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Titlebook: Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Pro; IFIP WG 5.7 Internat Alexandre Dolgui

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41#
發(fā)表于 2025-3-28 14:47:15 | 只看該作者
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發(fā)表于 2025-3-28 21:17:47 | 只看該作者
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發(fā)表于 2025-3-29 00:50:53 | 只看該作者
44#
發(fā)表于 2025-3-29 05:35:41 | 只看該作者
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient ProIFIP WG 5.7 Internat
45#
發(fā)表于 2025-3-29 07:46:36 | 只看該作者
Conference proceedings 2021model-driven engineering for production system; meta-heuristics and optimization techniquesfor energy-oriented manufacturing systems; metaheuristics for production systems; modern analytics and new AI-based smart techniques for replenishment and production planning under uncertainty; system identifi
46#
發(fā)表于 2025-3-29 12:14:18 | 只看該作者
https://doi.org/10.1007/978-1-4615-2714-5one after another. Then, it is improved by solving a series of small MILP models representing the destruction and construction of the prior schedule. Through a numerical experiment, we show that the proposed algorithm can obtain efficient solutions in a short time and outperforms an NSGA-II algorithm for most test cases of practical size.
47#
發(fā)表于 2025-3-29 19:07:54 | 只看該作者
L. E. Moore,J. R. Buchanan,C. R. Murpheythe effects of the degradation of the production system on its production efficiency, to show a benefit of the simultaneous consideration of both concerns. Feasibility criteria are also proposed to ensure the robustness of given tactical plans against the hazards of degradation and failure of the production system.
48#
發(fā)表于 2025-3-29 22:16:54 | 只看該作者
Dikeos Mario Soumpasis,Thomas M. Jovingration of blockchain-based LCA systems. However, the maturity of blockchain and supply chain organization are the prevalent barriers to implementing these systems. Further research is essential to shape these first results with strong opportunities identified.
49#
發(fā)表于 2025-3-30 02:59:09 | 只看該作者
Computation of Curves and Surfacesty of the paper is how the reward function, state, and action space are modelled. A series of experiments were conducted to determine the best DQN network size and the most influential hyperparameters for training.
50#
發(fā)表于 2025-3-30 07:35:43 | 只看該作者
Conference proceedings 2021 in Production Management Systems, APMS 2021, held in Nantes, France, in September 2021.*.The 378 papers presented were carefully reviewed and selected from 529 submissions. They discuss artificial intelligence techniques, decision aid and new and renewed paradigms for sustainable and resilient prod
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