A hybrid scheduling mechanism based on agent cooperation mechanism and fair emergency first in smart factory

S Malik, DH Kim - IEEE Access, 2020 - ieeexplore.ieee.org
Smart factory also known as smart manufacturing is an emerging field with the revolution of
industry 4.0. With the help of all these concepts, the smart factory integrates the …

A criticality-aware dynamic task scheduling mechanism for efficient resource load balancing in constrained smart manufacturing environment

AN Khan, N Iqbal, A Rizwan, S Malik, R Ahmad… - IEEE …, 2022 - ieeexplore.ieee.org
Smart factory is an exemplification of the Industrial Internet of Things (IIoT), connecting
devices to expedite the production process and delivery of customized products. Today's …

Enhanced time-constraint aware tasks scheduling mechanism based on predictive optimization for efficient load balancing in smart manufacturing

N Iqbal, AN Khan, A Rizwan, F Qayyum, S Malik… - Journal of Manufacturing …, 2022 - Elsevier
Smart manufacturing has great potential for developing customized products to meet the
dynamic needs of customers and a collaborative network to enhance production efficiency. It …

A distributed physical architecture and data-based scheduling method for smart factory based on intelligent agents

W Gu, S Liu, Z Zhang, Y Li - Journal of Manufacturing Systems, 2022 - Elsevier
With the increasing demands for personalized customization, the characteristics of order
gradually show dynamics and diversity, which bring new challenges to the production mode …

Reinforcement learning-based dynamic production-logistics-integrated tasks allocation in smart factories

J Lei, J Hui, F Chang, S Dassari… - International Journal of …, 2023 - Taylor & Francis
In Industry 4.0, the production planning and execution of smart factories (SFs) full of
continuously delivered small-batch orders become dynamic and complicated. Traditional …

Cross-network fusion and scheduling for heterogeneous networks in smart factory

J Wan, J Yang, S Wang, D Li, P Li… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In the context of Industry 4.0, extensive deployment and application of advanced
manufacturing equipment and various sensors is leading to a growing demand for data …

Industrial big-data-driven and CPS-based adaptive production scheduling for smart manufacturing

F Qiao, J Liu, Y Ma - International Journal of Production Research, 2021 - Taylor & Francis
Smart manufacturing that involves tight integration of the physical system and cyber system
is a hot topic in both industry and academia in the era of the Internet and big data. However …

A proactive task dispatching method based on future bottleneck prediction for the smart factory

B Huang, W Wang, S Ren, RY Zhong… - International Journal of …, 2019 - Taylor & Francis
The smart factory has been widely applied in manufacturing enterprises to meet dynamics in
the global market. Bottleneck-based dispatching method (BDM) is a promising approach to …

A hybrid computing solution and resource scheduling strategy for edge computing in smart manufacturing

X Li, J Wan, HN Dai, M Imran, M Xia… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
At present, smart manufacturing computing framework has faced many challenges such as
the lack of an effective framework of fusing computing historical heritages and resource …

A big data centric integrated framework and typical system configurations for smart factory

S Wang, C Zhang, D Li - … , Industrial IoT 2016, GuangZhou, China, March …, 2016 - Springer
Personalized consumption demand and global challenges such as energy shortage and
population aging require flexible, efficient, and green production paradigm. Smart factory …