limitations/implications contributes by offering current, nuanced multifaceted discussion drones' potential improve process together with involved. Practical implications provide managers holistic roadmap help them make informed decisions about adopting systems. Regulators society members gain prospects, requirements repercussions deliveries. Originality/value is one first SLRs applications perspective.

Language: Английский

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A new evolutionary optimization algorithm with hybrid guidance mechanism for truck-multi drone delivery system

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 245, P. 123115 - 123115

Published: Jan. 5, 2024

Language: Английский

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Rolling bearing fault diagnosis based on RQA with STD and WOA-SVM

Heliyon, Journal Year: 2024, Volume and Issue: 10(4), P. e26141 - e26141

Published: Feb. 1, 2024

A rolling bearing fault diagnosis method based on Recursive Quantitative Analysis (RQA) combined with time domain feature extraction and Whale Optimization Algorithm Support Vector Machine (WOA-SVM) is proposed. Firstly, the recurrence graph of vibration signal drawn, nonlinear parameters in Standard Deviation (STD) are extracted by recursive quantitative analysis to generate vectors; after that, order construct optimal support vector machine model, used optimize c g parameters. Finally, both standard deviation WOA-SVM model perform bearings. The datasets from Case Western Reserve University Jiangnan were for example analysis, identification accuracy reached 100% 95.00%, respectively. Compared other methods, proposed this paper has higher diagnostic wide practical applicability, risk accidents can be reduced through accurate diagnosis, which also important safety environmental policies. This research originated field mechanical solve problem bearings industrial production, it builds previous explores new methods techniques fill some gaps diagnosis.

Language: Английский

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