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Multi-layer edge resource placement optimization for factories.

, , , , and . J. Intell. Manuf., 35 (2): 825-840 (February 2024)

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Tool Wear and Surface Quality Monitoring Using High Frequency CNC Machine Tool Current Signature., , and . INDIN, page 1045-1050. IEEE, (2018)Industrie 4.0 und die Steigerung der Energieeffizienz in der Produktion, , and . Handbuch Industrie 4.0, chapter A11, Hanser, München, (2017)Conceptual Framework for manufacturing data preprocessing of diverse input sources., , , , , and . INDIN, page 1041-1046. IEEE, (2019)Edge Computing for the Production Industry A Systematic Approach to Enable Decision Support and Planning of Edge., , , and . INDIN, page 733-739. IEEE, (2019)Agent-Based Simulation Approach for Occupational Safety and Health Planning: A Case of Electroplating Facilities., , and . Simul. Notes Eur., 30 (4): 175-182 (2020)Data-driven failure mode and effect analysis (FMEA) to enhance maintenance planning., , , and . Comput. Ind., (2021)Multi-layer edge resource placement optimization for factories., , , , and . J. Intell. Manuf., 35 (2): 825-840 (February 2024)Introducing agent-based simulation of manufacturing systems to industrial discrete-event simulation tools., , , and . INDIN, page 1141-1146. IEEE, (2017)Data-and Expert-Driven Analysis of Cause-Effect Relationships in the Production of Lithium-Ion Batteries., , , , and . CASE, page 380-385. IEEE, (2019)Life Cycle Evaluation of Factories: The Case of a Car Body Welding Line with Pneumatic Actuators., , , , , and . APMS (3), volume 440 of IFIP Advances in Information and Communication Technology, page 546-554. Springer, (2014)