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~isPartOf:"Management science : journal of the Institute for Operations Research and the Management Sciences"
~language:"eng"
~subject:"Mathematical programming"
~type_genre:"Article in journal"
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Mathematical programming
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Sim, Melvyn
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Management science : journal of the Institute for Operations Research and the Management Sciences
European journal of operational research : EJOR
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Operations research letters
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International journal of logistics systems and management
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Socio-economic planning sciences : the international journal of public sector decision-making
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Journal of combinatorial optimization
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Fuzzy optimization and decision making : a journal of modeling and computation under uncertainty
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1
Optimal robust policy for feature-based newsvendor
Zhang, Luhao
;
Yang, Jincheng
;
Gao, Rui
- In:
Management science : journal of the Institute for …
70
(
2024
)
4
,
pp. 2315-2329
Persistent link: https://www.econbiz.de/10014519977
Saved in:
2
Robust combination testing : methods and application to COVID-19 detection
Jain, Sanjay
;
Jónas Oddur Jónasson
;
Pauphilet, Jean
; …
- In:
Management science : journal of the Institute for …
70
(
2024
)
4
,
pp. 2661-2681
Persistent link: https://www.econbiz.de/10014520146
Saved in:
3
Supermodularity in two-stage distributionally robust optimization
Long, Daniel Zhuoyu
;
Qi, Jin
;
Zhang, Aiqi
- In:
Management science : journal of the Institute for …
70
(
2024
)
3
,
pp. 1394-1409
Persistent link: https://www.econbiz.de/10014515030
Saved in:
4
Analytical solution to a partially observable machine maintenance problem with obvious failures
Zhang, Hao
;
Zhang, Weihua
- In:
Management science : journal of the Institute for …
69
(
2023
)
7
,
pp. 3993-4015
Persistent link: https://www.econbiz.de/10014338322
Saved in:
5
Approximation benefits of policy gradient methods with aggregated states
Russo, Daniel
- In:
Management science : journal of the Institute for …
69
(
2023
)
11
,
pp. 6898-6911
Persistent link: https://www.econbiz.de/10014435438
Saved in:
6
An asymptotically tight learning algorithm for mobile-promotion platforms
Feng, Zhichao
;
Dawande, Milind
;
Janakiraman, Ganesh
; …
- In:
Management science : journal of the Institute for …
69
(
2023
)
3
,
pp. 1536-1554
Persistent link: https://www.econbiz.de/10014303887
Saved in:
7
A data-driven approach to multistage stochastic linear optimization
Bertsimas, Dimitris
;
Shtern, Shimrit
;
Sturt, Bradley
- In:
Management science : journal of the Institute for …
69
(
2023
)
1
,
pp. 51-74
Persistent link: https://www.econbiz.de/10014288428
Saved in:
8
The exponomial choice model for assortment optimization : an alternative to the mnl model?
Aouad, Ali
;
Feldman, Jacob
;
Segev, Danny
- In:
Management science : journal of the Institute for …
69
(
2023
)
5
,
pp. 2814-2832
Persistent link: https://www.econbiz.de/10014305442
Saved in:
9
Finding the nondominated set and efficient integer vectors for a class of three-objective mixed-integer linear programs
Ceyhan, Gökhan
;
Köksalan, Murat
;
Lokman, Banu
- In:
Management science : journal of the Institute for …
69
(
2023
)
10
,
pp. 6001-6020
Persistent link: https://www.econbiz.de/10014393043
Saved in:
10
High-low promotion policies for peak-end demand models
Cohen-Hillel, Tamar
;
Panchamgam, Kiran
;
Perakis, Georgia
- In:
Management science : journal of the Institute for …
69
(
2023
)
4
,
pp. 2016-2050
Persistent link: https://www.econbiz.de/10014305376
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