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Majid Eskandarpour
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2020 – today
- 2023
- [j8]Chandra Ade Irawan, Stefano Starita, Hing Kai Chan, Majid Eskandarpour, Mohammad Reihaneh:
Routing in offshore wind farms: A multi-period location and maintenance problem with joint use of a service operation vessel and a safe transfer boat. Eur. J. Oper. Res. 307(1): 328-350 (2023) - 2022
- [j7]Mohammad Reihaneh, Mostafa Abouei Ardakan, Majid Eskandarpour:
An exact algorithm for the redundancy allocation problem with heterogeneous components under the mixed redundancy strategy. Eur. J. Oper. Res. 297(3): 1112-1125 (2022) - 2021
- [j6]Chandra Ade Irawan, Majid Eskandarpour, Djamila Ouelhadj, Dylan F. Jones:
Simulation-based optimisation for stochastic maintenance routing in an offshore wind farm. Eur. J. Oper. Res. 289(3): 912-926 (2021) - [j5]Majid Eskandarpour, Pierre Dejax, Olivier Péton:
Multi-directional local search for sustainable supply chain network design. Int. J. Prod. Res. 59(2): 412-428 (2021)
2010 – 2019
- 2019
- [j4]Majid Eskandarpour, Djamila Ouelhadj, Sara Hatami, Angel A. Juan, Banafsheh Khosravi:
Enhanced multi-directional local search for the bi-objective heterogeneous vehicle routing problem with multiple driving ranges. Eur. J. Oper. Res. 277(2): 479-491 (2019) - 2018
- [j3]Aliakbar Hasani, Majid Eskandarpour, Mohammad Fattahi:
A simulation-based optimisation approach for multi-objective inventory control of perishable products in closed-loop supply chains under uncertainty. Int. J. Adv. Oper. Manag. 10(4): 324-344 (2018) - 2017
- [j2]Majid Eskandarpour, Pierre Dejax, Olivier Péton:
A large neighborhood search heuristic for supply chain network design. Comput. Oper. Res. 80: 23-37 (2017) - 2014
- [b1]Majid Eskandarpour:
Generic models and optimization algorithms for sustainable supply chain network design. (Modèles génériques et algorithmes d'optimisation pour la conception des chaînes logistiques durables). École des mines de Nantes, France, 2014 - [j1]Majid Eskandarpour, Ehsan Nikbakhsh, Seyed Hessameddin Zegordi:
Variable neighborhood search for the bi-objective post-sales network design problem: A fitness landscape analysis approach. Comput. Oper. Res. 52: 300-314 (2014)
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