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
A robust location-arc routing problem under uncertainty: mathematical model with lower and upper bounds
TL;DR: The lower and upper bounds of the solutions are found to estimate a suitable range in which the optimum values exist and a manual sorting method is proposed to approximate the value of uncertain parameters to be used in the heuristics and meta-heuristics.
Proceedings ArticleDOI
A Multi-Depot Close and Open Vehicle Routing Problem with Heterogeneous Vehicles
TL;DR: This paper combines three types of vehicle routing problems (VRPs): multi-depot VRP, close and open VRP and heterogeneous VRP (HVRP) considering that each vehicle does not need to come back to the original depot.
Journal Article
A multi-objective location-allocation problem with lateral transshipment between distribution centres
TL;DR: In this paper, a distribution network by modeling for location-allocation in a supply chain that involves a fixed plant, distribution centers with multiple levels of capacities and retailers is designed.
Journal ArticleDOI
Mixed-integer linear programming model for tree-like pipeline scheduling problem with intermediate due dates on demands
Mehrnoosh Taherkhani,Mehdi Seifbarghy,Reza Tavakkoli-Moghaddam,Reza Tavakkoli-Moghaddam,Parviz Fattahi +4 more
TL;DR: This paper addresses the short-term scheduling of multi-level tree-like pipelines with multiple refineries through a continuous time mixed-integer linear programming (MILP) model that considers multiple intermediate due dates for product demands.
Journal Article
Plant Location Selection by Using a Three-Step Methodology: Delphi-AHP-VIKOR
TL;DR: A methodology to solve the plant location selection problem by using Delphi, AHP and improved VIKOR to select the most influential criteria by a few decision makers is presented.