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
Resource allocation in dynamic PERT networks with finite capacity
TL;DR: In this paper, the authors model the resource allocation problem in dynamic PERT networks with finite capacity of concurrent projects (COnstant Number of Projects In Process), where activity durations are independent random variables with exponential distributions, and new projects are generated according to a Poisson process.
Journal ArticleDOI
Developing an integrated model for planning the delivery of construction materials to post-disaster reconstruction projects
Zahra Gharib,Maziar Yazdani,Ali Bozorgi-Amiri,Reza Tavakkoli-Moghaddam,Mohammad Javad Taghipourian +4 more
TL;DR: In this paper , the authors proposed an integrated approach to facilitate the procurement planning of construction materials following a large-scale disaster by clustering the location of construction projects using a differential evolution (DE)-K-prototypes, a new partitional clustering algorithm based on DE and K-prototype, method.
Book ChapterDOI
An Interval-Valued Hesitant Fuzzy TOPSIS Method to Determine the Criteria Weights
TL;DR: This study presents a new TOPSIS method based on interval-valued hesitant fuzzy information to compute the criteria weights, and the weight of each expert and the experts' judgments about the criterion weights are considered in the proposed procedure.
Journal ArticleDOI
An interval-valued fuzzy statistical group decision making approach with new evaluating indices for sustainable supplier selection problem
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A Multi-Depot Home Care Routing Problem with Time Windows and Fuzzy Demands Solving by Particle Swarm Optimization and Genetic Algorithm
TL;DR: This study presents a new mathematical model for a multi-depot vehicle routing problem (VRP) with time windows for home health care firms, and the related results are compared with the GAMS outcomes for small-sized problems.