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Human-Machine Cooperation with Autonomous CPS in the Context of Industry 4.0: A Literature Review., , , and . SOHOMA, volume 952 of Studies in Computational Intelligence, page 327-342. Springer, (2020)Ten years of SOHOMA Workshop Proceedings: A Bibliometric Analysis and Leading Trends., , , , , and . SOHOMA, volume 952 of Studies in Computational Intelligence, page 151-168. Springer, (2020)Multi-objective Cross-Docking in Physical Internet Hubs Under Arrival Time Uncertainty., , , , , and . SOHOMA, volume 952 of Studies in Computational Intelligence, page 460-472. Springer, (2020)Integration of Blockchain and the Physical Internet: A Review and Future Prospects., , , and . SOHOMA, volume 1136 of Studies in Computational Intelligence, page 583-592. Springer, (2023)Toward Efficient FMS Scheduling Through Rules Combination Using an Optimization-Simulation Mechanism., , and . SOHOMA, volume 1034 of Studies in Computational Intelligence, page 559-571. Springer, (2021)Digital interoperability in logistics and supply chain management: state-of-the-art and research avenues towards Physical Internet., , , , , and . Comput. Ind., (2021)Dynamic scheduling of manufacturing systems: a product-driven approach using hyper-heuristics., , and . Int. J. Comput. Integr. Manuf., 34 (6): 641-665 (2021)EasySched: a multi-agent architecture for the predictive and reactive scheduling of Industry 4.0 production systems based on the available renewable energy., , and . CoRR, (2019)Multi-agent system for the reactive fleet maintenance support planning of a fleet of mobile cyber-physical systems., , , , and . IET Cyper-Phys. Syst.: Theory & Appl., 5 (4): 376-387 (2020)Blockchain Adoption for Autonomous Train: Opportunities and Challenges., , and . SOHOMA, volume 1083 of Studies in Computational Intelligence, page 181-195. Springer, (2022)