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International journal of production research
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ECONIS (ZBW)
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Logistics optimisation of slab pre-marshalling problem in steel industry
Ge, Peixin
;
Meng, Ying
;
Liu, Jiyin
;
Tang, Lixin
;
Zhao, Ren
- In:
International journal of production research
58
(
2020
)
13
,
pp. 4050-4070
Persistent link: https://www.econbiz.de/10012266006
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2
Learning-based multi-objective evolutionary algorithm for batching decision problem
Meng, Ying
;
Li, Tianyang
;
Tang, Lixin
- In:
Computers & operations research : and their …
149
(
2023
),
pp. 1-14
Persistent link: https://www.econbiz.de/10013460779
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3
An improved lagrangean relaxation algorithm for the dynamic batching decision problem
Tang, Lixin
;
Meng, Ying
;
Liu, Jiyin
- In:
International journal of production research
49
(
2011
)
9
,
pp. 2501-2517
Persistent link: https://www.econbiz.de/10008908263
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4
Optimal plate design problem in steel production
Zhao, Shengnan
;
Meng, Ying
;
Su, Lijie
;
Liu, Jiyin
; …
- In:
International journal of production research
61
(
2023
)
5
,
pp. 1575-1590
Persistent link: https://www.econbiz.de/10014227046
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5
A new lower bound for online strip packing
Yu, Guosong
;
Mao, Yanling
;
Xiao, Jiaoliao
- In:
European journal of operational research : EJOR
250
(
2016
)
3
,
pp. 754-759
Persistent link: https://www.econbiz.de/10011445319
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6
Frame trolley dispatching algorithm for the frame bridge based automated container terminal
Jiang, Xin Jia
;
Xu, Yanhua
;
Zhou, Chenhao
;
Chew, Ek Peng
; …
- In:
Transportation science : a journal of the Institute for …
52
(
2018
)
3
,
pp. 722-737
Persistent link: https://www.econbiz.de/10011878915
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7
Enabling attribute revocation for fine-grained access control in blockchain-IoT systems
Yu, Guangsheng
;
Zha, Xuan
;
Wang, Xu
;
Ni, Wei
;
Yu, Kan
; …
- In:
IEEE transactions on engineering management : EM
67
(
2020
)
4
,
pp. 1213-1230
Persistent link: https://www.econbiz.de/10012387941
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8
A policy-based Monte Carlo tree search method for container pre-marshalling
Wang, Ziliang
;
Zhou, Chenhao
;
Che, Ada
;
Gao, Jingkun
- In:
International journal of production research
62
(
2024
)
13
,
pp. 4776-4792
Persistent link: https://www.econbiz.de/10014547396
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