Human-Robot Collaboration in Mixed-Flow Assembly Line Balancing under Uncertainty: An Efficient Discrete Bees Algorithm
X Zhang, AM Fathollahi-Fard, G Tian… - Journal of Industrial …, 2024 - Elsevier
In the evolving landscape of manufacturing and remanufacturing, assembly lines play a
crucial role. Within the context of Industry 5.0, human workers are seen as a valuable and …
crucial role. Within the context of Industry 5.0, human workers are seen as a valuable and …
System for product flow configuration selection for reconfigurable manufacturing system
This paper is about the development of a system for product flow configuration selection for
a reconfigurable manufacturing system (RMS) facing variations in product design and …
a reconfigurable manufacturing system (RMS) facing variations in product design and …
[HTML][HTML] Assessment of design approaches for reconfigurable manufacturing systems based on forecasted demand data
In this paper, the problem of configuration design in Reconfigurable Manufacturing Systems
(RMS) is addressed for a scalable production system that can produce different products …
(RMS) is addressed for a scalable production system that can produce different products …
Integrating small data and shape prior knowledge with gradient-enhanced Kriging through adaptive knowledge sampling
H Long, J Hao, W Ye, Z Zhu, M Shu - Computers & Industrial Engineering, 2024 - Elsevier
Integrating prior knowledge into surrogate models constitutes an advanced approach to
tackling the challenges posed by small data. The existing gradient-enhanced Kriging (GEK) …
tackling the challenges posed by small data. The existing gradient-enhanced Kriging (GEK) …
A real-time adaptive dynamic scheduling method for manufacturing workshops based on digital twin
W Gu, L Duan, S Liu, Z Guo - Flexible Services and Manufacturing Journal, 2024 - Springer
Abstract Under Industry 4.0, manufacturing workshops are confronted with escalating
uncertainties, dynamic shifts in demands, and the challenges of optimizing resources. The …
uncertainties, dynamic shifts in demands, and the challenges of optimizing resources. The …
Knowledge Graph-Enhanced Digital Twin Framework for Optimized Job Shop Scheduling in Smart Manufacturing
The emergence of Digital Twin (DT) technology over the past decade has introduced a
transformative perspective to various research areas, notably the Job Shop Scheduling …
transformative perspective to various research areas, notably the Job Shop Scheduling …
Time-series Forecasting in Industrial Environments: A Performance Study and a Novel Late Fusion Framework
In manufacturing environments, monitoring of the Overall Equipment Effectiveness (OEE) via
soft sensors plays a pivotal role in enhancing productivity and efficiently planning …
soft sensors plays a pivotal role in enhancing productivity and efficiently planning …