A machine learning approach for energy-efficient intelligent transportation scheduling problem in a real-world dynamic circumstances
This paper provides a novel intelligent scheduling strategy for a real-world transportation
dynamic scheduling case from an engine workshop of general motor company (GMEW) …
dynamic scheduling case from an engine workshop of general motor company (GMEW) …
A new AGV scheduling algorithm based on harmony search for material transfer in a real-world manufacturing system
G Li, B Zeng, W Liao, X Li… - Advances in Mechanical …, 2018 - journals.sagepub.com
With the development of advanced manufacturing technology, more and more enterprises
utilize automated guided vehicles to transfer materials for computer numerical control …
utilize automated guided vehicles to transfer materials for computer numerical control …
Evolutionary algorithm incorporating reinforcement learning for energy-conscious flexible job-shop scheduling problem with transportation and setup times
G Zhang, S Yan, X Song, D Zhang, S Guo - Engineering Applications of …, 2024 - Elsevier
Flexible job-shop scheduling is considerably important in the modern intelligent
manufacturing factory. In a real job shop, transportation and setup times account for a large …
manufacturing factory. In a real job shop, transportation and setup times account for a large …
An effective hybrid collaborative algorithm for energy-efficient distributed permutation flow-shop inverse scheduling
J Mou, P Duan, L Gao, X Liu, J Li - Future Generation Computer Systems, 2022 - Elsevier
Distributed scheduling problem, a novel model of intelligent manufacturing, urgently needs
new scheduling methods to meet the dynamic market demand. The inverse scheduling in a …
new scheduling methods to meet the dynamic market demand. The inverse scheduling in a …
Multi-objective green scheduling of integrated flexible job shop and automated guided vehicles
G Xu, Q Bao, H Zhang - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
The traditional flexible job shop scheduling problem (FJSP) ignores transportation issues or
merely introduces a time lag for transportation tasks while assuming an infinite number of …
merely introduces a time lag for transportation tasks while assuming an infinite number of …
A review of reinforcement learning based intelligent optimization for manufacturing scheduling
As the critical component of manufacturing systems, production scheduling aims to optimize
objectives in terms of profit, efficiency, and energy consumption by reasonably determining …
objectives in terms of profit, efficiency, and energy consumption by reasonably determining …
Research on flexible job-shop scheduling problem in green sustainable manufacturing based on learning effect
Z Peng, H Zhang, H Tang, Y Feng, W Yin - Journal of Intelligent …, 2022 - Springer
As one of the manufacturing industries with high energy consumption and high pollution,
sand casting is facing major challenges in green manufacturing. In order to balance …
sand casting is facing major challenges in green manufacturing. In order to balance …
Intelligent scheduling and reconfiguration via deep reinforcement learning in smart manufacturing
S Yang, Z Xu - International Journal of Production Research, 2022 - Taylor & Francis
To realise the intelligent decision-making of dynamic scheduling and reconfiguration, we
studied the intelligent scheduling and reconfiguration with dynamic job arrival for a …
studied the intelligent scheduling and reconfiguration with dynamic job arrival for a …
Efficient multiobjective optimization for an AGV energy-efficient scheduling problem with release time
In recent years, green manufacturing has attracted wide attention from researchers.
However, the energy efficiency problem in matrix manufacturing workshops is still a blank …
However, the energy efficiency problem in matrix manufacturing workshops is still a blank …
Optimization of waiting time for electric vehicles using a fuzzy inference system
Electric vehicles (EVs) need to be recharged at intermediate locations, such as shopping
malls, restaurants, and parking lots, to meet the daily commute requirements of their users …
malls, restaurants, and parking lots, to meet the daily commute requirements of their users …
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