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Title: Robust project scheduling model with resource constrained and solving it using particle swarm optimization

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Title:
Robust project scheduling model with resource constrained and solving it using particle swarm optimization
Author Name:
Mohammadhosein nabizadeh, Hoseinali hasanpur and Ahmad nourang
Abstract:
In the current situation, in spite of sanctions by Western countries, several solutions will be introduced to manage projects, so as to realize the resilience economy. The purpose of resilience economy is to neutralize of sanctions and pressures the sanctioning countries. One of these solutions in project management is increase project schedule robustness in uncertainty situation. So, more attention to the robustness of the project makes sense. In this paper, at first a real robust scheduling model for a refinery project has been presented and as the scheduling is constrained by resources including NP-Hard problem, the meta-heuristic particle swarm optimization were used. In order to validate the model, 4 small scale problems were selected and the solutions obtained from the proposed algorithm were compared with the exact solution obtained by Lingo software. The results show that the proposed algorithm are efficient and converge to the optimal solution
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