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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.

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Journal ArticleDOI

Interval-Valued Uncertainty Based on Entropy and Dempster–Shafer Theory

Fereshteh Khalaj, +3 more
- 31 Dec 2018 - 
TL;DR: The effect of epistemic uncertainty is considered between events with respect to the non-probabilistic method and the aleatory uncertainty is evaluated by using an entropy index over probability distributions through interval-valued bounds, showing the efficiency of uncertainty quantification.
Journal Article

Detailed Scheduling of Tree-like Pipeline Networks with Multiple Refineries

Mehrnoosh Taherkhani, +4 more
- 16 Jun 2017 - 
TL;DR: A new deterministic mixed-integer linear programming (MILP) model is first presented, and then a two-stage stochastic model is proposed to meet depot requirements at the minimum total cost including pumping and stoppages costs.
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Prioritizing the glucose-lowering medicines for type 2 diabetes by an extended fuzzy decision-making approach with target-based attributes

Maryam Eghbali-Zarch, +3 more
- 01 Jul 2022 - 
Journal Article

A New Multi-objective Optimization Model for Diet Planning of Diabetes Patients under Uncertainty

Maryam Eghbali-Zarch, +4 more
- 10 Sep 2017 - 
TL;DR: In this article, a mixed-objective mixed-integer linear programming model under uncertainty is developed to design diet plans for diabetes patients, which minimizes the total amount of saturated fat, sugar and cholesterol and the total cost of the diet plans.
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Competitive facility location problem with foresight considering discrete-nature attractiveness for facilities: Model and solution

Seyyed Ebrahim Latifi, +3 more
- 01 Jun 2022 - 
TL;DR: In this article , a bi-level mixed-integer nonlinear programming (MINLP) model is proposed for the competitive facility location problem in a closed-loop supply chain, in which a firm (i.e., leader) aims at entering a market by locating new distribution and collection facilities, where a competitor (i., follower) already exists.