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~accessRights:"free"
~isPartOf:"Annals of operations research"
~isPartOf:"International journal of production economics"
~source:"econis"
~subject:"Demand"
~subject:"Lagerhaltungsmodell"
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Annals of operations research
International journal of production economics
Journal of industrial engineering and management : JIEM
39
Econometric Institute research papers
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Journal of industrial engineering international
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LogForum : elektroniczne czasopismo naukowe z dziedziny logistyki
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Operations research perspectives
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International transactions in operational research : a journal of the International Federation of Operational Research Societies
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Production and operations management : the flagship research journal of the Production and Operations Management Society
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Faculty research papers / The Fuqua School of Business, Duke University
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International journal of production research
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Les cahiers du GERAD
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Cogent business & management
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European journal of operational research : EJOR
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ERIM Report Series Reference
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Central European journal of operations research
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Economic production quantity for a decaying item with stochastic demand and positive lead time
Castellano, Davide
;
Glock, Christoph H.
- In:
International journal of production economics
267
(
2024
),
pp. 1-14
Persistent link: https://www.econbiz.de/10014460501
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2
How good must failure predictions be to make local spare parts stock superfluous?
Dursun, İpek
;
Akcay, Alp
;
Houtum, Geert-Jan van
- In:
International journal of production economics
267
(
2024
),
pp. 1-13
Persistent link: https://www.econbiz.de/10014460517
Saved in:
3
Omni-channel inventory management of perishable products under transshipment and substitution
Silbermayr, Lena
;
Waitz, Martin
- In:
International journal of production economics
267
(
2024
),
pp. 1-13
Persistent link: https://www.econbiz.de/10014460531
Saved in:
4
Deep reinforcement learning for one-warehouse multi-retailer inventory management
Kaynov, Illya
;
Van Knippenberg, Marijn
;
Menkovski, Vlado
; …
- In:
International journal of production economics
267
(
2024
),
pp. 1-13
Persistent link: https://www.econbiz.de/10014460532
Saved in:
5
Combining deep reinforcement learning and multi-stage stochastic programming to address the supply chain inventory management problem
Stranieri, Francesco
;
Fadda, Edoardo
;
Stella, Fabio Antonio
- In:
International journal of production economics
268
(
2024
),
pp. 13
Persistent link: https://www.econbiz.de/10014460541
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