| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A collaborative robot for the factory of the future: BAZAR
|
Cherubini, Andrea
|
|
|
105 |
9 |
p. 3643-3659
|
artikel
|
| 2 |
A dynamic order acceptance and scheduling approach for additive manufacturing on-demand production
|
Li, Qiang
|
|
|
105 |
9 |
p. 3711-3729
|
artikel
|
| 3 |
A Function-Behaviour-Structure design methodology for adaptive production systems
|
Sanderson, David
|
|
|
105 |
9 |
p. 3731-3742
|
artikel
|
| 4 |
A fuzzy bi-objective flexible cell scheduling optimization model under green and energy-efficient strategy using Pareto-based algorithms: SATPSPGA, SANRGA, and NSGA-II
|
Hemmati Far, Mohammad
|
|
|
105 |
9 |
p. 3853-3879
|
artikel
|
| 5 |
An Industry 4.0 approach to assembly line resequencing
|
Rossit, Daniel Alejandro
|
|
|
105 |
9 |
p. 3619-3630
|
artikel
|
| 6 |
Anomaly detection in Skin Model Shapes using machine learning classifiers
|
Yacob, Filmon
|
|
|
105 |
9 |
p. 3677-3689
|
artikel
|
| 7 |
A predictive association rule-based maintenance policy to minimize the probability of breakages: application to an oil refinery
|
Antomarioni, Sara
|
|
|
105 |
9 |
p. 3661-3675
|
artikel
|
| 8 |
Assembly systems in Industry 4.0 era: a road map to understand Assembly 4.0
|
Cohen, Yuval
|
|
|
105 |
9 |
p. 4037-4054
|
artikel
|
| 9 |
Assembly validation in virtual reality—a demonstrative case
|
Jayasekera, R. D. M. D.
|
|
|
105 |
9 |
p. 3579-3592
|
artikel
|
| 10 |
Assessment of virtual reality-based manufacturing assembly training system
|
Abidi, Mustufa Haider
|
|
|
105 |
9 |
p. 3743-3759
|
artikel
|
| 11 |
Augmented reality application to support the assembly of highly customized products and to adapt to production re-scheduling
|
Mourtzis, Dimitris
|
|
|
105 |
9 |
p. 3899-3910
|
artikel
|
| 12 |
Automatic detection of defective crankshafts by image analysis and supervised classification
|
Remeseiro, Beatriz
|
|
|
105 |
9 |
p. 3761-3777
|
artikel
|
| 13 |
CoMM: a consensus algorithm for multi-agent-based manufacturing system to deal with perturbation
|
Mezgebe, Tsegay Tesfay
|
|
|
105 |
9 |
p. 3911-3926
|
artikel
|
| 14 |
Correction to: Cyber-physical production systems architecture based on multi-agent’s design pattern—comparison of selected approaches mapping four agent patterns
|
Cruz Salazar, Luis Alberto
|
|
|
105 |
9 |
p. 4035
|
artikel
|
| 15 |
Correction to: Defending against product-oriented cyber-physical attacks on machining systems
|
Shafae, Mohammed S.
|
|
|
105 |
9 |
p. 3851-3852
|
artikel
|
| 16 |
Cross reality to enhance worker cognition in industrial assembly operations
|
Simões, Bruno
|
|
|
105 |
9 |
p. 3965-3978
|
artikel
|
| 17 |
Current and future Industry 4.0 capabilities for information and knowledge sharing
|
Li, Dan
|
|
|
105 |
9 |
p. 3951-3963
|
artikel
|
| 18 |
Cyber-physical production systems architecture based on multi-agent’s design pattern—comparison of selected approaches mapping four agent patterns
|
Cruz Salazar, Luis Alberto
|
|
|
105 |
9 |
p. 4005-4034
|
artikel
|
| 19 |
Defending against product-oriented cyber-physical attacks on machining systems
|
Shafae, Mohammed S.
|
|
|
105 |
9 |
p. 3829-3850
|
artikel
|
| 20 |
Defending against product-oriented cyber-physical attacks on machining systems
|
Shafae, Mohammed S.
|
|
|
105 |
9 |
p. 3829-3850
|
artikel
|
| 21 |
Design and fabrication of a low-volume, high-temperature injection mould leveraging a ‘rapid tooling’ approach
|
Kalami, Hamed
|
|
|
105 |
9 |
p. 3797-3813
|
artikel
|
| 22 |
Design and management of digital manufacturing and assembly systems in the Industry 4.0 era
|
Cohen, Yuval
|
|
|
105 |
9 |
p. 3565-3577
|
artikel
|
| 23 |
Fault diagnosis system of bridge crane equipment based on fault tree and Bayesian network
|
Zheng, Yu
|
|
|
105 |
9 |
p. 3605-3618
|
artikel
|
| 24 |
Functional verification of distributed automation systems
|
Zeller, Andreas
|
|
|
105 |
9 |
p. 3991-4004
|
artikel
|
| 25 |
Intelligent configuring for agile joint jig based on smart composite jig model
|
Zhang, Hongbo
|
|
|
105 |
9 |
p. 3927-3949
|
artikel
|
| 26 |
Managing complexity of assembly with modularity: a cost and benefit analysis
|
Shoval, Shraga
|
|
|
105 |
9 |
p. 3815-3828
|
artikel
|
| 27 |
Modeling, planning, and scheduling of shop-floor assembly process with dynamic cyber-physical interactions: a case study for CPS-based smart industrial robot production
|
Tan, Qingmeng
|
|
|
105 |
9 |
p. 3979-3989
|
artikel
|
| 28 |
Performance analysis and comparison of machine learning algorithms for predicting nugget width of resistance spot welding joints
|
Zamanzad Gavidel, Saeed
|
|
|
105 |
9 |
p. 3779-3796
|
artikel
|
| 29 |
Production logistics and human-computer interaction—state-of-the-art, challenges and requirements for the future
|
Klumpp, Matthias
|
|
|
105 |
9 |
p. 3691-3709
|
artikel
|
| 30 |
Reinforcement learning–based design of orienting devices for vibratory bowl feeders
|
Stocker, Cosima
|
|
|
105 |
9 |
p. 3631-3642
|
artikel
|
| 31 |
Surfel convolutional neural network for support detection in additive manufacturing
|
Huang, Jida
|
|
|
105 |
9 |
p. 3593-3604
|
artikel
|
| 32 |
Towards seamless human robot collaboration: integrating multimodal interaction
|
Papanastasiou, Stergios
|
|
|
105 |
9 |
p. 3881-3897
|
artikel
|
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