Publikációk | COPROLOGS

Nemzeti Kutatási, Fejlesztési és Információs Hivatal - Az NKFI alapból megvalósuló projekt

Bentert M., Bredereck R., Györgyi P., Kaczmarczyk A., Niedermeier R.: A multivariate complexity analysis of the material consumption scheduling problem. Annals of Operations Research 328(2):1387-1408, (2023), Q1

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Kis T., Györgyi P., Tamási T., Békési J.: Joint replenishment meets scheduling, The 23rd Conference of the International Federation of Operational Research Societies (IFORS), July 10-14, 2023, Santiago, Chile

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Györgyi P., Kis T., Tamási T., Békési J.: Joint replenishment meets scheduling. Optimization and Algorithms (OPAL) 5-9 June 2023, Veszprém, Hungary

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Szaller Á.: Trust-based resource sharing mechanisms in manufacturing

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Horváth B., Csáji B. Cs.: Nonparametric simultaneous confidence bands: The case of known input distributions. 23rd European Young Statisticians Meeting (EYSM 2023, virtual mode), Ljubljana, Slovenia, September 11–15, 2023

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Hamdi F.: Novel outlier detection algorithm based on incomplete data handling

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Dobrovoczki P., Kis T.: Disjunctive cuts for modeling R3 → R piecewise linear functions. Optimization and Algorithms (OPAL) 5-9 June 2023, Veszprém, Hungary

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Mesterné Monostori J.: Robustness-oriented analysis, (re)design and management of supply chains. Proceedings of the 18th Conference on Computer Science and Intelligence Systems pp. 791–799.

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Györgyi P., Kis T., Tamási T.: An online joint replenishment problem combined with single machine scheduling. Journal of Combinatorial Optimization 45(5) Paper: 134, 20 p. (2023), Q2

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Szaller Á., Gallina V., Gal B., Gaal A., Fries Ch.: Quantitative benefits of the digital product passport and data sharing in remanufacturing. Procedia CIRP, 120:928-933, (2023)

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