Digital twins: State of the art theory and practice, challenges, and open research questions A Sharma, E Kosasih, J Zhang, A Brintrup, A Calinescu Journal of Industrial Information Integration 30, 100383, 2022 | 262 | 2022 |
A machine learning approach for predicting hidden links in supply chain with graph neural networks EE Kosasih, A Brintrup International Journal of Production Research 60 (17), 5380-5393, 2022 | 110 | 2022 |
Towards knowledge graph reasoning for supply chain risk management using graph neural networks EE Kosasih, F Margaroli, S Gelli, A Aziz, N Wildgoose, A Brintrup International Journal of Production Research, 1-17, 2022 | 40 | 2022 |
Dynamic inventory replenishment strategy for aerospace manufacturing supply chain: combining reinforcement learning and multi-agent simulation H Wang, J Tao, T Peng, A Brintrup, EE Kosasih, Y Lu, R Tang, L Hu International Journal of Production Research 60 (13), 4117-4136, 2022 | 22 | 2022 |
Reinforcement learning provides a flexible approach for realistic supply chain safety stock optimisation EE Kosasih, A Brintrup IFAC-PapersOnLine 55 (10), 1539-1544, 2022 | 17 | 2022 |
Data considerations in graph representation learning for supply chain networks A Aziz, EE Kosasih, RR Griffiths, A Brintrup arXiv preprint arXiv:2107.10609, 2021 | 15 | 2021 |
Supply chain digital twin framework design: an approach of supply chain operations reference model and system of systems J Zhang, A Brintrup, A Calinescu, E Kosasih, A Sharma arXiv preprint arXiv:2107.09485, 2021 | 14 | 2021 |
Digital supply chain surveillance: concepts, challenges, and frameworks A Brintrup, EE Kosasih, BL MacCarthy, G Demirel The Digital Supply Chain, 379-396, 2022 | 12 | 2022 |
On graph neural network ensembles for large-scale molecular property prediction EE Kosasih, J Cabezas, X Sumba, P Bielak, K Tagowski, K Idanwekhai, ... arXiv preprint arXiv:2106.15529, 2021 | 10 | 2021 |
Supply chain link prediction on uncertain knowledge graph N Brockmann, E Elson Kosasih, A Brintrup ACM SIGKDD Explorations Newsletter 24 (2), 124-130, 2022 | 8 | 2022 |
A review of explainable artificial intelligence in supply chain management using neurosymbolic approaches EE Kosasih, E Papadakis, G Baryannis, A Brintrup International Journal of Production Research 62 (4), 1510-1540, 2024 | 7 | 2024 |
Digital supply chain surveillance using artificial intelligence: definitions, opportunities and risks A Brintrup, E Kosasih, P Schaffer, G Zheng, G Demirel, BL MacCarthy International Journal of Production Research 62 (13), 4674-4695, 2024 | 6 | 2024 |
Digital twins: State of the art theory and practice, challenges, and open research questions. arXiv 2020 A Sharma, E Kosasih, J Zhang, A Brintrup, A Calinescu arXiv preprint arXiv:2011.02833, 0 | 5 | |
Towards digital supply chain risk surveillance E Kosasih, A Brintrup IFAC-PapersOnLine 55 (10), 2499-2504, 2022 | 4 | 2022 |
GAETS: A Graph Autoencoder Time Series Approach Towards Battery Parameter Estimation EE Kosasih, RB Joshi, J Channegowda arXiv preprint arXiv:2111.09314, 2021 | 2 | 2021 |
Neurosymbolic Reasoning for Link Prediction in Supply Chain Knowledge Graphs E Kosasih | | 2023 |
Agrifood Data Study Group G Demirel | | |