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Laya Olfat

Researcher at Allameh Tabataba'i University

Publications -  36
Citations -  2379

Laya Olfat is an academic researcher from Allameh Tabataba'i University. The author has contributed to research in topics: Supply chain & Supply chain management. The author has an hindex of 13, co-authored 31 publications receiving 1755 citations.

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Multi-Criteria Inventory Classification Using a New Method of Evaluation Based on Distance from Average Solution (EDAS)

TL;DR: A new method of Evaluation based on Distance from Average Solution (EDAS) is introduced for multi-criteria inventory clas- sification (MCIC) problems and shows that the proposed method is stable in different weights and well consistent with the other methods.
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Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain

TL;DR: In this article, an integrated approach of fuzzy multi attribute utility theory and multi-objective programming is presented for rating and selecting the best green suppliers according to economic and environmental criteria and then allocating the optimum order quantities among them.
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A fuzzy multi criteria approach for evaluating green supplier's performance in green supply chain with linguistic preferences

TL;DR: In this paper, a fuzzy multi-criteria approach for green suppliers' evaluation is proposed to translate the subjective human perceptions into a solid crisp value, which are then combined through fuzzy TOPSIS to generate an overall performance score for each supplier.
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An exploration of green supply chain practices and performances in an automotive industry

TL;DR: In this paper, the authors explored the practices and performances of the green supply chain management (GSCM) practices based on the GSCM literature, and it considered the relationship between green Supply Chain practices (initiatives) and performance outcomes.
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Pharmaceutical supply chain risk assessment in Iran using analytic hierarchy process (AHP) and simple additive weighting (SAW) methods

TL;DR: Half of total risks in the pharmaceutical supply chain were found to be internal risks which could be fixed by companies, internally, and political status and related risks forced companies to focus more on financial and supply management resulting in less attention to quality management.