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Professur Fabrikplanung und Intralogistik
Veröffentlichungen
Professur Fabrikplanung und Intralogistik 
Mitarbeitende an der Professur, rechts das Logo der Professur

Veröffentlichungen

Eine Liste der Publikationen der letzten 5 Jahre finden Sie hier:

Fachbeiträge 2024 in chronologischer Reihenfolge

 
  • Jodlbauer, H., Thürer, M., and Thienemann, A.K., 2024, On Cost and Revenue in Circular Supply Chains: Where to close the Loop?, Cleaner Logistics and Supply Chain, (in print)

  • Hertel, D., Bräunig, G., Reuter, T. and Hummel, J., 2024, KI-gestützte Demontage von Elektrofahrzeugbatterien: Ein nachhaltiger Übergang zur Elektromobilität, ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. DE GRUYTER. 119.2024, 11. (in print)

  • Bräunig, G., Menetrey, S. and Hertel, D., 2024, Construction of a Demonstrator for Artificial Intelligence-Supported, Automated Dismantling of Battery Systems. In: Thürer, M., Riedel, R., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments. APMS 2024. IFIP Advances in Information and Communication Technology, vol 732. Springer, Cham. https://doi.org/10.1007/978-3-031-71637-9_2

  • Callefi, M.H., Grzona, P., Bueno, A., Santos, D.S. e Godinho Filho, M., 2024. Unlocking the Potential of Blockchain in Road Freight Transportation Operations. In: M. Thürer, R. Riedel, G. von Cieminski e D. Romero, eds. Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments. APMS 2024. IFIP Advances in Information and Communication Technology, vol 731. Cham: Springer. https://doi.org/10.1007/978-3-031-71633-1_6.

  • Ma, L., Yuan, M., Qu, T., Liu, L., Zhang, K., Li, C. and Thürer, M., 2024, A Worker-Centric Order Release Method Based on Workload Control: An Assessment by Simulation, APMS.

  • Fernandes, N.O., Thürer, M., and Costa, F., 2024, Work Faster, Work in Parallel or Overtime? An Assessment of Short-term Capacity Adjustments by Simulation, Mathematics, (in print)

  • Zhao, R., Liang, T., Wu, Z. van den Berg, D., Thürer, M. and Weise, T., 2024, Randomized Local Search on the 2D Rectangular Bin Packing Problem with Item Rotation, Proceedings of The Genetic and Evolutionary Computation Conference 2024 (GECCO ’24).

  • Weißflog, L., Grzona, P., and Thürer, M., 2024, Balancing the Three-legged Stool of Learning Factories, Lecture Notes in Networks and Systems, Conference on Learning Factories (CLF).

  • Russell, E., O’Reilly, J., Blome, C., Bussi, M., Chung, H.J., Finney, M., Johansson, H., Leon, M., Leschke, J., Mytna-Kurekova, L., Ruffa, C., Schoyen, M.A., Thürer, M., Unt, M., Verdin, R., and Wallace, C., 2024, Moving Away From, Moving Towards and Moving Against Others: An Adaptive Multi-Strategy Approach to Defend and Build Resources in Self-Protection Mode, Journal of Vocational Behavior, (in print)

  • Lehmann, S., Schließer, J., Schumann, S., Winkler, H., Jabs, I. (2024). Knowledge Management in SMEs: Applying Link Prediction for Assisted Decision Making. In: Villmann, T., Kaden, M., Geweniger, T., Schleif, FM. (eds) Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond. WSOM+ 2024. Lecture Notes in Networks and Systems, vol 1087. Springer, Cham. https://doi.org/10.1007/978-3-031-67159-3_24

  • Callefi, M. H.; Ganga, G. M. D.; Godinho Filho, M.; Silva, E. R.; Osiro, L.; Reis, L. 2024, A Roadmap for Prioritizing Technology-Enabled Capabilities in Road Freight Transportation Management, International Journal Of Logistics Research and Applications, (in print)

  • Pissardini, P. E., Godinho Filho, M., Callefi, M. H., Ganga, G. M. D., & Ribeiro da Silva, E. (2024). Smart-enhanced organisational functions: A framework comprising capabilities, barriers, and evolutional path. Expert Systems with Applications, 124530. https://doi.org/10.1016/j.eswa.2024.124530

  • He, Z.L., Thürer, M., and Zhou, W.L., 2024, The Use of Reinforcement Learning for Material Flow Control: An Assessment by Simulation, International Journal of Production Economics, (in print)

  • Fernandes, N.O., Thürer, M., and Carmo-Silva, S., 2024, DDMRP Relative Priority for Production Execution: An Assessment by Simulation, Operations Management Research, (in print)

  • Yuan, M., Ma, L., Qu, T., Thürer, M., and Huang, G.Q., 2024, Optimizing Corrected Aggregate Workload Approach by Considering Job’s Routing Position induced Variable Indirect Workload, Industrial Management & Data Systems, (in print)

  • Hertel, D., Bräunig, G., and Thürer, M., 2024, Towards a Green Electromobility Transition: A Systematic Review of the State of the Art on Electric Vehicle Battery Systems Disassembly, Journal of Manufacturing Systems, vol. 74. http://dx.doi.org/10.1016/j.jmsy.2024.03.013

  • Frank, A.G., Thürer, M., Godinho Filho, M., and Marodin, G.A., 2024, Beyond Industry 4.0 – Integrating Lean, Digital Technologies and People, International Journal of Operations & Production Management, (in print)

  • Tan, B.Q., Xu, S.X., Thürer, M., Kang, K., Zhao, Z., and Li, M., 2024, Booking versus search-based parking strategy: A game-theoretic methodology, Research in Transportation Economics, (in print)

  • Pinto, M., Silva, C., Thürer, M., and Moniz, S., 2024, Nesting and scheduling optimization of additive manufacturing systems: mapping the territory, Computers & Operations Research, (in print)

  • Thürer, M., Fernandes, N.O., Lödding, H., and Stevenson, M., 2024, Material Flow Control in Make-to-Stock Production Systems: An Assessment of Order Generation, Order Release and Production Authorization by Simulation, Flexible Services & Manufacturing Journal, (in print)

  • Bagni, G., Godinho Filho, M., Finne, M., and Thürer, M., 2024, Design science research in operations management: is there a single type?, Production Planning & Control, (in print)

  • Gruchmann, T., Stadtfeld, G., Ivanov, D., and Thürer, M., 2024, Supply chain resilience as a system quality: Survey-based evidence from multiple industries, International Journal of Physical Distribution & Logistics Management, (in print)

  • Kasper, T.A., Land, M.J., and Thürer, M., 2024, Unique control priorities for parallel machines in high-variety manufacturing, Production Planning & Control, (in print) https://doi.org/10.1080/09537287.2022.2163935

  • Saisridhar, P., Thürer, M., and Avittathur, B., 2024, Assessing Supply Chain Responsiveness, Resilience and Robustness (Triple-R) by Computer Simulation: A Systematic Review of the Literature, International Journal of Production Research, (in print) https://doi.org/10.1080/00207543.2023.2180302

  • Melnyk, S.A., Thürer, M., Blome, C., Schoenherr, T., and Gold, S., 2024, (Re)-discovering Simulation as a Critical Element of Empirical OM/SCM Research: Call for Research, International Journal of Operations & Production Management, (in print) https://doi.org/10.1108/IJOPM-08-2023-0665

  • Callefi, M. H., Ganga, G. M. D., Godinho Filho, M., Ribeiro da Silva, E., Osiro, L., Reis, V., 2024, Illuminating the road ahead: unlocking the potential of ICTs for enhanced data visibility in road transportation, Industrial Management & Data Systems, (in print) https://doi.org/10.1108/IMDS-02-2023-0115

  • Santos, D. S., Primo, R. G. B., de Araújo Lima, A. P. H. G., Schramm, V. B., Rodrigues, Y. V. S., Belderrain, M. C. N., ... & Callefi, M. H. B. M., 2024, Evaluation of the social impacts of small-and medium-sized biorefineries in the Southern Coast Territory of Bahia considering the selection of technologies for bioactives: an MCDA model. Environment, Development and Sustainability, (in print) https://link.springer.com/article/10.1007/s10668-023-04112-0

  • Fernandes, N.O., Guedes, N., Thürer, M., Ferreira, L.P., Ávila, P., 2024, How to Prioritize Replenishment Orders in Demand Driven MRP: A Simulation Study. In: Silva, F.J.G., Ferreira, L.P., Sá, J.C., Pereira, M.T., Pinto, C.M.A. (eds) Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems. FAIM 2023. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-38165-2_12

  • Unger, H., Börner, F., Fischer, D., 2024, Reinforcement Learning for Layout Planning – Automated Pathway Generation for Arbitrary Factory Layouts. In: Silva, F.J.G., Ferreira, L.P., Sá, J.C., Pereira, M.T., Pinto, C.M.A. (eds) Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems. FAIM 2023. Lecture Notes in Mechanical Engineering. Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-031-38165-2_118