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~person:"Claussen, Peter"
~person:"Tayal, Akash"
~subject:"Mathematical programming"
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Mathematical programming
Fabrikplanung
6
Facility layout
5
Mathematische Optimierung
3
Theorie
3
Theory
3
Automotive industry
2
Kfz-Industrie
2
Organisatorischer Wandel
2
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2
Systemtheorie
2
Chaotic simulated annealing
1
DEA
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Data envelopment analysis
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Data-Envelopment-Analyse
1
Demand based disaster
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Disaster relief operations
1
FLP
1
Heuristics
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Heuristik
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Humanitarian aid
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Humanitäre Hilfe
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Multi objective stochastic dynamic facility layout problem (MO-SDFLP)
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Multi-criteria analysis
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Nachhaltige Entwicklung
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Simulated annealing
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Sustainability
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Sustainable development
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TOPSIS
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USA
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United States
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data envelopment analysis
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facility layout problem
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multi objective facility layout problem
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Claussen, Peter
Tayal, Akash
Anjos, Miguel F.
5
Kulturel-Konak, Sadan
5
Singh, Surya Prakash
5
Konak, Abdullah
3
Arnaout, Jean-Paul
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Dahlbeck, Mirko
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Date, Ketan
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Drezner, Zvi
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Fischer, Anja
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Gue, Kevin R.
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Klausnitzer, Armin
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Xiao, Yiyong
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Accorsi, Riccardo
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Ahmadi-Javid, Amir
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Al-Araidah, Omar
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Alcaide-Marzal, J.
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Ali Derakhshan Asl
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Annals of operations research ; volume 253, number 1 (June 2017)
1
Application of operations research (OR) in disaster relief operations (DRO), part I and part II
1
International journal of business and systems research
1
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ECONIS (ZBW)
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Formulating multi-objective stochastic dynamic facility layout problem for disaster relief
Tayal, Akash
;
Singh, Surya Prakash
- In:
Application of operations research (OR) in disaster …
,
(pp. 837-863)
.
2019
Persistent link: https://www.econbiz.de/10012139558
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2
Formulating and solving sustainable stochastic dynamic facility layout problem: a key to sustainable operations
Tayal, Akash
;
Gunasekaran, Angappa
;
Singh, Surya Prakash
; …
-
2017
Persistent link: https://www.econbiz.de/10011669580
Saved in:
3
Integrated SA-DEA-TOPSIS-based solution approach for multi objective stochastic dynamic facility layout problem
Tayal, Akash
;
Singh, Surya Prakash
- In:
International journal of business and systems research
11
(
2017
)
1/2
,
pp. 82-100
Persistent link: https://www.econbiz.de/10011849801
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