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Dynamic reassembly control in flexible remanufacturing systems using Ant Colony Optimisation
Remanufacturing demands flexible operational management because fluctuations in return volumes, component conditions, and processing …
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Physics-based simulation framework for Digital Twin applications: Machine parameter tuning for handling of lumber in the wood industry
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Towards digital twin-enhanced control policies: A knowledge-based classification of release and dispatching policies in manufacturing systems
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Future-Proof Production Scheduling and Control
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Integrating digital factory twin and AI for monitoring manufacturing systems through synthetic data generation and vision transformers
Integrating Digital Twin and Artificial Intelligence technologies is reshaping manufacturing monitoring systems by leveraging synthetic …
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A framework for virtual learning in industrial engineering education: development of a reconfigurable virtual learning factory application
Advances in digital factory technologies are offering great potential to innovate higher education, by enabling innovative learning …
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Monitoring manufacturing systems using AI: A method based on a digital factory twin to train CNNs on synthetic data
Modern cyber-physical production systems provide advanced solutions to enhance factory throughput and efficiency. However, monitoring …
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An upper bound for the inter-exit time of two jobs in an m-machine flow shop
This paper addresses the class of permutation flow shop scheduling where jobs, after their completion, must be grouped in batches. This …
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Robust scheduling in a two-machine re-entrant flow shop to minimise the value-at-risk of the makespan: branch-and-bound and heuristic algorithms based on Markovian activity networks and phase-type distributions
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A branch-and-bound approach to minimise the value-at-risk of the makespan in a stochastic two-machine flow shop
Planning and scheduling approaches in real manufacturing environments entail the need to cope with random attributes and variables to …
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