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An inventory data-driven model for predictive-reactive production scheduling.

, and . Int. J. Prod. Res., 62 (9): 3059-3083 (2024)

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Towards adaptive simulation-based optimization to select individual dispatching rules for production control., , , , and . WSC, page 3852-3863. IEEE, (2017)Including operator's skill and environment conditions in IMS., , , , , , , , and . INDIN, page 295-300. IEEE, (2014)Spare parts supply chains' operational planning using technical condition information from intelligent maintenance systems., , , , and . Annu. Rev. Control., 38 (1): 147-154 (2014)Potential of data-driven simulation-based optimization for adaptive scheduling and control of dynamic manufacturing systems., , , , and . WSC, page 2820-2831. IEEE, (2016)Collaborative Distributed Operational Planning for Spare Parts Supply Chains., , , , , and . LDIC, page 95-101. Springer, (2018)Sustainability and Effectiveness in Global Supply Chains: Toward an Approach Based on a Long-term Learning Process., and . LDIC, page 251-258. Springer, (2007)Visualization tool for cyber-physical maintenance systems., , , , , , , and . INDIN, page 566-571. IEEE, (2014)Design Approach for Additive Manufacturing in Spare Part Supply Chains., , , , and . IEEE Trans. Ind. Informatics, 17 (2): 757-765 (2021)Manufacturing networks in the era of digital production and operations: A socio-cyber-physical perspective., , , and . Annu. Rev. Control., (2020)Readiness of Brazilian Industrial Engineering postgraduate programs for Industry 4.0: A knowledge dimensions assessment., , , , , and . Comput. Appl. Eng. Educ., 31 (3): 501-519 (May 2023)