Artificial intelligence in advanced manufacturing: Current status and future outlook
Today's manufacturing systems are becoming increasingly complex, dynamic, and
connected. The factory operations face challenges of highly nonlinear and stochastic activity …
connected. The factory operations face challenges of highly nonlinear and stochastic activity …
Throughput analysis of production systems: recent advances and future topics
J Li, D E. Blumenfeld, N Huang… - International Journal of …, 2009 - Taylor & Francis
Throughput analysis is important for the design, operation and management of production
systems. A substantial amount of research has been devoted to develo** analytical …
systems. A substantial amount of research has been devoted to develo** analytical …
Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics
Manufacturing flexibility improves a firm's ability to react in timely manner to customer
demands and to increase production system productivity without incurring excessive costs …
demands and to increase production system productivity without incurring excessive costs …
[HTML][HTML] A digital twin based framework for detection, diagnosis, and improvement of throughput bottlenecks
Digitalization through Industry 4.0 technologies is one of the essential steps for the complete
collaboration, communication, and integration of heterogeneous resources in a …
collaboration, communication, and integration of heterogeneous resources in a …
A Hierarchical structure of key performance indicators for operation management and continuous improvement in production systems
Key performance indicators (KPIs) are critical for manufacturing operation management and
continuous improvement (CI). In modern manufacturing systems, KPIs are defined as a set of …
continuous improvement (CI). In modern manufacturing systems, KPIs are defined as a set of …
Assembly systems in Industry 4.0 era: a road map to understand Assembly 4.0
The 4th industrial revolution (Industry 4.0, I4. 0) is based upon the penetration of many new
technologies to the industrial world. These technologies are posed to fundamentally change …
technologies to the industrial world. These technologies are posed to fundamentally change …
Improved multi-fidelity simulation-based optimisation: application in a digital twin shop floor
Z Zhang, Z Guan, Y Gong, D Luo… - International Journal of …, 2022 - Taylor & Francis
In recent years, the literature has paid considerable attention to digital twin technology for
the implementation of Industry 4.0 and intelligent manufacturing. Most of the literature …
the implementation of Industry 4.0 and intelligent manufacturing. Most of the literature …
Explainable multi-agent deep reinforcement learning for real-time demand response towards sustainable manufacturing
The demand response (DR) plays a significant role in manufacturing system energy
management and sustainable industrial development. Current literature on DR management …
management and sustainable industrial development. Current literature on DR management …
Time-of-use based electricity demand response for sustainable manufacturing systems
As required by the Energy Policy Act of 2005, utility companies across the US are offering
TOU (time-of-use) based electricity demand response programs. The TOU rate gives …
TOU (time-of-use) based electricity demand response programs. The TOU rate gives …
SPECIES—Co-evolution of products, processes and production systems
Manufacturing enterprises are changing the way they behave in the market to face the
increasing complexity of the economic, socio-political and technological dynamics …
increasing complexity of the economic, socio-political and technological dynamics …