Referierte Publikationen
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Artikel in Zeitschriften (referiert) [8]
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[Fra20]
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Frazzon, E. M.; Agostino, I.; Broda, E.; Freitag, M.: Manufacturing networks in the era of digital production and operations: A socio-cyberphysical perspective. In: Annual Reviews in Control, 49(2020)0, pp. 288-294
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[Fra18b]
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Frazzon, E. M.; Albrecht, A.; Pires, M.; Israel, E.; Kück, M.; Freitag, M.: Hybrid approach for the integrated scheduling of production and transport processes along supply chains. In: International Journal of Production Research, 56(2018)5, pp. 2019-2035
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[Fra18a]
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Frazzon, E. M.; Kück, M.; Freitag, M.: Data-driven production control for complex and dynamic manufacturing systems. In: CIRP Annals - Manufacturing Technology, 67(2018)1, pp. 515-518
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[Leu18a]
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Leusin, M. E.; Frazzon, E. M.; Maldonado, M. U.; Kück, M.; Freitag, M.: Solving the Job-Shop Scheduling Problem in the Industry 4.0 Era. In: Technologies, 6(2018)4, pp. 1-27
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[Heg17]
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Heger, J.; Grundstein, S.; Freitag, M.: Online-scheduling using past and real-time data. An assessment by discrete event simulation using exponential smoothing. In: CIRP Journal of Manufacturing Science and Technology, 19(2017)0, pp. 158163 (also project: Zentronom)
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[Küc17a]
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Kück, M.; Ehm, J.; Hildebrandt, T.; Freitag, M.; Frazzon, E. M.: Adaptive PPS durch simulationsbasierte Optimierung - Selektion geeigneter Prioritätsregeln basierend auf Echtzeitinformationen einer Werkstattfertigung. In: wt Werkstattstechnik online, 4/2017, S. 288-292
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[Fre16b]
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Freitag, M.; Hildebrandt, T.: Automatic design of scheduling rules for complex manufacturing systems by multi-objective simulation-based optimization. In: CIRP Annals - Manufacturing Technology, 65(2016)1, pp. 433-436
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[Küc16e]
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Kück, M.; Ehm, J.; Freitag, M.; Frazzon, E. M.: Adaptives simulationsbasiertes Optimierungsverfahren - Konzept zur Planung und Steuerung dynamischer Produktionssysteme. In: Industrie 4.0 Management, 32(2016)5, S. 26-31
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Konferenzbeiträge (referiert) [9]
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[Bro22]
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Broda, E.; Freitag, M.: Towards a priority rule to integrate maintenance operations into production schedules. In: Bernard, A.; Dolgui, A.; Benderbal, H. H.; Ivanov, D.; Lemoine, D.; Sgarbossa, F. (eds.): IFAC-PapersOnLine 55(2022)10. Proc. of IFAC MIM 2022, Elsevier, Amsterdam, 2022, pp. 430-435
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[Pir20]
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Pires, M. C.; Frazzon, E. M.; Quadras, D.; Broda, E.; Freitag, M.: Simulation-Based Optimization for the Integrated Control of Production and Logistics: A Performance Comparison. In: Findeisen, R.; Hirche, S.; Janschek, K.; Mönnigmann, M. (eds.): IFAC-PapersOnLine 53(2019)2. Proc. of 21st IFAC World Congress 2020, Elsevier, Amsterdam, 2020, pp. 10639-10644
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[Tak20]
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Takeda-Berger, S. L.; Frazzon, E. M.; Broda, E.; Freitag, M.: Machine Learning in Production Scheduling: An Overview of the Academic Literature. In: Freitag, M.; Haasis, H.-D.; Kotzab, H.; Pannek, J. (eds.): Dynamics in Logistics. Proceedings of the 7th International Conference on Dynamics in Logistics (LDIC 2020), Springer, Cham, 2020, pp. 409-419
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[Leu18]
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Leusin, M. E.; Kück, M.; Frazzon, E. M.; Uriona, M.; Freitag, M.: Potential of a Multi-Agent System Approach for Production Control in Smart Factories. In: Macchi, M.; Monostori, M.; Pinto, R. (eds.): Proceedings of the 16th IFAC Symposium on Information Control Problems in Manufacturing, INCOM 2018. Elsevier, Amsterdam, NL, 2018, pp. 14591464
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[Pir18]
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Pires, M. C.; Frazzon, E. M.; Danielli, A. M. C.; Kück, M.; Freitag, M.: Towards a simulation-based optimization approach to integrate supply chain planning and control. In: Proceedings of the 51st CIRP Conference on Manufacturing Systems. Elsevier, N.N, 2018, pp. 520-525
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[Küc17]
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Kück, M.; Broda, E.; Freitag, M.; Hildebrandt, T.; Frazzon, E. M.: Towards Adaptive Simulation-Based Optimization to Select Individual Dispatching Rules for Production Control. In: Chan, W. K. V.; D\'Ambrogio, A.; Zacharewicz, G.; Mustafee, N.; Wainer, G.; Page, E. (Hrsg.): Proceedings of the 2017 Winter Simulation Conference. Institute of Electrical and Electronics Engineers Inc, Piscataway, New Jersey, USA, 2017, S. 3852-3863
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[Vie17]
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Vieira, G. E.; Kück, M.; Frazzon, E. M.; Freitag, M.: Evaluating the Robustness of Production Schedules using Discrete-Event Simulation. In: Dochain, Denis; Henrion, Didier; Peaucelle, Dimitri (eds.): 20th IFAC World Congress Proceedings. International Federation of Automatic Control (IFAC), N.N, 2017, pp. 7953-7958
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[Küc16b]
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Kück, M.; Ehm, J.; Freitag, M.; Frazzon, Enzo M.; Pimentel, R.: A Data-driven Simulation-based Optimisation Approach for Adaptive Scheduling and Control of Dynamic Manufacturing Systems. In: Wulfsberg, J. P.; Fette, M.; Montag, T. (eds.): Advanced Materials Research. Trans Tech Publications, Pfaffikon, Switzerland, 2016, pp. 449-456
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[Küc16c]
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Kück, M.; Ehm, J.; Hildebrandt, T.; Freitag, M.; Frazzon, E. M.: Potential of Data-Driven Simulation-Based Optimization for Adaptive Scheduling and Control of Dynamic Manufacturing Systems. In: Roeder, T. M. K.; Frazier, P. I.; Szechtman, R.; Zhou, E.; Huschka, T.; Chick, S. E. (eds.): Proceedings of the 2016 Winter Simulation Conference. Institute of Electrical and Electronics Engineers, Inc, Piscataway, New Jersey, USA, 2016, pp. 2820-2831
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Beiträge zu Sammelbänden (auch in Schriftenreihen) (referiert) [1]
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[Ago20a]
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Agostino, I. R. S.; Broda, E.; Frazzon, E. M.; Freitag, M.: Using a Digital Twin for Production Planning and Control in Industry 4.0. In: Sokolov, B.; Ivanov, D.; Dolgui, A. (eds.): Scheduling in Industry 4.0 and Cloud Manufacturing, International Series in Operations Research & Management Science. Springer, Cham, 289(2020), pp. 39-60
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Herausgeberschaft einer Zeitschrift (referiert) [1]
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[Fra]
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Frazzon; E.M.; Freitag, M.; Ivanov, D. (eds.): Intelligent methods and systems for decision-making support: Toward digital supply chain twins. International Journal of Information Management. Elsevier, 2021
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Nicht-referierte Publikationen
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Artikel in Zeitschriften (nicht referiert) [1]
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[Fra21]
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Frazzon; E.M.; Freitag, M.; Ivanov, D.: Intelligent methods and systems for decision-making support: Toward digital supply chain twins. In: International Journal of Information Management, 52(2021)102281, pp. 1-3
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