S
Seyed Hamid Hashemi Petrudi
Researcher at University of Tehran
Publications - 6
Citations - 195
Seyed Hamid Hashemi Petrudi 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 3, co-authored 4 publications receiving 117 citations. Previous affiliations of Seyed Hamid Hashemi Petrudi include University of Mazandaran.
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Integrating sustainability into supplier selection with analytical hierarchy process and improved grey relational analysis: a case of telecom industry
TL;DR: A structured and integrated decision model for evaluating sustainable suppliers in the context of telecom industry by combining analytical hierarchy process (AHP) and improved grey relational analysis (IGRA) approaches is proposed.
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A comprehensive framework for analyzing challenges in humanitarian supply chain management: A case study of the Iranian Red Crescent Society
TL;DR: This study is an attempt to provide a comprehensive framework for HSCM challenges in a case study of the Iranian Red Crescent Society (IRCS), and the proposed model provides insightful guideline for increasing the effectiveness of relief efforts.
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Assessing suppliers considering social sustainability innovation factors during COVID-19 disaster
TL;DR: In this paper, the authors introduce a social sustainability innovation framework for assessing suppliers during the COVID-19 pandemic, where a group grey-best worst method (Group GBWM) was utilized to identify the criteria weights and improved grey relational analysis (IGRA) is utilized for ranking the suppliers.
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An integrated approach to evaluate suppliers in a sustainable supply chain
TL;DR: This article is intended to provide a history of the project and some of the key events leading up to and during the development and implementation of the plan.
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An Integrated Fuzzy Delphi and Best Worst Method (BWM) for performance measurement in higher education
TL;DR: In this article , the authors proposed a multiple-criteria decision-making framework for performance measurement in higher education institutions (HEIs) using semi-structured interviews, expert panels, and questionnaires.