R
Reza Tavakkoli-Moghaddam
Researcher at University of Tehran
Publications - 724
Citations - 17195
Reza Tavakkoli-Moghaddam is an academic researcher from University of Tehran. The author has contributed to research in topics: Supply chain & Fuzzy logic. The author has an hindex of 56, co-authored 650 publications receiving 13200 citations. Previous affiliations of Reza Tavakkoli-Moghaddam include University of British Columbia & Education and Research Network.
Papers
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Simultaneous waterway scheduling, berth allocation, and quay crane assignment: A novel matheuristic approach
TL;DR: Three distinct matheuristic approaches are developed by combining the genetic algorithm, discrete differential evolution, and grey wolf optimiser with a mathematical model and tested using randomly-generated numerical instances and some managerial insights are provided.
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Multi-echelon supply chain design considering unreliable facilities with facility hardening possibility
TL;DR: The results show that the adoption of the integrated approach at different echelon of the network through the cooperation between the owners of echelons is much more effective than the independent optimization of each one.
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A new mathematical model for the Weber location problem with a probabilistic polyhedral barrier
TL;DR: In this paper, a modified version of the polyhedral barrier is presented, which is equivalent to the original problem, and a mixed integer nonlinear programming model is presented which has a nonconvex solution space.
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Multi-objective integrated planning and scheduling model for operating rooms under uncertainty.
Javad Ansarifar,Reza Tavakkoli-Moghaddam,Reza Tavakkoli-Moghaddam,Faezeh Akhavizadegan,Saman Hassanzadeh Amin +4 more
TL;DR: The proposed model is more effective and efficient to schedule and plan surgeries and assign resources than manual scheduling and outperforms the Multi-Objective Particle Swarm Optimization algorithm in most of the utilized metrics.
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A multi-objective imperialist competitive algorithm for integrating intra-cell layout and processing route reliability in a cellular manufacturing system
TL;DR: A novel bi-objective integer model is presented to integrate reliability and intra-cell layout in designing a cellular manufacturing system (CMS) and it is demonstrated that the performance of the proposed MOICA is superior to the NSGA-II.