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~subject:"Lieferkette"
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Lieferkette
Theorie
27
Theory
27
Mathematical programming
24
Mathematische Optimierung
24
Heuristics
20
Heuristik
19
Packing problem
18
Packproblem
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Scheduling-Verfahren
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Ganzzahlige Optimierung
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Integer programming
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Container terminal
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Containerterminal
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Algorithmus
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Container transport
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Containerverkehr
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Operations Research
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Logistik
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Container shipping
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Containerschifffahrt
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GRASP
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Bin packing
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Integer models
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Kran
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Logistics provider
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Logistikdienstleister
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Supply chain
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Berth allocation
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Branch and Bound
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Branch-and-Bound
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Crane time
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Cutting stock problem
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Alvarez-Valdes, Ramon
4
Parreño-Torres, Consuelo
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Ruiz, Rubén
2
Tierney, Kevin
2
Alonso, M. T.
1
Carravilla, Maria Antónia
1
Gimenez-Palacios, I.
1
Giménez-Palacios, Iván
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Oliveira, Beatriz Brito
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Oliveira, José Fernando
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Paquay, Célia
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Parreño, F.
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Transportation research / E : an international journal
2
European journal of operational research : EJOR
1
Top : an official journal of the Spanish Society of Statistics and Operations Research
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ECONIS (ZBW)
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First-mile logistics parcel pickup : vehicle routing with packing constraints under disruption
Giménez-Palacios, Iván
;
Parreño, Francisco
; …
- In:
Transportation research / E : an international journal
164
(
2022
),
pp. 1-22
Persistent link: https://www.econbiz.de/10013366777
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2
Logistic constraints in container loading problems : the impact of complete shipment conditions
Gimenez-Palacios, I.
;
Alonso, M. T.
;
Alvarez-Valdes, Ramon
- In:
Top : an official journal of the Spanish Society of …
29
(
2021
)
1
,
pp. 177-203
Persistent link: https://www.econbiz.de/10012498994
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3
A branch and bound approach for large pre-marshalling problems
Tanaka, Shunji
;
Tierney, Kevin
;
Parreño-Torres, Consuelo
; …
- In:
European journal of operational research : EJOR
278
(
2019
)
1
,
pp. 211-225
Persistent link: https://www.econbiz.de/10012102606
Saved in:
4
Minimizing crane times in pre-marshalling problems
Parreño-Torres, Consuelo
;
Alvarez-Valdes, Ramon
;
Ruiz, …
- In:
Transportation research / E : an international journal
137
(
2020
),
pp. 1-20
Persistent link: https://www.econbiz.de/10012236672
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