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Rohollah Ghasemi

Researcher at University of Tehran

Publications -  20
Citations -  362

Rohollah Ghasemi is an academic researcher from University of Tehran. The author has contributed to research in topics: Feed conversion ratio & Sustainability. The author has an hindex of 9, co-authored 18 publications receiving 295 citations.

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An integrated approach for performance evaluation in sustainable supply chain networks (with a case study)

TL;DR: In this article, a hybrid BSC-DEA framework for performance evaluation in sustainable supply chains is proposed, which is capable of dealing with both qualitative and quantitative indicators while accounting for desirable and undesirable indicators.
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A Fuzzy Analytic Network Process (FANP) approach for prioritizing internet of things challenges in Iran

TL;DR: An integrated approach using fuzzy analytic network process (FANP) was applied to carry out the following tasks: first, to identify the most important IoT technology development challenges in Iran and secondly, to prioritize the aforementioned factors.
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Adding medicinal herbs including garlic (Allium sativum) and thyme (Thymus vulgaris) to diet of laying hens and evaluating productive performance and egg quality characteristics.

TL;DR: Dietary inclusion of garlic and thyme can have beneficial effects on performance of laying hens in terms of improving egg weight and yolk color.
Posted Content

Internet of things in industries: a survey for sustainable development

TL;DR: In this paper, the authors used the analytic hierarchy process (AHP), technique for order of preference by similarity to ideal solution (TOPSIS) and ELimination Et Choix Traduisant la REalite e (ELECTRE) methods applied.
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Canonical correlation analysis between people criterion and people results criterion in EFQM model

TL;DR: The results confirm the previous findings on the issue and show that the people criterion is strongly related to the people results criterion and a balanced approach in the development of people sub-criteria allows companies to obtain an optimal profit from the EFQM Excellence Model.