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A method for constructing a machining knowledge graph using an improved transformer
Process knowledge base is a core component in the intelligent process, which determines the intelligent degree of product manufacturing …
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A multi-objective joint optimisation method for simultaneous part family formation and configuration design in delayed reconfigurable manufacturing system (D-RMS)
In the era of Industry 4.0, the demand fluctuation has become fiercer due to the characteristics of diversification, customisation, and …
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A systematic framework for tackling anomalous pre-welding workpiece postures with regular butt joints based on prototype features
In intelligent welding systems, pre-welding parameter extraction is a foremost technology in upgrading robotic welding and integrating …
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Dynamic decision-making for knowledge-enabled distributed resource configuration in cloud manufacturing considering stochastic order arrival
The emergence of COVID-19 caused the stagnation of production activities and promoted the changing market demand. These uncertainties …
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Human-Robot Shared Assembly Taxonomy: A step toward seamless human-robot knowledge transfer
Future manufacturing will witness a shift in human-robot relationships toward collaboration, compassion, and coevolution. This will …
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Semantic knowledge-driven A-GASeq: A dynamic graph learning approach for assembly sequence optimization
In the context of an increasingly automated and personalized manufacturing mode, efficient assembly sequence planning (ASP) has emerged …
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A digital thread-driven distributed collaboration mechanism between digital twin manufacturing units
The trialing of new products in production typically suffers from quality and productivity problems because of immature manufacturing …
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A Knowledge Graph-based knowledge representation for adaptive manufacturing control under mass personalization
Mass personalization is an achievable manufacturing paradigm, which requires flexible and responsible manufacturing operations in …
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Digital twin and parameter correlation-enabled variant design of production lines
The rapid transformation of production lines into a new design scheme is the key to improving the market competitiveness of …
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Dual task scheduling strategy for personalized multi-objective optimization of cycle time and fatigue in human-robot collaboration
The increased adoption of collaborative robots into human dominated work cells improves production efficiency of hard-to-automate …
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