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Frachtschifffahrt
Theorie
151
Theory
151
China
108
Forecasting model
62
Prognoseverfahren
62
Lieferkette
61
Supply chain
61
Welt
45
World
45
Mathematical programming
39
Mathematische Optimierung
39
Container shipping
31
Containerschifffahrt
31
Liner shipping
29
Linienschifffahrt
29
Scheduling problem
28
Scheduling-Verfahren
28
Game theory
27
Spieltheorie
27
Estimation
25
Oil price
25
Risikomanagement
25
Risk management
25
Schätzung
25
Ölpreis
25
Cargo shipping
24
Tourenplanung
24
Vehicle routing problem
24
Börsenkurs
23
Consumer behaviour
23
Konsumentenverhalten
23
Share price
23
Greenhouse gas emissions
22
Treibhausgas-Emissionen
22
Time series analysis
21
Zeitreihenanalyse
21
Portfolio selection
20
Portfolio-Management
20
E-commerce
19
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24
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Wang, Shuaian
24
Meng, Qiang
7
Yan, Ran
4
Zhen, Lu
4
Liu, Zhiyuan
3
Sun, Zhuo
2
Zhuge, Dan
2
Andersson, Henrik
1
Du, Yuquan
1
Fagerholt, Kjetil
1
Guo, Yu
1
Hu, Yi
1
Laporte, Gilbert
1
Li, Feng
1
Liu, Weiwei
1
Peng, Chuansheng
1
Psaraftis, Harilaos N.
1
Qu, Xiaobo
1
Shen, Tao
1
Song, Dongping
1
Thun, Kristian
1
Wang, Hua
1
Wang, Kai
1
Wang, Yadong
1
Weng, Jinxian
1
Wu, Lingxiao
1
Yang, Dong
1
Yu, Shucheng
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Transportation research / E : an international journal
10
European journal of operational research : EJOR
3
Maritime policy and management : MPM
3
Computers & operations research : and their applications to problems of world concern ; an international journal
2
International journal of production economics
2
International journal of shipping and transport logistics : IJSTL
1
Journal of shipping and trade
1
Maritime policy & management
1
Transportation science : a journal of the Institute for Operations Research and the Management Sciences
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ECONIS (ZBW)
24
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Ship routing and scheduling problem for steel plants cluster alongside the Yangtze River
Li, Feng
;
Yang, Dong
;
Wang, Shuaian
;
Weng, Jinxian
- In:
Transportation research / E : an international journal
122
(
2019
),
pp. 198-210
Persistent link: https://www.econbiz.de/10011995061
Saved in:
2
Robust bunker management for liner shipping networks
Wang, Shuaian
;
Meng, Qiang
- In:
European journal of operational research : EJOR
243
(
2015
)
3
,
pp. 789-797
Persistent link: https://www.econbiz.de/10010513880
Saved in:
3
The shore power deployment problem for maritime transportation
Wu, Lingxiao
;
Wang, Shuaian
- In:
Transportation research / E : an international journal
135
(
2020
),
pp. 1-12
Persistent link: https://www.econbiz.de/10012233592
Saved in:
4
Maritime transportation : innovative models and algorithms
Fagerholt, Kjetil
(
ed.
);
Song, Dongping
(
ed.
); …
-
2019
Persistent link: https://www.econbiz.de/10012111698
Saved in:
5
Dynamic programming for optimal ship refueling decision
Zhen, Lu
;
Wang, Shuaian
;
Zhuge, Dan
- In:
Transportation research / E : an international journal
100
(
2017
),
pp. 63-74
Persistent link: https://www.econbiz.de/10011689981
Saved in:
6
Analysis of three container routing strategies
Zhen, Lu
;
Wang, Shuaian
;
Zhuge, Dan
- In:
International journal of production economics
193
(
2017
),
pp. 259-271
Persistent link: https://www.econbiz.de/10011758440
Saved in:
7
Optimal reefer slot conversion for container freight transportation
Wang, Kai
;
Liu, Weiwei
;
Wang, Shuaian
;
Liu, Zhiyuan
- In:
Maritime policy and management : MPM
44
(
2017
)
5/6
,
pp. 727-743
Persistent link: https://www.econbiz.de/10011817759
Saved in:
8
Models on ship scheduling in transshipment hubs with considering bunker cost
Zhen, Lu
;
Shen, Tao
;
Wang, Shuaian
;
Yu, Shucheng
- In:
International journal of production economics
173
(
2016
),
pp. 111-121
Persistent link: https://www.econbiz.de/10011444042
Saved in:
9
Simultaneous optimization of schedule coordination and cargo allocation for liner container shipping networks
Wang, Hua
;
Wang, Shuaian
;
Meng, Qiang
- In:
Transportation research / E : an international journal
70
(
2014
),
pp. 261-273
Persistent link: https://www.econbiz.de/10010433353
Saved in:
10
A novel hybrid-link-based container routing model
Wang, Shuaian
- In:
Transportation research / E : an international journal
61
(
2014
),
pp. 165-175
Persistent link: https://www.econbiz.de/10010336386
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