M
Mehdi Seifbarghy
Researcher at Alzahra University
Publications - 78
Citations - 627
Mehdi Seifbarghy is an academic researcher from Alzahra University. The author has contributed to research in topics: Supply chain & Computer science. The author has an hindex of 13, co-authored 63 publications receiving 526 citations. Previous affiliations of Mehdi Seifbarghy include Sharif University of Technology & Islamic Azad University.
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A two-echelon inventory model with lost sales
TL;DR: The performance measures of interest are the average total stock in the system and the fraction of demand met in the retailers and procedures for determining these performance measures and optimising the behaviour of the system are developed.
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Contract design in a supply chain considering price and quality dependent demand with customer segmentation
TL;DR: In this article, a two-level supply chain consisting of a manufacturer and a retailer is considered, and the optimal values of the major decision variables of the chain are determined for different conditions.
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Cost evaluation of a two-echelon inventory system with lost sales and approximately Poisson demand
TL;DR: An approximate cost function is developed to find optimal reorder points for given batch sizes in all installations and the related accuracy is assessed through simulation.
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A four-echelon supply chain network design with shortage: Mathematical modeling and solution methods
TL;DR: In this paper, a four-echelon supply chain structure including multiple suppliers, multiple producers, multiple distributors and multiple customers is designed to minimize the total operating costs of all the supply chain elements and to maximize the reliability of the system.
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Optimizing a bi-objective reliable facility location problem with adapted stochastic measures using tuned-parameter multi-objective algorithms
TL;DR: A bi-objective RFLP with multiple capacity levels in a three echelon supply chain management while there is a constraint on the coverage levels and the adapted concepts of expected value of perfect information and the value of stochastic solution (VSS) in order to validate 2-SSP.