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Parviz Fattahi
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2020 – today
- 2024
- [j18]Mahdyeh Shiri, Parviz Fattahi, Fatemeh Sogandi:
Two-stage approach for COVID-19 vaccine supply chain network under uncertainty using the machine learning algorithms: A case study. Eng. Appl. Artif. Intell. 135: 108837 (2024) - 2022
- [j17]Vahid Hajipour, Parviz Fattahi, Hasan Bagheri, Samaneh Babaei Morad:
Dynamic maximal covering location problem for fire stations under uncertainty: soft-computing approaches. Int. J. Syst. Assur. Eng. Manag. 13(1): 90-112 (2022) - 2021
- [j16]Parviz Fattahi, Vahid Hajipour, Sara Hajiloo:
A multi-objective parameter-tuned soft computing-based algorithm to optimize competitive congested location-pricing problem within multi-type service. Array 10: 100062 (2021) - [j15]Ehsan Molaee, Ramin Sadeghian, Parviz Fattahi:
Minimizing maximum tardiness on a single machine with family setup times and machine disruption. Comput. Oper. Res. 129: 105231 (2021) - [j14]Fatemeh Daneshamooz, Parviz Fattahi, Seyed Mohammad Hassan Hosseini:
Mathematical modeling and two efficient branch and bound algorithms for job shop scheduling problem followed by an assembly stage. Kybernetes 50(12): 3222-3245 (2021) - 2020
- [j13]Mehrnoosh Taherkhani, Mehdi Seifbarghy, Reza Tavakkoli-Moghaddam, Parviz Fattahi:
Mixed-integer linear programming model for tree-like pipeline scheduling problem with intermediate due dates on demands. Oper. Res. 20(1): 399-425 (2020)
2010 – 2019
- 2016
- [j12]Vahid Hajipour, Reza Zanjirani Farahani, Parviz Fattahi:
Bi-objective vibration damping optimization for congested location-pricing problem. Comput. Oper. Res. 70: 87-100 (2016) - [j11]Meysam Rabiee, Fariborz Jolai, Hossein Asefi, Parviz Fattahi, Samsung Lim:
A biogeography-based optimisation algorithm for a realistic no-wait hybrid flow shop with unrelated parallel machines to minimise mean tardiness. Int. J. Comput. Integr. Manuf. 29(9): 1007-1024 (2016) - 2015
- [j10]Parvaneh Samouei, Amir Saman Kheirkhah, Parviz Fattahi:
A network approach modeling of multi-echelon spare-part inventory system with backorders and quantity discount. Ann. Oper. Res. 226(1): 551-563 (2015) - [j9]Parviz Fattahi, Vahid Hajipour, Arash Nobari:
A bi-objective continuous review inventory control model: Pareto-based meta-heuristic algorithms. Appl. Soft Comput. 32: 211-223 (2015) - [j8]Mohammad Rohaninejad, Amir Saman Kheirkhah, Behdin Vahedi Nouri, Parviz Fattahi:
Two hybrid tabu search-firefly algorithms for the capacitated job shop scheduling problem with sequence-dependent setup cost. Int. J. Comput. Integr. Manuf. 28(5): 470-487 (2015) - [j7]Amir Jalilvand-Nejad, Parviz Fattahi:
A mathematical model and genetic algorithm to cyclic flexible job shop scheduling problem. J. Intell. Manuf. 26(6): 1085-1098 (2015) - 2014
- [j6]Zahra Tajbakhsh, Parviz Fattahi, Javad Behnamian:
Multi-objective assembly permutation flow shop scheduling problem: a mathematical model and a meta-heuristic algorithm. J. Oper. Res. Soc. 65(10): 1580-1592 (2014) - 2013
- [j5]Reza Ramezanian, Mohammad Saidi-Mehrabad, Parviz Fattahi:
Integrated lot-sizing and scheduling with overlapping for multi-level capacitated production system. Int. J. Comput. Integr. Manuf. 26(7): 681-695 (2013) - 2012
- [j4]Abdolreza Roshani, Parviz Fattahi, Abdolhassan Roshani, Mohsen Salehi, Arezoo Roshani:
Cost-oriented two-sided assembly line balancing problem: A simulated annealing approach. Int. J. Comput. Integr. Manuf. 25(8): 689-715 (2012) - [j3]Fariborz Jolai, Mehdi Foumani, Reza Tavakoli-Moghaddam, Parviz Fattahi:
Cyclic scheduling of a robotic flexible cell with load lock and swap. J. Intell. Manuf. 23(5): 1885-1891 (2012)
2000 – 2009
- 2007
- [j2]Fariborz Jolai, Mustafa Jahangoshai Rezaee, Masoud Rabbani, Jafar Razmi, Parviz Fattahi:
Exact algorithm for bi-objective 0-1 knapsack problem. Appl. Math. Comput. 194(2): 544-551 (2007) - [j1]Parviz Fattahi, Mohammad Saidi-Mehrabad, Fariborz Jolai:
Mathematical modeling and heuristic approaches to flexible job shop scheduling problems. J. Intell. Manuf. 18(3): 331-342 (2007)
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last updated on 2024-08-03 20:16 CEST by the dblp team
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