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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Journal ArticleDOI
Robust Periodic Vehicle Routing Problem with Time Windows under Uncertainty: An Efficient Algorithm
A. Salamatbakhsh-Varjovi,Reza Tavakkoli-Moghaddam,Reza Tavakkoli-Moghaddam,Mahdi Alinaghian,E. Najafi +4 more
TL;DR: A bi-objective mathematical model is developed to evaluate a Periodic Vehicle Routing Problem (PVRP) with time windows under uncertainty for companies competing to provide services to customers and shows that the IDE algorithm exhibits suitable accuracy and performance in solving the presented model.
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A new mathematical model for a scheduling problem of dynamic machine-tool selection and operation allocation in a flexible manufacturing system: A modified evolutionary algorithm
TL;DR: In this paper, a modified evolutionary algorithm (EA) considering an island model is proposed to solve the given problem, and the modified EA with the island model gives good results in terms of the objective function values and CPU times.
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An Efficient Genetic Algorithm for Two-stage Hybrid Flow Shop Scheduling with Preemption and Sequence Dependent Setup Time
TL;DR: A Genetic algorithm (GA) approach is used and for parameter tuning the Response Surface Method (RSM) is applied to increase the performance of the algorithm.
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Controlling the Bullwhip Effect in a Supply Chain Network with an Inventory Replenishment Policy Using a Robust Control Method
TL;DR: This paper develops a mathematical model using differential equations and considers a bullwhip effect in a supply chain network with multiple retailers and distributors and shows that the choice of the output matrix may reduce the bullwhips effect.
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New Approaches in Meta-heuristics to Schedule Purposeful Inspections of Workshops in Manufacturing Supply Chains
TL;DR: This paper is to select the best route that reduces the time elapsed between the workshops and the visit time of the inspectors by using two-tier supply chain simulation coupled with the vehicle routing problem (VRP) to give them more opportunity to visit more workshops.