Predicting the remaining useful life of supercapacitors under different operating conditions
G Qi, N Ma, K Wang - Energies, 2024 - mdpi.com
With the rapid development of the new energy industry, supercapacitors have become key
devices in the field of energy storage. To forecast the remaining useful life (RUL) of …
devices in the field of energy storage. To forecast the remaining useful life (RUL) of …
Multiobjective scheduling of energy-efficient stochastic hybrid open shop with brain storm optimization and simulation evaluation
Recently, energy conservation in manufacturing industry, particular in energy-intensive
industries, receives much attention in order to meet the environmental protection and …
industries, receives much attention in order to meet the environmental protection and …
A learning-driven multi-objective cooperative artificial bee colony algorithm for distributed flexible job shop scheduling problems with preventive maintenance and …
In recent years, distributed production scheduling problems receive much attention from
both scholars and practicers. Nevertheless, existing research on such problems commonly …
both scholars and practicers. Nevertheless, existing research on such problems commonly …
A cooperative evolutionary algorithm with simulated annealing for integrated scheduling of distributed flexible job shops and distribution
Production and distribution are two essential parts in supply chains. An integration of
production and distribution has received amount of attention from both academia and …
production and distribution has received amount of attention from both academia and …
Scheduling stochastic distributed flexible job shops using an multi-objective evolutionary algorithm with simulation evaluation
The trend of reverse globalisation prompts manufacturing enterprises to adopt distributed
structures with multiple factories for improving production efficiency, meeting customer …
structures with multiple factories for improving production efficiency, meeting customer …
A method of dense point cloud SLAM based on improved YOLOV8 and fused with ORB-SLAM3 to cope with dynamic environments
With the development of society and the advancement of technology, intelligent robots have
been widely used in various fields. At the same time, Simultaneous Localization and …
been widely used in various fields. At the same time, Simultaneous Localization and …
Modelling a logistics and financial supply chain network during the COVID-19 era
Background: Supply chain networks (SCNs) have been interrupted by the COVID-19
pandemic, leaving them open to financial losses. SCs have been impacted by the pandemic …
pandemic, leaving them open to financial losses. SCs have been impacted by the pandemic …
A Q-learning memetic algorithm for energy-efficient heterogeneous distributed assembly permutation flowshop scheduling considering priorities
Most studies on distributed assembly permutation flowshop scheduling do not consider
product priorities and factory heterogeneity. This causes delays in critical products and …
product priorities and factory heterogeneity. This causes delays in critical products and …
Multi-product disassembly line balancing optimization method for high disassembly profit and low energy consumption with noise pollution constraints
Remanufacturing attains much attention from both industrial and academic sectors due to its
beneficial roles in energy conservation and environment protection, where disassembly is a …
beneficial roles in energy conservation and environment protection, where disassembly is a …
Review on ensemble meta-heuristics and reinforcement learning for manufacturing scheduling problems
With the development of Artificial Intelligence, Internet of Things and Big Data, intelligent
manufacturing has become a new and popular trend in manufacturing industries …
manufacturing has become a new and popular trend in manufacturing industries …