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~subject:"Lieferkette"
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PREEMPTIVE SCHEDULING ON PARAL...
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Lieferkette
Scheduling problem
14
Scheduling-Verfahren
14
Mathematical programming
9
Mathematische Optimierung
9
Theorie
9
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9
Supply chain
5
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Integer programming
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3
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Ganzzahlige Optimierung
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Heuristik
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USA
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United States
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scheduling
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Coal
2
Column generation
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Distributed decision making
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Resource constrained scheduling
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unit execution time tasks
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Singh, Gaurav
5
Krishnamoorthy, Mohan
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Thomas, Anu
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Venkateswaran, Jayendran
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Sier, David
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Baxter, Matthew
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Ernst, Andreas
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Ernst, Andreas T.
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International journal of production research
2
European journal of operational research : EJOR
1
International journal of production economics
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RAIRO / Operations research
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ECONIS (ZBW)
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A mixed integer programming model for long term capacity expansion planning : a case study from The Hunter Valley Coal Chain
Singh, Gaurav
;
Sier, David
;
Ernst, Andreas T.
; …
- In:
European journal of operational research : EJOR
220
(
2012
)
1
,
pp. 210-224
Persistent link: https://www.econbiz.de/10009531541
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2
Rail schedule optimisation in the Hunter Valley Coal Chain
Singh, Gaurav
;
Ernst, Andreas
;
Baxter, Matthew
;
Sier, David
- In:
RAIRO / Operations research
49
(
2015
)
2
,
pp. 413-434
Persistent link: https://www.econbiz.de/10011309402
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3
Coordination in a multiple producers-distributor supply chain and the value of information
Thomas, Anu
;
Krishnamoorthy, Mohan
;
Singh, Gaurav
; …
- In:
International journal of production economics
167
(
2015
),
pp. 63-73
Persistent link: https://www.econbiz.de/10011346602
Saved in:
4
Decentralised decision-making in a multi-party supply chain
Thomas, Anu
;
Krishnamoorthy, Mohan
;
Venkateswaran, Jayendran
- In:
International journal of production research
54
(
2016
)
1/2
,
pp. 405-425
Persistent link: https://www.econbiz.de/10011491464
Saved in:
5
Distributed optimisation method for multi-resource constrained scheduling in coal supply chains
Thomas, Anu
;
Singh, Gaurav
;
Krishnamoorthy, Mohan
; …
- In:
International journal of production research
51
(
2013
)
9
,
pp. 2740-2759
Persistent link: https://www.econbiz.de/10009736387
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