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person:"Armbruster, Dieter"
~person:"Fernandez-Viagas, Victor"
~person:"Pei, Jun"
~type_genre:"Article in journal"
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20
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Armbruster, Dieter
Fernandez-Viagas, Victor
Pei, Jun
Cheng, T. C. E.
41
Mosheiov, Gur
34
Shabtay, Dvir
30
Framinan, Jose M.
27
Yuan, Jinjiang
25
Chu, Chengbin
19
Ruiz, Rubén
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Gupta, Jatinder N.
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Mor, Baruch
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Zandieh, M.
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Lee, Kangbok
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Oron, Daniel
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Strusevič, Vitalij Aleksandrovič
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Yin, Yunqiang
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Liu, Ming
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Boudhar, Mourad
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Fatemi Ghomi, S. M. T.
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Leung, Joseph Y-T.
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Salmasi, Nasser
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Chen, Huaping
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Gerstl, Enrique
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Steiner, George
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9
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Lu, Lingfa
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Pan, Quan Ke
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Computers & operations research : and their applications to problems of world concern ; an international journal
9
European journal of operational research : EJOR
4
International journal of production research
4
Fuzzy optimization and decision making : a journal of modeling and computation under uncertainty
1
Journal of the Operational Research Society
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Omega : the international journal of management science
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1
A concise guide to scheduling with learning and deteriorating effects
Pei, Jun
;
Zhou, Ya
;
Yan, Ping
;
Pardalos, Panos M.
- In:
International journal of production research
61
(
2023
)
6
,
pp. 2010-2031
Persistent link: https://www.econbiz.de/10014230547
Saved in:
2
Assembly flowshop scheduling problem : speed-up procedure and computational evaluation
Fernandez-Viagas, Victor
;
Talens, Carla
;
Framinan, Jose M.
- In:
European journal of operational research : EJOR
299
(
2022
)
3
,
pp. 869-882
Persistent link: https://www.econbiz.de/10013207181
Saved in:
3
Matheuristics for the flowshop scheduling problem with controllable processing times and limited resource consumption to minimize total tardiness
Prata, Bruno de Athayde
;
Fernandez-Viagas, Victor
; …
- In:
Computers & operations research : and their …
145
(
2022
),
pp. 1-10
Persistent link: https://www.econbiz.de/10013345662
Saved in:
4
Generalised accelerations for insertion-based heuristics in permutation flowshop scheduling
Fernandez-Viagas, Victor
;
Molina-Pariente, Jose M.
; …
- In:
European journal of operational research : EJOR
282
(
2020
)
3
,
pp. 858-872
Persistent link: https://www.econbiz.de/10012161805
Saved in:
5
A robust optimization approach for integrated steel production and batch delivery scheduling with uncertain rolling times and deterioration effect
Kong, Min
;
Pei, Jun
;
Xu, Jin
;
Liu, Xinbao
;
Yu, Xiaoyu
; …
- In:
International journal of production research
58
(
2020
)
17
,
pp. 5132-5154
Persistent link: https://www.econbiz.de/10012266146
Saved in:
6
Robust parallel-batching scheduling with fuzzy deteriorating processing time and variable delivery time in smart manufacturing
Lu, Shaojun
;
Pei, Jun
;
Liu, Xinbao
;
Pardalos, Panos M.
- In:
Fuzzy optimization and decision making : a journal of …
19
(
2020
)
3
,
pp. 333-357
Persistent link: https://www.econbiz.de/10012289721
Saved in:
7
Efficiency of the solution representations for the hybrid flow shop scheduling problem with makespan objective
Fernandez-Viagas, Victor
;
Perez-Gonzalez, Paz
; …
- In:
Computers & operations research : and their …
109
(
2019
),
pp. 77-88
Persistent link: https://www.econbiz.de/10012065019
Saved in:
8
A best-of-breed iterated greedy for the permutation flowshop scheduling problem with makespan objective
Fernandez-Viagas, Victor
;
Framinan, Jose M.
- In:
Computers & operations research : and their …
112
(
2019
),
pp. 1-12
Persistent link: https://www.econbiz.de/10012109229
Saved in:
9
Scheduling step-deteriorating jobs on bounded parallel-batching machines to maximise the total net revenue
Pei, Jun
;
Wang, Xingming
;
Fan, Wenjuan
;
Pardalos, Panos M.
- In:
Journal of the Operational Research Society
70
(
2019
)
10
,
pp. 1830-1847
Persistent link: https://www.econbiz.de/10012214800
Saved in:
10
A hybrid BA-VNS algorithm for coordinated serial-batching scheduling with deteriorating jobs, financial budget, and resource constraint in multiple manufacturers
Pei, Jun
;
Liu, Xinbao
;
Fan, Wenjuan
;
Pardalos, Panos M.
; …
- In:
Omega : the international journal of management science
82
(
2018
),
pp. 55-69
Persistent link: https://www.econbiz.de/10011937763
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