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Data sheet of PhD student
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Personal data
Dávid Gyulai
name Dávid Gyulai
name of institution
doctoral school  
Contact details
phone number +36 1 279-6181
own web page
Supervision
thesis supervisor László Monostori
one supervisor or with co-supervisor individual
degree PhD
starting of doctoral studies 2013
date of final certificate (year,month) 2016/01
year in which degree was obtained 2018
diszertáció Doi/handle link (thesis, statements)
data of the public discussion defense
Employment
2012 - MTA SZTAKI (research institute, not university)
other (not specified) (tudományos segédmunkatárs)
Publications
2018

Manzini M, Unglert J, Gyulai D, Colledani M, Jauregui-Becker J M, Monostori L, Urgo M: An integrated framework for design, management and operation of reconfigurable assembly systems, OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE 78: pp. 69-84.
type of document: Journal paper/Article
number of independent citations: 1
language: English
DOI 
2018

Tsutsumi D, Gyulai D, Kovács A, Tipary B, Ueno Y, Nonaka Y, Monostori L: Towards joint optimization of product design, process planning and production planning in multi-product assembly, CIRP ANNALS-MANUFACTURING TECHNOLOGY 67: (1) pp. x-xx.
type of document: Journal paper/Article
language: English
DOI 
2018

Gyulai D, Pfeiffer A, Nick G, Gallina V, Sihn W, Monostori L: Lead time prediction in a flow-shop environment with analytical and machine learning approaches, IFAC PAPERSONLINE xx: pp. x-xx.
type of document: Journal paper/Article
language: English
2018

Lingitz L, Gallina V, Ansari F, Gyulai D, Pfeiffer A, Sihn W, Monostori L: Lead time prediction using machine learning algorithms: A case study by a semiconductor manufacturer, PROCEDIA CIRP 72: pp. 1051-1056.
type of document: Journal paper/Article
language: English
URL 
2017

Gyulai D, Pfeiffer A, Monostori L: Robust production planning and control for multi-stage systems with flexible final assembly lines, INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 55: (13) pp. 3657-3673.
type of document: Journal paper/Article
number of independent citations: 2
language: English
URL 
2017

Gyulai D, Monostori L: Capacity management of modular assembly systems, JOURNAL OF MANUFACTURING SYSTEMS 43: pp. 88-99.
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL 
2016

Colledani M, Gyulai D, Monostori L, Urgo M, Unglert J, Van Houten F: Design and management of reconfigurable assembly lines in the automotive industry, CIRP ANNALS-MANUFACTURING TECHNOLOGY 65: (1) pp. 441-446.
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL 
2015

Gyulai Dávid, Kádár Botond, Monostori László: Robust production planning and capacity control for flexible assembly lines, IFAC PAPERSONLINE 48: (3) pp. 2312-2317.
type of document: Journal paper/Konferenciaközlemény
number of independent citations: 7
language: English
URL 
2014

Gyulai D, Kádár B, Kovács A, Monostori L: Capacity management for assembly systems with dedicated and reconfigurable resources, CIRP ANNALS-MANUFACTURING TECHNOLOGY 63: (1) pp. 457-460.
type of document: Journal paper/Article
number of independent citations: 17
language: English
URL 
2014

Gyulai Dávid, Kádár Botond, Monostori László: Capacity Planning and Resource Allocation in Assembly Systems Consisting of Dedicated and Reconfigurable Lines, PROCEDIA CIRP 25: pp. 185-191.
type of document: Journal paper/Konferenciaközlemény
number of independent citations: 7
language: English
URL 
Number of independent citations to these publications:38 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
29
number of scientific publications:
29
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
 
number of independent citations to scientific publications and creative works:
65
Research
research area Capacity and production planning methods for assembly systems, Discrete-event simulation, Mathematical modeling, Statistical learning, Robust production planning and control
research field in which current research is conducted mechanical engineering


2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )