In: Proceedings of the 14th European Conference on Management, Leadership and Governance, ECMLG 2018 Academic Conferences and Publishing International Limited, Reading, pp. 161-170.

Lead time prediction in a flow-shop environment with analytical and machine learning approaches

Szerzők

Gyulai, Dávid

Pfeiffer, András

Nick, Gábor András

Gallina, V

Sihn, W

Monostori, László

Megjelenés

2018

IFAC PAPERSONLINE, 51 (11)., pp. 1029-1034. ISSN 2405-8963

Lead time prediction using machine learning algorithms: A case study by a semiconductor manufacturer

Szerzők

Lingitz, L

Gallina, V

Ansari, F

Gyulai, Dávid

Pfeiffer, András

Monostori, László

Megjelenés

2018

PROCEDIA CIRP, 72, pp. 1051-1056.

Production Log Data Analysis for Reject Rate Prediction and Workload Estimation

Szerzők

Megjelenés

2018

In: 2018 Winter Simulation Conference, WSC 2018 IEEE, Piscataway (NJ), pp. 3364-3374.

Towards joint optimization of product design, process planning and production planning in multi-product assembly

Szerzők

Tsutsumi, D

Ueno, Y

Megjelenés

2018

CIRP ANNALS-MANUFACTURING TECHNOLOGY, 67 (1)., pp. 441-446. ISSN 0007-8506

Artificial neural network based tool condition monitoring in micro mechanical peck drilling using thrust force signals

Szerzők

Patra, K

Jha, AK

Szalay, Tibor

Ranjan, J

Monostori, László

Megjelenés

2017

PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 48, pp. 279-291. ISSN 0141-6359

Capacity management of modular assembly systems

Szerzők

Gyulai, Dávid

Monostori, László

Megjelenés

2017

JOURNAL OF MANUFACTURING SYSTEMS, 43, pp. 88-99. ISSN 0278-6125

Cyber-physical Manufacturing in the Light of Professor Kanji Ueda's Legacy

Szerzők

Váncza, József

Monostori, László

Megjelenés

2017

PROCEDIA CIRP, 63, pp. 631-638.