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Crew scheduling
Theorie
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Theory
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Mathematical programming
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Mathematische Optimierung
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Scheduling problem
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Scheduling-Verfahren
12
Tourenplanung
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Air transport
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Decomposition method
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Luftverkehr
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Airline
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Fluggesellschaft
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Ganzzahlige Optimierung
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Integer programming
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Linienverkehr
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Personaleinsatzplanung
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Scheduled transport
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Aircraft
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Luftfahrzeug
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reformulation-linearization technique (RLT)
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Column generation
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Decision
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Dynamic programming
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Entscheidung
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Fahrzeugflotte
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Heuristics
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Heuristik
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Mixed-integer programming
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Stochastic process
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Stochastischer Prozess
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USA
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Vehicle fleet
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mixed-integer programming
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Sherali, Hanif D.
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Haouari, Mohamed
3
Bae, Ki-hwan
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Mansour, Farah Zeghal
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Shao, Shengzhi
1
Subramanian, Shivaram
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INFORMS journal on computing : JOC
2
Transportation science : a journal of the Institute for Operations Research and the Management Sciences
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ECONIS (ZBW)
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An effective deflected subgradient optimization scheme for implementing column generation for large-scale airline crew scheduling problems
Subramanian, Shivaram
;
Sherali, Hanif D.
- In:
INFORMS journal on computing : JOC
20
(
2008
)
4
,
pp. 565-578
Persistent link: https://www.econbiz.de/10003772130
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2
Integrated airline schedule design and fleet assignment : polyhedral analysis and Benders' decomposition approach
Sherali, Hanif D.
;
Bae, Ki-hwan
;
Haouari, Mohamed
- In:
INFORMS journal on computing : JOC
22
(
2010
)
4
,
pp. 500-513
Persistent link: https://www.econbiz.de/10008749334
Saved in:
3
A novel model and decomposition approach for the integrated airline fleet assignment, aircraft routing, and crew pairing problem
Shao, Shengzhi
;
Sherali, Hanif D.
;
Haouari, Mohamed
- In:
Transportation science : a journal of the Institute for …
51
(
2017
)
1
,
pp. 233-249
Persistent link: https://www.econbiz.de/10011655246
Saved in:
4
A new compact formulation for the daily crew pairing problem
Haouari, Mohamed
;
Mansour, Farah Zeghal
;
Sherali, Hanif D.
- In:
Transportation science : a journal of the Institute for …
53
(
2019
)
3
,
pp. 811-828
Persistent link: https://www.econbiz.de/10012060371
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