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Product Driven Systems Facing Unexpected Perturbations: How Operational Research Models and Approaches Can Be Useful?

, , , and . SOHOMA, volume 694 of Studies in Computational Intelligence, page 259-267. Springer, (2016)

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Coupling Predictive Scheduling and Reactive Control in Manufacturing: State of the Art and Future Challenges., , , , , and . Service Orientation in Holonic and Multi-agent Manufacturing, volume 594 of Studies in Computational Intelligence, Springer, (2015)Product Driven Systems Facing Unexpected Perturbations: How Operational Research Models and Approaches Can Be Useful?, , , and . SOHOMA, volume 694 of Studies in Computational Intelligence, page 259-267. Springer, (2016)The e-BOM to m-BOM Transformation for Building Management Systems., , and . SOHOMA, volume 803 of Studies in Computational Intelligence, page 249-260. Springer, (2018)Using a classifier ensemble for proactive quality monitoring and control: The impact of the choice of classifiers types, selection criterion, and fusion process., , , , , and . Comput. Ind., (2018)Coupling digital simulation and machine learning metamodel through an active learning approach in Industry 4.0 context., , and . Comput. Ind., (2021)A MLP for Dryer Energy Consumption Prediction in Wood Panel Industry., , , and . IJCCI, page 381-388. SCITEPRESS, (2022)Using Analytic Hierarchical Process for Scheduling Problems Based on Smart Lots and Their Quality Prediction Capability., , , , and . SOHOMA, volume 803 of Studies in Computational Intelligence, page 337-348. Springer, (2018)Dissimilarity to Class Medoids as Features for 3D Point Cloud Classification., , , and . APMS (3), volume 632 of IFIP Advances in Information and Communication Technology, page 573-581. Springer, (2021)Formal and modelling frameworks for Social Holonic Control Architectures., , , and . Comput. Ind., (2021)Models simulation and interoperability using MDA and HLA. CoRR, (2006)