A real-time UAV delivery system considering dock selection and spatial conflict DOI
Ziyi Hu, Yue Cao, Xinyu Li

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 127498 - 127498

Published: April 1, 2025

Language: Английский

Resource saving and carbon footprint reduction potential of urban symbiosis strategy in express packaging waste recycling network DOI
Yuhe Shi, Yun Lin, Songyi Wang

et al.

Waste Management, Journal Year: 2023, Volume and Issue: 161, P. 17 - 28

Published: Feb. 28, 2023

Language: Английский

Citations

20

A humanitarian vehicle routing problem synchronized with drones in time-varying weather conditions DOI
Yichen Lu, Jun Yang, Chao Yang

et al.

Computers & Industrial Engineering, Journal Year: 2023, Volume and Issue: 184, P. 109563 - 109563

Published: Aug. 30, 2023

Language: Английский

Citations

20

Direct and indirect emissions: a bi-objective model for hybrid vehicle routing problem DOI
Reza Eslamipoor

Journal of Business Economics, Journal Year: 2023, Volume and Issue: 94(3), P. 413 - 436

Published: July 27, 2023

Language: Английский

Citations

17

Facility location decisions for drone delivery: A literature review DOI
Okan Dükkancı, James F. Campbell, Bahar Y. Kara

et al.

European Journal of Operational Research, Journal Year: 2023, Volume and Issue: 316(2), P. 397 - 418

Published: Oct. 30, 2023

Language: Английский

Citations

14

A simultaneous facility location and vehicle routing problem with recyclable express packaging consideration for sustainable city logistics DOI
Yuhe Shi, Yun Lin, Songyi Wang

et al.

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 98, P. 104857 - 104857

Published: Aug. 9, 2023

Language: Английский

Citations

13

Research on Multi-Objective Optimal Scheduling for Power Battery Reverse Supply Chain DOI Creative Commons
Kangye Tan,

Yihui Tian,

Fang Xu

et al.

Mathematics, Journal Year: 2023, Volume and Issue: 11(4), P. 901 - 901

Published: Feb. 10, 2023

In the context of carbon neutralization, electric vehicle and energy storage market is growing rapidly. As a result, battery recycling an important work with consideration advent retirement resource constraints, environmental factors, regional price factors. Based on theoretical research intelligent algorithm mathematical models, integer programming model urban power reverse supply chain scheduling was established goal highest customer satisfaction least total cost logistics distribution, to study influence resources operation status built city center dismantling chain. The includes load, demand point range, service capacity constraints. This collected image data, conducted analysis, further designed improved Non-dominated Sorting Genetic Algorithm-II (NSGA-II) optimization suitable solve global problem by introducing improvement strategy convergence rate, particle search, traditional elite individual retention. results verified practicability model, ability problem, speed through comparing obtained from basic algorithm. A reasonable comprehensive solution for location path also obtained. Multi-objective carried out in scheduling, facility construction, construction. integrated software were compared. We found that scheme provided can significantly reduce enterprise. new insights enterprises effectively utilize optimize battery.

Language: Английский

Citations

12

Drone-Based Delivery Systems: A Survey on Route Planning DOI Creative Commons
Giulio Attenni, Viviana Arrigoni, Novella Bartolini

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 123476 - 123504

Published: Jan. 1, 2023

The ever-increasing demand for urban delivery services significantly exacerbates the traffic conditions on our already overly congested streets. problem is even worsened by dearth of appropriate parking facilities available efficient offloading operations. As a result, there has been surge interest in exploring eco-friendly alternatives to traditional truck-based logistics. Drone technology significant potential enable widespread home and reduce reliance trucks within areas. Both academy industry have shown developing swiftly deployable cost-effective systems that rely drones. This work provides comprehensive review current state Drone-based Delivery Systems. It explores latest advancements, methodologies, employed techniques with specific emphasis optimizing task scheduling designing routes drone deliveries. critically analyzes advantages drawbacks existing solutions, contributing thorough classification based crucial system features, such as fleet composition, degree device cooperation, underlying infrastructure.

Language: Английский

Citations

11

Learning for multiple purposes: A Q-learning enhanced hybrid metaheuristic for parallel drone scheduling traveling salesman problem DOI

Ping Chen,

Qianlong Wang

Computers & Industrial Engineering, Journal Year: 2023, Volume and Issue: 187, P. 109851 - 109851

Published: Dec. 19, 2023

Language: Английский

Citations

11

Optimal Multimodal Multi-Echelon Vaccine Distribution Network Design for Low and Medium-Income Countries with Manufacturing Infrastructure during Healthcare Emergencies DOI
Biswajit Kar, Mamata Jenamani

International Journal of Production Economics, Journal Year: 2024, Volume and Issue: 273, P. 109282 - 109282

Published: May 25, 2024

Language: Английский

Citations

4

Time-dependent hydrogen fuel cell vehicle routing problem with drones and variable drone speeds DOI

Xiaoxue Ren,

Houming Fan, Mengzhi Ma

et al.

Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: 193, P. 110330 - 110330

Published: July 1, 2024

Language: Английский

Citations

4