Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things
In the Internet-of-Things (IoT) era, billions of sensors and devices collect and process data
from the environment, transmit them to cloud centers, and receive feedback via the Internet …
from the environment, transmit them to cloud centers, and receive feedback via the Internet …
Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0
JP Usuga Cadavid, S Lamouri, B Grabot… - Journal of Intelligent …, 2020 - Springer
Because of their cross-functional nature in the company, enhancing Production Planning
and Control (PPC) functions can lead to a global improvement of manufacturing systems …
and Control (PPC) functions can lead to a global improvement of manufacturing systems …
A reinforcement learning based RMOEA/D for bi-objective fuzzy flexible job shop scheduling
The flexible job shop scheduling problem (FJSP) is significant for realistic manufacturing.
However, the job processing time usually is uncertain and changeable during …
However, the job processing time usually is uncertain and changeable during …
Dynamic job shop scheduling based on deep reinforcement learning for multi-agent manufacturing systems
Y Zhang, H Zhu, D Tang, T Zhou, Y Gui - Robotics and Computer-Integrated …, 2022 - Elsevier
Personalized orders bring challenges to the production paradigm, and there is an urgent
need for the dynamic responsiveness and self-adjustment ability of the workshop …
need for the dynamic responsiveness and self-adjustment ability of the workshop …
Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learning
S Luo - Applied Soft Computing, 2020 - Elsevier
In modern manufacturing industry, dynamic scheduling methods are urgently needed with
the sharp increase of uncertainty and complexity in production process. To this end, this …
the sharp increase of uncertainty and complexity in production process. To this end, this …
A learning-based memetic algorithm for energy-efficient flexible job-shop scheduling with type-2 fuzzy processing time
Green flexible job-shop scheduling problem (FJSP) aims to improve profit and reduce
energy consumption for modern manufacturing. Meanwhile, FJSP with type-2 fuzzy …
energy consumption for modern manufacturing. Meanwhile, FJSP with type-2 fuzzy …
Real-time data-driven dynamic scheduling for flexible job shop with insufficient transportation resources using hybrid deep Q network
Y Li, W Gu, M Yuan, Y Tang - Robotics and Computer-Integrated …, 2022 - Elsevier
With the extensive application of automated guided vehicles in manufacturing system,
production scheduling considering limited transportation resources becomes a difficult …
production scheduling considering limited transportation resources becomes a difficult …
Dynamic multi-objective scheduling for flexible job shop by deep reinforcement learning
S Luo, L Zhang, Y Fan - Computers & Industrial Engineering, 2021 - Elsevier
In modern volatile and complex manufacturing environment, dynamic events such as new
job insertions and machine breakdowns may randomly occur at any time and different …
job insertions and machine breakdowns may randomly occur at any time and different …
Smart manufacturing scheduling with edge computing using multiclass deep Q network
Manufacturing is involved with complex job shop scheduling problems (JSP). In smart
factories, edge computing supports computing resources at the edge of production in a …
factories, edge computing supports computing resources at the edge of production in a …
Deep reinforcement learning based AGVs real-time scheduling with mixed rule for flexible shop floor in industry 4.0
H Hu, X Jia, Q He, S Fu, K Liu - Computers & Industrial Engineering, 2020 - Elsevier
Driven by the recent advances in industry 4.0 and industrial artificial intelligence, Automated
Guided Vehicles (AGVs) has been widely used in flexible shop floor for material handling …
Guided Vehicles (AGVs) has been widely used in flexible shop floor for material handling …