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Profil
| Derzeitige Stellung | Professor W-2 und Äquivalente |
|---|---|
| Fachgebiet | Betriebswirtschaftslehre,Statistik und Ökonometrie |
| Keywords | Project management, Supply chain management, Multiple objective programming, Queueing, Stochastic programming |
| Auszeichnungen | 2018: Teaching Recognition Letter - Beedie School of Business, Simon Fraser University (Canada) 2011: Research Recognition Letter - Graduate School of Business, University College Dublin (Ireland) |
Aktuelle Kontaktadresse
| Land | Kanada |
|---|---|
| Ort | Surrey |
| Universität/Institution | Kwantlen Polytechnic University |
Gastgeber*innen während der Förderung
| Prof. Dr. Kai Furmans | Institut für Fördertechnik, Universität Karlsruhe (TH), Karlsruhe |
|---|---|
| Prof. Dr. Kai Furmans | Institut für Fördertechnik und Logistiksysteme (IFL), Karlsruher Institut für Technologie (KIT), Karlsruhe |
| Beginn der ersten Förderung | 01.04.2008 |
Programm(e)
| 2006 | Humboldt-Forschungsstipendien-Programm |
|---|
Publikationen (Auswahl)
| 2009 | Amir Azaron, Farhad Kianfar: Due date assignment for multistage assembly systems. In: Optimization Letters, 2009, 199-210 |
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| 2009 | Amir Azaron, Kai Furmans, Mohammad Modarres: Interactive multi-objective stochastic programming approaches for designing robust supply chain networks. In: Bernhard Fleischmann, Karl-Heinz Borgwardt, Robert Klein, Axel Tuma, Operations Research Proceedings 2008. Springer 2009. 173-178 |
| 2009 | Amir Azaron, Cahit Perkgoz, Hideki Katagiri, Kosuke Kato, Masatoshi Sakawa: Multi-objective reliability optimization for dissimilar-unit cold-standby systems using a genetic algorithm. In: Computers & Operations Research, 2009, 1562-1571 |
| 2009 | Ghasem Moslehi, Mohsen Mirzaee, Morteze Vasei, Mohammad Modarres, Amir Azaron: Two machine flow shop scheduling to minimize the sum of maximum earliness and tardiness. In: International Journal of Production Economics, 2009, 763-773 |
| 2008 | Amir Azaron, K.N. Brown, S.A. Tarim, M. Modarres: A multi-objective stochastic programming approach for supply chain design considering risk. In: Int. J. Production Economics, 2008, 129-138 |