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~language:"eng"
~person:"Hopman, Daniel"
~person:"Zhang, Dan"
~subject:"dynamic programming"
~subject:"transportation"
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dynamic programming
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Hopman, Daniel
Zhang, Dan
Topaloğlu, Hüseyin
6
Brown, David B.
5
Belzil, Christian
4
Chen, Youhua
4
Chen, Zhi-long
4
Cheng, T. C. E.
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ECONIS (ZBW)
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Technical note - product-based approximate linear programs for network revenue management
Zhang, Rui
;
Samiedaluie, Saied
;
Zhang, Dan
- In:
Operations research
70
(
2022
)
5
,
pp. 2837-2850
Persistent link: https://www.econbiz.de/10014307129
Saved in:
2
Single-dimensional leg-level dynamic programming with booking-time dependent cancellation probabilities for revenue management
Hopman, Daniel
;
Koole, Ger M.
;
Mei, R. D. van der
- In:
International journal of revenue management : IJRM
13
(
2022
)
1/2
,
pp. 99-123
Persistent link: https://www.econbiz.de/10014227853
Saved in:
3
A model of customer reward programs with finite expiration terms
Sun, Yacheng
;
Zhang, Dan
- In:
Management science : journal of the Institute for …
65
(
2019
)
8
,
pp. 3889-3903
Persistent link: https://www.econbiz.de/10012062834
Saved in:
4
Single-leg revenue management with downsell and delayed decision making
Hopman, Daniel
;
Koole, Ger M.
;
Mei, R. D. van der
- In:
Journal of revenue and pricing management
16
(
2017
)
6
,
pp. 594-606
Persistent link: https://www.econbiz.de/10011854205
Saved in:
5
Reductions of approximate linear programs for network revenue management
Vossen, Thomas W. M.
;
Zhang, Dan
- In:
Operations research
63
(
2015
)
6
,
pp. 1352-1371
Persistent link: https://www.econbiz.de/10011422538
Saved in:
6
A dynamic disaggregation approach to approximate linear programs for network revenue management
Vossen, Thomas W. M.
;
Zhang, Dan
- In:
Production and operations management : an international …
24
(
2015
)
3
,
pp. 469-487
Persistent link: https://www.econbiz.de/10010528589
Saved in:
7
Dynamic inventory-pricing control under backorder : demand estimation and policy optimization
Feng, Qi
;
Luo, Sirong
;
Zhang, Dan
- In:
Manufacturing & service operations management : M & SOM
16
(
2014
)
1
,
pp. 149-160
Persistent link: https://www.econbiz.de/10010339099
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