[HTML][HTML] Food logistics 4.0: Opportunities and challenges
Food Logistics 4.0 is a term derived from Industry 4.0 focusing on all the aspects of food
logistics management based on cyber-physical systems. It states that real-time information …
logistics management based on cyber-physical systems. It states that real-time information …
Operations management of smart logistics: A literature review and future research
B Feng, Q Ye - Frontiers of Engineering Management, 2021 - Springer
The global collaboration and integration of online and offline channels have brought new
challenges to the logistics industry. Thus, smart logistics has become a promising solution …
challenges to the logistics industry. Thus, smart logistics has become a promising solution …
Integrated supplier selection, scheduling, and routing problem for perishable product supply chain: A distributionally robust approach
Due to the global outbreak of COVID-19, the perishable product supply chains have been
impacted in different ways, and consequently, the risks of food insecurity have been …
impacted in different ways, and consequently, the risks of food insecurity have been …
Bi-objective optimization for a multi-period COVID-19 vaccination planning problem
This work investigates a new multi-period vaccination planning problem that simultaneously
optimizes the total travel distance of vaccination recipients (service level) and the …
optimizes the total travel distance of vaccination recipients (service level) and the …
A hybrid of deep reinforcement learning and local search for the vehicle routing problems
Different variants of the Vehicle Routing Problem (VRP) have been studied for decades.
State-of-the-art methods based on local search have been developed for VRPs, while still …
State-of-the-art methods based on local search have been developed for VRPs, while still …
An intelligent green scheduling system for sustainable cold chain logistics
This study proposes an intelligent green scheduling system for cold chain logistics (IGSS-
CCL) to support the integration and coordination of resources. Post-COVID-19, the …
CCL) to support the integration and coordination of resources. Post-COVID-19, the …
Joint deployment optimization and flight trajectory planning for UAV assisted IoT data collection: A bilevel optimization approach
This work investigates an unmanned aerial vehicle (UAV) assisted IoT system, where a UAV
flies to each foothold to collect data from IoT devices, and then return to its start point. For …
flies to each foothold to collect data from IoT devices, and then return to its start point. For …
Unmanned-aerial-vehicle routing problem with mobile charging stations for assisting search and rescue missions in postdisaster scenarios
RG Ribeiro, LP Cota, TAM Euzébio… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Recent technological breakthroughs have allowed unmanned aerial vehicles (UAVs) to be
utilized in a broad range of new operations. Among these various applications, herein, we …
utilized in a broad range of new operations. Among these various applications, herein, we …
[HTML][HTML] A hybrid optimization method to design a sustainable resilient supply chain in a perishable food industry
M Abbasian, Z Sazvar… - … science and pollution …, 2023 - Springer
To integrate the location, inventory, and routing (LIR) problems arising in designing a
resilient sustainable perishable food supply network (RSPFSN), a bi-objective optimization …
resilient sustainable perishable food supply network (RSPFSN), a bi-objective optimization …
A privacy-preserving storage scheme for logistics data with assistance of blockchain
H Li, D Han, M Tang - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
In recent years, traditional logistics systems are developing toward intelligence based on the
Internet of Things (IoT). Sensing devices throughout the logistics network provide strong …
Internet of Things (IoT). Sensing devices throughout the logistics network provide strong …