Editorial for the special issue: AI and data-driven decisions in manufacturing.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 3599, doi. 10.1007/s10845-024-02499-9
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Works matching IS 09565515 AND DT 2024 AND VI 35 AND IP 8
Results: 33
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Managing product-inherent constraints with artificial intelligence: production control for time constraints in semiconductor manufacturing.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 4259, doi. 10.1007/s10845-024-02472-6
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3
Shapley-based explainable AI for clustering applications in fault diagnosis and prognosis.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 4071, doi. 10.1007/s10845-024-02468-2
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4
Framework of knowledge management for human–robot collaborative mold assembly using heterogeneous cobots.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 3713, doi. 10.1007/s10845-024-02439-7
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5
Conceptualizing the digital thread for smart manufacturing: a systematic literature review.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 3629, doi. 10.1007/s10845-024-02407-1
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6
Remaining useful lifetime prediction for milling blades using a fused data prediction model (FDPM).
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 4035, doi. 10.1007/s10845-024-02398-z
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7
Enterprise and service−level scheduling of robot production services in cloud manufacturing with deep reinforcement learning.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 3889, doi. 10.1007/s10845-023-02285-z
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8
A predictive maintenance model for health assessment of an assembly robot based on machine learning in the context of smart plant.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 3995, doi. 10.1007/s10845-023-02281-3
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9
Automatic model generation for material flow simulations of Third-Party Logistics.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 3857, doi. 10.1007/s10845-023-02257-3
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10
Machine vision-based recognition of elastic abrasive tool wear and its influence on machining performance.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 4201, doi. 10.1007/s10845-023-02256-4
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11
From framework to industrial implementation: the digital twin in process planning.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 3793, doi. 10.1007/s10845-023-02268-0
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12
A cyber-physical production system for autonomous part quality control in polymer additive manufacturing material extrusion process.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 3655, doi. 10.1007/s10845-024-02389-0
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13
Online performance and proactive maintenance assessment of data driven prediction models.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 3959, doi. 10.1007/s10845-024-02357-8
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14
The multisensor information fusion-based deep learning model for equipment health monitor integrating subject matter expert knowledge.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 4055, doi. 10.1007/s10845-024-02338-x
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15
A data driven sequential learning framework to accelerate and optimize multi-objective manufacturing decisions.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 4087, doi. 10.1007/s10845-024-02337-y
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16
Towards a knowledge graph framework for ad hoc analysis in manufacturing.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 3731, doi. 10.1007/s10845-023-02319-6
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17
Multi agent reinforcement learning for online layout planning and scheduling in flexible assembly systems.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 3917, doi. 10.1007/s10845-023-02309-8
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- Article
18
Survey on ontology-based explainable AI in manufacturing.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 3605, doi. 10.1007/s10845-023-02304-z
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- Article
19
Mathematical modelling and a discrete cuckoo search particle swarm optimization algorithm for mixed model sequencing problem with interval task times.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 3837, doi. 10.1007/s10845-023-02300-3
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20
Label synchronization for Hybrid Federated Learning in manufacturing and predictive maintenance.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 4015, doi. 10.1007/s10845-023-02298-8
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21
Case study on delivery time determination using a machine learning approach in small batch production companies.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 3937, doi. 10.1007/s10845-023-02290-2
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22
Semantic part segmentation of spatial features via geometric deep learning for automated control cabinet assembly.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 3681, doi. 10.1007/s10845-023-02267-1
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23
Reinforcement learning for sustainability enhancement of production lines.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 3775, doi. 10.1007/s10845-023-02258-2
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24
CNN architecture-based hybrid fusion model for in-situ monitoring to fabricate metal matrix composite by laser melt injection.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 4181, doi. 10.1007/s10845-023-02207-z
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25
Intrinsic and post-hoc XAI approaches for fingerprint identification and response prediction in smart manufacturing processes.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 4159, doi. 10.1007/s10845-023-02266-2
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26
Cloud material handling systems: a cyber-physical system to enable dynamic resource allocation and digital interoperability.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 3815, doi. 10.1007/s10845-023-02262-6
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27
Predictive reinforcement learning: map-less navigation method for mobile robot.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 4217, doi. 10.1007/s10845-023-02197-y
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28
A multi-agent based big data analytics system for viable supplier selection.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 3753, doi. 10.1007/s10845-023-02253-7
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29
Optimization of processing parameters for waterjet-guided laser machining of SiC/SiC composites.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 4137, doi. 10.1007/s10845-023-02225-x
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30
Concept for the automated adaption of abstract planning domains for specific application cases in skills-based industrial robotics.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 4233, doi. 10.1007/s10845-023-02211-3
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31
Deep reinforcement learning for dynamic scheduling of energy-efficient automated guided vehicles.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 3875, doi. 10.1007/s10845-023-02208-y
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32
Designing an adaptive and deep learning based control framework for modular production systems.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 4113, doi. 10.1007/s10845-023-02249-3
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33
Praxis: a framework for AI-driven human action recognition in assembly.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 3697, doi. 10.1007/s10845-023-02228-8
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