Fog computing for energy-aware load balancing and scheduling in smart factory

J Wan, B Chen, S Wang, M **a, D Li… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Due to the development of modern information technology, the emergence of the fog
computing enhances equipment computational power and provides new solutions for …

Solving the job-shop scheduling problem in the industry 4.0 era

ME Leusin, EM Frazzon, M Uriona Maldonado, M Kück… - Technologies, 2018 - mdpi.com
Technological developments along with the emergence of Industry 4.0 allow for new
approaches to solve industrial problems, such as the Job-shop Scheduling Problem (JSP) …

Task allocation in manufacturing: A review

Y Cheng, F Sun, Y Zhang, F Tao - Journal of Industrial Information …, 2019 - Elsevier
Task allocation (TA) problem is of critical importance in manufacturing industry, and
determines the effectiveness and efficiency of advanced manufacturing systems. A proper …

Neural-network-based distributed adaptive robust control for a class of nonlinear multiagent systems with time delays and external noises

H Ma, Z Wang, D Wang, D Liu, P Yan… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
A class of nonlinear multiagent systems with time delays and external noises is investigated,
and a distributed adaptive robust control protocol is developed. It is the first time for a class …

Multi-task allocation with an optimized quantum particle swarm method

M Li, C Liu, K Li, X Liao, K Li - Applied Soft Computing, 2020 - Elsevier
Multi-task allocation in multi-agent systems aims to accomplish tasks efficiently and
successfully, while obtaining more rewards to enhance the entire system operation at the …

Cooperative product agents to improve manufacturing system flexibility: A model-based decision framework

I Kovalenko, EC Balta, DM Tilbury… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the advancements in manufacturing system technology and the ever-increasing
demand for personalized products, there is a growing desire to improve the flexibility of …

Potential of a multi-agent system approach for production control in smart factories

ME Leusin, M Kück, EM Frazzon, MU Maldonado… - IFAC-PapersOnLine, 2018 - Elsevier
Digitalization and Industry 4.0 allow for the development of new approaches to deal with
classic industrial problems, such as production planning and control. In this context, Multi …

Finite-time output consensus of higher-order multiagent systems with mismatched disturbances and unknown state elements

G Li, X Wang, S Li - IEEE Transactions on Systems, Man, and …, 2017 - ieeexplore.ieee.org
This paper studies the finite-time output consensus problem of higher-order multiagent
systems subject to both mismatched disturbances and unknown state elements, where the …

ANGEL: Agent-based scheduling for real-time tasks in virtualized clouds

X Zhu, C Chen, LT Yang, Y **ang - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
The success of cloud computing makes an increasing number of real-time applications such
as signal processing and weather forecasting run in the cloud. Meanwhile, scheduling for …

A Dynamic Task Scheduling Method for Multiple UAVs Based on Contract Net Protocol

Z Zhang, H Liu, G Wu - Sensors, 2022 - mdpi.com
Unmanned aerial vehicles are becoming promising platforms for disaster relief, such as
providing emergency communication services in wireless sensor networks, delivering some …