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Manufacturing as a Service in Industry 4.0: A Multi-Objective Optimization Approach.

, , , and . KES-IDT, volume 193 of Smart Innovation, Systems and Technologies, page 37-47. Springer, (2020)

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A core reference ontology for steelmaking process knowledge modelling and information management., , and . Comput. Ind., (2022)Smart Condition Monitoring for Industry 4.0 Manufacturing Processes: An Ontology-Based Approach., , , , and . Cybern. Syst., 50 (2): 82-96 (2019)Semantic Technologies for the Modeling of Condition Monitoring Knowledge in the Framework of Industry 4.0.. EKAW (Doctoral Consortium), volume 2306 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)A Knowledge Graph-based Approach for the Quality Management of Bosch., , and . ISWC (Posters/Demos/Industry), volume 3632 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)Combining chronicle mining and semantics for predictive maintenance in manufacturing processes., , , , and . Semantic Web, 11 (6): 927-948 (2020)An Ontology-based Approach for Failure Classification in Predictive Maintenance Using Fuzzy C-means and SWRL Rules., , , , and . KES, volume 159 of Procedia Computer Science, page 630-639. Elsevier, (2019)Towards an Ontological Representation of Condition Monitoring Knowledge in the Manufacturing Domain., , and . KEOD, page 310-316. SciTePress, (2018)Semantic technologies for the modeling of predictive maintenance for a SME network in the framework of industry 4.0. (Technologies sémantiques pour la modélisation de la maintenance prédictive pour un réseau de PME dans le cadre de l'industrie 4.0).. Normandy University, Caen, France, (2020)Combining Evidential Clustering and Ontology Reasoning for Failure Prediction in Predictive Maintenance., , , , and . ICAART (2), page 618-625. SCITEPRESS, (2020)KSPMI: A Knowledge-based System for Predictive Maintenance in Industry 4.0., , , , , , and . Robotics Comput. Integr. Manuf., (2022)