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Prescriptive Maintenance of CPPS by Integrating Multimodal Data with Dynamic Bayesian Networks.

, , and . ML4CPS, page 1-8. Springer, (2017)

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Demonstrating Reinforcement Learning for Maintenance Scheduling in a Production Environment., , , , , and . ETFA, page 1-8. IEEE, (2021)A Process Model for Enhancing Digital Assistance in Knowledge-Based Maintenance., , , , , and . ML4CPS, page 87-96. Springer, (2018)An Efficient Multi-Objective Hybrid Simheuristic Approach for Advanced Rolling Horizon Production Planning., , , and . WSC, page 2108-2118. IEEE, (2019)Quality in production planning: Definition, quantification and a machine learning based improvement method., , , , and . ISM, volume 217 of Procedia Computer Science, page 358-365. Elsevier, (2023)Predicting Time-to-Failure of Plasma Etching Equipment using Machine Learning., , , , , , , and . ICPHM, page 1-8. IEEE, (2019)Organisation der Instandhaltung in dezentralen Produktionsstrukturen, , and . Königsbrunner Seminare, Augsburg, 1. Aufl edition, (1994)Prescriptive Maintenance of CPPS by Integrating Multimodal Data with Dynamic Bayesian Networks., , and . ML4CPS, page 1-8. Springer, (2017)Multimedia Applications in the Manufacturing Area : Scope and Limits of Technology., and . IMSA, page 112-116. IASTED/ACTA Press, (1999)