TY - GEN
T1 - Joint Optimization of Truck-Drone Logistics Network and Distribution Plan in Alpine Region
AU - Wang, Shitao
AU - Qiuhong, Zhao
AU - Cui, Xinhao
AU - Li, Bo
AU - Zhang, Siyue
AU - Xiao, Yiyong
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Logistics in alpine regions face challenges such as navigating difficult terrain and enduring extreme climates, which significantly hinder supply chain efficiency. This paper tackles these challenges by introducing a joint optimization approach for truck-drone logistics networks and distribution plans in alpine regions. We have developed a two-level programming model that integrates strategic network optimization with operational route planning, taking into account critical factors like fluctuating demand, road conditions, and weather variations. This model capitalizes on the complementary strengths of drones and trucks to enhance delivery efficiency and achieve tangible cost savings. We assess the cost-effectiveness of drone technology in alpine logistics, weighing initial investment against long-term transportation savings and improvements in delivery efficiency. Our research delivers actionable insights for the implementation and optimization of logistics in alpine environment. The innovative approach presented not only enhances operational efficiency and reliability but also ensures comprehensive support, illustrating a forward-looking strategy in the application of drone technology to logistics.
AB - Logistics in alpine regions face challenges such as navigating difficult terrain and enduring extreme climates, which significantly hinder supply chain efficiency. This paper tackles these challenges by introducing a joint optimization approach for truck-drone logistics networks and distribution plans in alpine regions. We have developed a two-level programming model that integrates strategic network optimization with operational route planning, taking into account critical factors like fluctuating demand, road conditions, and weather variations. This model capitalizes on the complementary strengths of drones and trucks to enhance delivery efficiency and achieve tangible cost savings. We assess the cost-effectiveness of drone technology in alpine logistics, weighing initial investment against long-term transportation savings and improvements in delivery efficiency. Our research delivers actionable insights for the implementation and optimization of logistics in alpine environment. The innovative approach presented not only enhances operational efficiency and reliability but also ensures comprehensive support, illustrating a forward-looking strategy in the application of drone technology to logistics.
KW - Alpine region
KW - Bi-Level Programming
KW - Logistic networks
KW - Truck-Drone Routing
UR - https://www.scopus.com/pages/publications/105030325368
U2 - 10.1109/ICRMS63553.2024.00146
DO - 10.1109/ICRMS63553.2024.00146
M3 - 会议稿件
AN - SCOPUS:105030325368
T3 - Proceedings - 2024 15th International Conference on Reliability, Maintenance and Safety, ICRMS 2024
SP - 912
EP - 918
BT - Proceedings - 2024 15th International Conference on Reliability, Maintenance and Safety, ICRMS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th International Conference on Reliability, Maintenance and Safety, ICRMS 2024
Y2 - 31 July 2024 through 2 August 2024
ER -