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~isPartOf:"Berichte aus der Betriebswirtschaft"
~isPartOf:"International journal of production research"
~person:"Geng, Na"
~person:"Ivanov, Dmitry"
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Scheduling problem
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Geng, Na
Ivanov, Dmitry
Thürer, Matthias
24
Stevenson, Mark A.
22
Chu, Chengbin
21
Dolgui, Alexandre
20
Liu, Ming
18
Cheng, T. C. E.
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11
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9
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9
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8
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7
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7
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6
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6
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Berichte aus der Betriebswirtschaft
International journal of production research
Computers & operations research : and their applications to problems of world concern ; an international journal
2
European journal of operational research : EJOR
2
International series in operations research & management science
2
Dynamics and sustainability in international logistics and supply chain management : proceedings of the 6th German-Russian Logistics and SCM Workshop DR-LOG 2011 in Bremen ; [11. - 14. Mai 2011]
1
INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences
1
International journal of production economics
1
Journal of scheduling
1
OR spectrum : quantitative approaches in management
1
Omega : the international journal of management science
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Springer eBook Collection
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ECONIS (ZBW)
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1
Production and operations management for intelligent manufacturing : a systematic literature review
Zhou, Liping
;
Jiang, Zhibin
;
Geng, Na
;
Niu, Yimeng
; …
- In:
International journal of production research
60
(
2022
)
2
,
pp. 808-846
Persistent link: https://www.econbiz.de/10012873218
Saved in:
2
Appointment window scheduling with wait-dependent abandonment for elective inpatient admission
Lu, Yuwei
;
Jiang, Zhibin
;
Geng, Na
;
Jiang, Shan
;
Xie, …
- In:
International journal of production research
60
(
2022
)
19
,
pp. 5977-5993
Persistent link: https://www.econbiz.de/10013501004
Saved in:
3
A stochastic approximation approach for managing appointments in the presence of unpunctual patients, multiple servers and no-shows
Pan, Xingwei
;
Geng, Na
;
Xie, Xiaolan
- In:
International journal of production research
59
(
2021
)
10
,
pp. 2996-3016
Persistent link: https://www.econbiz.de/10012516530
Saved in:
4
Real-time scheduling of semi-urgent patients under waiting time targets
Wen, Jing
;
Geng, Na
;
Xie, Xiaolan
- In:
International journal of production research
58
(
2020
)
4
,
pp. 1127-1143
Persistent link: https://www.econbiz.de/10012194046
Saved in:
5
Scheduling in production, supply chain and Industry 4.0 systems by optimal control : fundamentals, state-of-the-art and applications
Dolgui, Alexandre
;
Ivanov, Dmitry
;
Sethi, Suresh P.
; …
- In:
International journal of production research
57
(
2019
)
2
,
pp. 411-432
Persistent link: https://www.econbiz.de/10012183679
Saved in:
6
Addressing healthcare operational deficiencies using stochastic and dynamic programming
Geng, Na
;
Xie, Xiaolan
;
Zhang, Zheng
- In:
International journal of production research
57
(
2019
)
14
,
pp. 4371-4390
Persistent link: https://www.econbiz.de/10012193445
Saved in:
7
Scheduling of recovery actions in the supply chain with resilience analysis considerations
Ivanov, Dmitry
;
Dolgui, Alexandre
;
Sokolov, Boris
- In:
International journal of production research
56
(
2018
)
19
,
pp. 6473-6490
Persistent link: https://www.econbiz.de/10011978882
Saved in:
8
Optimal patient assignment for W queueing network in a diagnostic facility setting
Geng, Na
;
Chen, Letian
;
Liu, Ran
;
Zhu, Yanhong
- In:
International journal of production research
55
(
2017
)
19/20
,
pp. 5609-5631
Persistent link: https://www.econbiz.de/10011724143
Saved in:
9
Schedule robustness analysis with the help of attainable sets in continuous flow problem under capacity disruptions
Ivanov, Dmitry
;
Dolgui, Alexandre
;
Sokolov, Boris
; …
- In:
International journal of production research
54
(
2016
)
11/12
,
pp. 3397-3413
Persistent link: https://www.econbiz.de/10011497244
Saved in:
10
A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0
Ivanov, Dmitry
;
Dolgui, Alexandre
;
Sokolov, Boris
; …
- In:
International journal of production research
54
(
2016
)
1/2
,
pp. 386-402
Persistent link: https://www.econbiz.de/10011491440
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