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personal data approved: 2020. IX. 23.
Personal data
Zsuzsanna Hauck
name Zsuzsanna Hauck
name of institution
doctoral school
PTE Doctoral School of Business Administration (Supervisor)
Academic title
scientific degree, title Ph.D.
year degree was obtained 2015
discipline to which degree belongs business and management
institution granting the degree University of Pécs
Employment
2011 - University of Pécs
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now 2
number of students who fulfilled course requirements 0
students who obtained their degrees:
present PhD students:
Dániel Hegedűs (PhD) (2024/08)  DSBA
Viktória Varga-Juhász (PhD) (2024/08)  DSBA
Muhammad Rahim Ejaz (PhD) (2022/08)  DSBA
  Thesis topic proposals
Research
research area Operations Management
research field in which current research is conducted business and management
Publications
2020

Hauck Zsuzsanna, Rabta Boualem, Reiner Gerald: Analysis of screening decisions in inventory models with imperfect quality items, INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 1: (1) pp. 1-16.
type of document: Journal paper/Article
language: English
URL 
2020

Hauck Zsuzsanna, Boualem Rabta, Gerald Reiner: Joint quality and pricing decisions in inventory models with defective items, In: s.n (szerk.) Proceedings of the 21st International Working Seminar on Production Economics, Innsbruck University (2020) -
type of document: Conference paper/Előadás vagy poszter cikke
language: English
2019

Szabó Balázs, Hauck Zsuzsanna: Döntéstámogató módszerek a beszállító-választás optimalizálásához, SZIGMA 50: (4) pp. 241-261.
type of document: Journal paper/Article
language: Hungarian
URL 
2019

Hauck Zsuzsanna, Rabta Boualem, Reiner Gerald: Optimizing the speed of screening in an EOQ model with speed-dependent defect detection rate in a nonlinear form, In: 2019 International Conference on Industrial Engineering and Systems Management (IESM), (2019) 8948083
type of document: Part of book/Proceedings Paper
language: English
URL 
2019

Vasvári Tamás, Danka Sándor, Hauck Zsuzsanna: Termelés és innováció – tanulságok a hazai iparpolitika számára, KÖZGAZDASÁGI SZEMLE 66: (10) pp. 1031-1055.
type of document: Journal paper/Article
number of independent citations: 1
language: Hungarian
URL 
2017

Hauck Zsuzsanna: A készletgazdálkodási modellek irányzatainak rendszerező áttekintése, SZIGMA 48: (3-4) pp. 69-93.
type of document: Journal paper/Article
language: Hungarian
URL 
2017

Vörös József, Rappai Gábor, Hauck Zsuzsanna: Analyzing the impact of process improvement on lot sizes in JIT environment when capacity utilization follows Beta distribution, In: Akio, Matsumoto (szerk.) Optimization and Dynamics with Their Applications, Springer Verlag (2017) pp. 31-60.
type of document: Part of book/Könyvfejezet (to be translated)
language: English
URL 
2015

Hauck Zsuzsanna, Vörös József: Lot sizing in case of defective items with investments to increase the speed of quality control, OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE 52: pp. 180-189.
type of document: Journal paper/Article
number of independent citations: 21
language: English
URL 
2015

Hauck Zsuzsanna: Minőség és minőség-ellenőrzés készletgazdálkodási modellekben, Pécsi Tudományegyetem
type of document:
number of independent citations: 1
language: Hungarian
2014

Hauck Zsuzsanna: EPQ modellek változtatható minőség-ellenőrzési sebesség esetén, SZIGMA 45: (3-4.) pp. 151-176.
type of document: Journal paper/Article
language: Hungarian
URL 
Number of independent citations to these publications:23 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
52
number of scientific publications:
43
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
number of independent citations to scientific publications and creative works:
34

 
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. )