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Wang, Shuaian
Laporte, Gilbert
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Naval Research Logistics (NRL)
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Computers & operations research : and their applications to problems of world concern ; an international journal
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Production and operations management : the flagship research journal of the Production and Operations Management Society
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Schedule design for liner services under vessel speed reduction incentive programs
Zhuge, Dan
;
Wang, Shuaian
;
Zhen, Lu
;
Laporte, Gilbert
- In:
Naval Research Logistics (NRL)
67
(
2020
)
1
,
pp. 45-62
Persistent link: https://www.econbiz.de/10012189725
Saved in:
2
Clustered coverage orienteering problem of unmanned surface vehicles for water sampling
Zhang, Wei
;
Wang, Kai
;
Wang, Shuaian
;
Laporte, Gilbert
- In:
Naval Research Logistics (NRL)
67
(
2020
)
5
,
pp. 353-367
Persistent link: https://www.econbiz.de/10012273885
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3
Subsidy design in a vessel speed reduction incentive program under government policies
Zhuge, Dan
;
Wang, Shuaian
;
Zhen, Lu
;
Laporte, Gilbert
- In:
Naval Research Logistics (NRL)
68
(
2020
)
3
,
pp. 344-358
Persistent link: https://www.econbiz.de/10012407562
Saved in:
4
Optimal subsidy design for shore power usage in ship berthing operations
Wang, Shuaian
;
Qi, Jingwen
;
Laporte, Gilbert
- In:
Naval Research Logistics (NRL)
69
(
2021
)
4
,
pp. 566-580
Persistent link: https://www.econbiz.de/10012808658
Saved in:
5
Column generation for the integrated berth allocation, quay crane assignment, and yard assignment problem
Wang, Kai
;
Zhen, Lu
;
Wang, Shuaian
;
Laporte, Gilbert
- In:
Transportation science : a journal of the Institute for …
52
(
2018
)
4
,
pp. 812-834
Persistent link: https://www.econbiz.de/10011921111
Saved in:
6
Integrated planning of ship deployment, service schedule and container routing
Zhen, Lu
;
Wang, Shuaian
;
Laporte, Gilbert
;
Hu, Yi
- In:
Computers & operations research : and their …
104
(
2019
),
pp. 304-318
Persistent link: https://www.econbiz.de/10011991233
Saved in:
7
How to operate ship fleets under uncertainty
Wu, Yiwei
;
Wang, Shuaian
;
Zhen, Lu
;
Laporte, Gilbert
; …
- In:
Production and operations management : the flagship …
32
(
2023
)
10
,
pp. 3043-3061
Persistent link: https://www.econbiz.de/10014430654
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