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Ahmed W. El-Bouri
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2020 – today
- 2022
- [j9]Amar Oukil, Ahmed W. El-Bouri, Ali Emrouznejad
:
Energy-aware job scheduling in a multi-objective production environment - An integrated DEA-OWA model. Comput. Ind. Eng. 168: 108065 (2022) - [c4]Ahmed W. El-Bouri, Amar Oukil:
Dispatching Rules in a Job Shop: The Case of Dynamic Scheduling under Time-of-use Electricity Costs. IEEM 2022: 767-771 - 2021
- [j8]Amar Oukil
Ranking dispatching rules in multi-objective dynamic flow shop scheduling: a multi-faceted perspective. Int. J. Prod. Res. 59(2): 388-411 (2021)
2010 – 2019
- 2018
- [j7]Gholam R. Amin, Ahmed W. El-Bouri
A minimax linear programming model for dispatching rule selection. Comput. Ind. Eng. 121: 27-35 (2018) - 2015
- [j6]Ahmed W. El-Bouri
A combined OWA-DEA method for dispatching rule selection. Comput. Ind. Eng. 88: 470-478 (2015) - [c3]Ahmed W. El-Bouri
Search-enhanced job dispatching in a dynamic permutation flowshop. IEEM 2015: 199-203 - 2014
- [c2]Ahmed W. El-Bouri
Scheduling a dynamic flowshop to minimize the mean absolute deviation from distinct due dates. IEEM 2014: 521-525 - 2012
- [j5]Ahmed W. El-Bouri
A cooperative dispatching approach for minimizing mean tardiness in a dynamic flowshop. Comput. Oper. Res. 39(7): 1305-1314 (2012) - [c1]Ahmed W. El-Bouri
An investigation of initial solutions on the performance of an iterated local search algorithm for the permutation flowshop. IEEE Congress on Evolutionary Computation 2012: 1-5
2000 – 2009
- 2007
- [j4]Ahmed W. El-Bouri
A comparative study of a new heuristic based on adaptive memory programming and simulated annealing: The case of job shop scheduling. Eur. J. Oper. Res. 177(3): 1894-1910 (2007) - [j3]Saeed Zolfaghari, Ahmed W. El-Bouri
Heuristics for Large Scale Labour Scheduling Problems in Retail Sector. INFOR Inf. Syst. Oper. Res. 45(3): 111-122 (2007) - 2005
- [j2]Ahmed W. El-Bouri
A neural network to enhance local search in the permutation flowshop. Comput. Ind. Eng. 49(1): 182-196 (2005) - 2000
- [j1]Ahmed W. El-Bouri
Sequencing jobs on a single machine: A neural network approach. Eur. J. Oper. Res. 126(3): 474-490 (2000)
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