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~isPartOf:"International journal of production research"
~person:"Minner, Stefan"
~subject:"Stochastischer Prozess"
~subject:"optimisation"
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Stochastischer Prozess
optimisation
Mathematical programming
4
Mathematische Optimierung
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Theorie
3
Theory
3
Assembly-line production
2
Fließfertigung
2
Production control
2
Production planning
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Produktionsplanung
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Capacitated lot-sizing problem
1
Inventory model
1
Joint assembly line balancing and feeding problem
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Lagerhaltungsmodell
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Line Feeding Problem
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Losgröße
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Lot size
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Machine Learning
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Part Feeding
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Scheduling problem
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Scheduling-Verfahren
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Stochastic process
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adaptive large neighbourhood search
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classification tree
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dynamic safety stocks
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lotsizing and scheduling
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mixed integer linear programming
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mixed-integer linear programming
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multi-manned assembly line
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part feeding problem
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production planning
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random demand
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rolling horizon planning
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sequence-dependent changeovers
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service level constraints
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stochastic demand
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Minner, Stefan
Tiwari, Manoj Kumar
6
Chu, Chengbin
4
Chu, Feng
3
Liu, Ming
3
Xie, Xiaolan
3
Aouam, Tarik
2
Benyoucef, Lyes
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Dolgui, Alexandre
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Dutta, Goutam
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Fahimnia, Behnam
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Geng, Na
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Aghezzaf, El-Houssaine
1
Ahmed, Ramin
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Ahn, Suck-kyo
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Ait-Kadi, Daoud
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Alborzi, F.
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Aldanondo, Michel
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Alemany, M. M. E.
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Ali Derakhshan Asl
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International journal of production research
European journal of operational research : EJOR
2
Transportation science : a journal of the Institute for Operations Research and the Management Sciences
2
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ECONIS (ZBW)
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A supervised machine learning approach for the optimisation of the assembly line feeding mode selection
Zangaro, Francesco
;
Minner, Stefan
;
Battini, Daria
- In:
International journal of production research
59
(
2021
)
16
,
pp. 4881-4902
Persistent link: https://www.econbiz.de/10012625739
Saved in:
2
Planning approaches for stochastic capacitated lot-sizing with service level constraints
Tavaghof Gigloo, Dariush
;
Minner, Stefan
- In:
International journal of production research
59
(
2021
)
17
,
pp. 5087-5107
Persistent link: https://www.econbiz.de/10012625792
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