M
Mohammad Mahdi Paydar
Researcher at Babol Noshirvani University of Technology
Publications - 126
Citations - 3107
Mohammad Mahdi Paydar is an academic researcher from Babol Noshirvani University of Technology. The author has contributed to research in topics: Supply chain & Cellular manufacturing. The author has an hindex of 26, co-authored 115 publications receiving 1991 citations. Previous affiliations of Mohammad Mahdi Paydar include Mazandaran University of Science and Technology & Iran University of Science and Technology.
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An integrated fuzzy MOORA method and FMEA technique for sustainable supplier selection considering quantity discounts and supplier's risk
TL;DR: A fuzzy multi-objective optimization model based on the ratio analysis (fuzzy MOORA) is applied to evaluate the supplier's overall performance and shows that by employing the proposed model not only potent to increase total profit but also decrease the amount of risks which imposes on the sustainability.
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Designing a mathematical model for dynamic cellular manufacturing systems considering production planning and worker assignment
TL;DR: An integer mathematical programming model is presented for the design of cellular manufacturing systems in a dynamic environment to minimize holding and backorder costs, inter-cell material handling cost, machine and reconfiguration costs and hiring, firing and salary costs.
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Tree Growth Algorithm (TGA)
TL;DR: The Tree Growth Algorithm (TGA) is presented as a novel method with different approach to address optimization tasks, inspired by trees competition for acquiring light and foods and compared with well-known optimization algorithms showed the superiority of TGA in these problems.
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Genetic algorithm approach for solving a cell formation problem in cellular manufacturing
TL;DR: Numerical examples show that the proposed method is efficient and effective in searching for optimal solutions and performs well in terms of group efficacy compared to the well-known existing cell formation methods.
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Reverse logistics network design for medical waste management in the epidemic outbreak of the novel coronavirus (COVID-19).
TL;DR: A linear programming model with three objective functions is developed to minimize the total costs, the risk associated with the transportation and treatment of IMW, and the maximum amount of uncollected waste in MWGCs and can create a balance between three considered objectives.