Cutting stock problems with nondeterministic item lengths : a new approach to server consolidation
Year of publication: |
2019
|
---|---|
Authors: | Martinovic, John ; Hähnel, Markus ; Scheithauer, Guntram ; Dargie, Waltenegus ; Fischer, Andreas |
Published in: |
4OR : a quarterly journal of operations research. - Berlin, Heidelberg : Springer, ZDB-ID 2127815-5. - Vol. 17.2019, 2, p. 173-200
|
Subject: | Cutting and packing | Server consolidation | Normal distribution | Nondeterministic item lengths | Integer programming | HAEC | Warteschlangentheorie | Queueing theory | Ganzzahlige Optimierung | USA | United States | Theorie | Theory | Packproblem | Packing problem |
-
An introduction to stochastic bin packing-based server consolidation with conflicts
Martinovic, John, (2022)
-
The meet-in-the-middle principle for cutting and packing problems
Côté, Jean-François, (2018)
-
2DCPackGen : a problem generator for two-dimensional rectangular cutting and packing problems
Silva, Elsa, (2014)
- More ...
-
An introduction to stochastic bin packing-based server consolidation with conflicts
Martinovic, John, (2021)
-
An introduction to stochastic bin packing-based server consolidation with conflicts
Martinovic, John, (2022)
-
Integer linear programming models for the skiving stock problem
Martinovic, John, (2016)
- More ...