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~subject:"Scheduling-Verfahren"
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Search: subject:"Cutting and Packing"
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Scheduling-Verfahren
Theorie
39
Theory
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Cutting and packing
31
Packing problem
29
Packproblem
29
Mathematical programming
24
Mathematische Optimierung
24
Heuristics
21
Heuristik
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Ganzzahlige Optimierung
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Integer programming
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cutting and packing
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Operations Research
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Operations research
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Algorithm
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Algorithmus
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cutting and packing problems
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Normal distribution
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Cutting stock problem
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Inventory model
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Lagerhaltungsmodell
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Lower bounds
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Scheduling problem
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Server consolidation
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Skiving stock problem
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USA
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United States
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column generation
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2D knapsack
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Additive integrality gap
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Arcflow model
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Bin packing
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Bin packing problem
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Block-building
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Constraint programming
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Cutting and Packing
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Cutting and packing problems
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Discrete structures
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Bennell, Julia A.
1
Lai Soon Lee
1
Pitombeira-Neto, Anselmo Ramalho
1
Potts, Chris N.
1
Prata, Bruno de Athayde
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Silva, Everton Fernandes
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Computers & operations research : and their applications to problems of world concern ; an international journal
1
International journal of production economics
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Top : an official journal of the Spanish Society of Statistics and Operations Research
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ECONIS (ZBW)
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A matheuristic algorithm for the one-dimensional cutting stock and scheduling problem with heterogeneous orders
Pitombeira-Neto, Anselmo Ramalho
;
Prata, Bruno de Athayde
- In:
Top : an official journal of the Spanish Society of …
28
(
2020
)
1
,
pp. 178-192
Persistent link: https://www.econbiz.de/10012236986
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2
Exact methods for three-dimensional
cutting
and
packing
: a comparative study concerning single container problems
Silva, Everton Fernandes
;
Toffolo, Túlio Angelo Machado
; …
- In:
Computers & operations research : and their …
109
(
2019
),
pp. 12-27
Persistent link: https://www.econbiz.de/10012065012
Saved in:
3
A genetic algorithm for two-dimensional bin packing with due dates
Bennell, Julia A.
;
Lai Soon Lee
;
Potts, Chris N.
- In:
International journal of production economics
145
(
2013
)
2
,
pp. 547-560
Persistent link: https://www.econbiz.de/10010187897
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