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Dynamic distributed decision-making for resilient resource reallocation in disrupted manufacturing systems.

, , , and . Int. J. Prod. Res., 62 (5): 1737-1757 (March 2024)

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Dynamic distributed decision-making for resilient resource reallocation in disrupted manufacturing systems., , , and . Int. J. Prod. Res., 62 (5): 1737-1757 (March 2024)A Requirements Driven Digital Twin Framework: Specification and Opportunities., , , , , , and . IEEE Access, (2020)An Integrated Framework for Dynamic Manufacturing Planning to Obtain New Line Configurations., , , , , , , , and . CASE, page 328-334. IEEE, (2022)Opportunities and Challenges to Integrate Artificial Intelligence into Manufacturing Systems: Thoughts from a Panel Discussion., , , and . CoRR, (2023)Cooperative Product Agents to Improve Manufacturing System Flexibility: A Model-Based Decision Framework., , , and . IEEE Trans Autom. Sci. Eng., 20 (1): 440-457 (2023)A Model Predictive Control Framework for Improving Risk-Tolerance of Manufacturing Systems., , , and . CCTA, page 136-142. IEEE, (2023)A Framework for Automatic Initialization of Multi-Agent Production Systems Using Semantic Web Technologies., , , , and . IEEE Robotics Autom. Lett., 4 (4): 4330-4337 (2019)A Methodology to Develop and Implement Digital Twin Solutions for Manufacturing Systems., , , , , , , and . IEEE Access, (2021)Risk-Averse Model Predictive Control for Priced Timed Automata., , , and . CoRR, (2022)Ontology-Based Feedback to Improve Runtime Control for Multi-Agent Manufacturing Systems., , , , and . CASE, page 1-7. IEEE, (2023)