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
More filters
Designing a bi-objective, multi-product supply chain network for blood supply
TL;DR: Most of the intricacies in problem formulation of blood supply chain are regarded in this study; cases such as blood wastage, blood product decomposition in lab facilities, and transshipments between demand points are regarded.
Journal ArticleDOI
An intelligent algorithm to evaluate and improve the performance of a home healthcare center considering trust indicators
TL;DR: In this paper , an intelligent algorithm is proposed to assess the performance of an HHC center considering trust indicators, and the effect of these indicators on patient satisfaction was examined. But, the model presented in this study can be implemented in other healthcare units to enhance patient satisfaction.
Journal ArticleDOI
An imperialist competitive algorithm for a bi-objective parallel machine scheduling problem with load balancing consideration
Mansooreh Madani-Isfahani,Ehsan Ghobadian,Hassan Irani Tekmehdash,Reza Tavakkoli-Moghaddam,Mahdi Naderi-Beni +4 more
TL;DR: The preliminary results indicate that the proposed study outperforms other alternative methods and while OICA performs the worst as alternative solution strategy, PSO and GA seem to perform better.
Journal ArticleDOI
Rebalancing static bike-sharing systems: A two-period two-commodity multi-depot mathematical model
TL;DR: An Integer Linear Programming (ILP) has been developed for rebalancing the stations of a Periodic Bike Relocation Problem (PBRP) in multiple periods and a numerical example confirms the applicability of the proposed model.
Journal ArticleDOI
A Multi-Objective Mathematical Model for Green Supply Chain Reorganization
TL;DR: In this article, a multi-objective mathematical mode for hub location allocation problem was developed to capture the trade-off between the two objectives, which is related to the total cost and the environment impact.