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This graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Kazemi Miyangaskary, M., Keivanpour, S., & Safari, H. (2023, July). A multi-objective optimization model of a closed-loop supply chain for supplier selection and order allocation under uncertainty: A case study of retail stores for protein products [Paper]. World Conference on Transport Research (WCTR 2023), Montréal, Québec. Published in Transportation Research Procedia, 82. Available
Kazemi Miyangaskary, M., Keivanpour, S., & Lamghari, A. (2023, July). Optimizing Closed-Loop Supply Chain in the Electric Vehicle Battery Industry: A Fully Fuzzy Approach [Paper]. 20th IFIP WG 5.1 International Conference on Product Lifecycle Management: Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation (PLM 2023), Montreal, QC, Canada. Published in IFIP advances in information and communication technology. External link
Kazemi Miyangaskary, M., Keivanpour, S., & Safari, H. (2023, July). A multi-objective optimization model of a closed-loop supply chain for supplier selection and order allocation under uncertainty: A case study of retail stores for protein products [Paper]. 16th World Conference on Transport Research (WCTR 2023), Montréal, QC, Canada. External link
Kazemi Miyangaskary, M., Keivanpour, S., & Lamghari, A. (2023, July). Optimizing closed-loop supply chain in the electric vehicle battery industry: a fully fuzzy approach [Paper]. IFIP 20th International Conference on Product Lifecycle Management (PLM23), Montréal, QC, Canada. External link
Mahboubi, A., Kazemi Miyangaskary, M., Keivanpour, S., & Lamghari, A. (2025). The Sustainable Shared Reverse Logistics Framework: A Blueprint for EV Battery Recovery. Circular Economy and Sustainability, 23 pages. External link