Assist. Prof. Dr. Fateme Marandi | Engineering | Best Researcher Award
Birmingham City University, United Kingdom
Dr. Fateme Marandi is a dedicated academic and researcher specializing in industrial engineering, supply chain management, and business optimization. Currently serving as a Lecturer in International Business at Birmingham City University (BCU), she brings more than a decade of combined academic and corporate experience. She earned her Ph.D. in Industrial Engineering from Tehran Polytechnic – Amirkabir University of Technology in 2019, focusing on production optimization, following an M.S. in Industrial Engineering from Tarbiat Modares University and a B.S. from Alzahra University. Her research has been widely published in reputable journals such as Technology in Society, International Journal of Production Research, and Computers & Industrial Engineering, contributing over 15 papers with nearly 300 citations. She has also authored book chapters currently under review and regularly reviews for high-ranking journals, including European Journal of Operational Research and Transportation Research Part E. Dr. Marandi has secured significant research funding, notably a DARe’s Flexible Fund award for sustainable transport infrastructure. She collaborates extensively with scholars in the UK, Sweden, France, Iran, India, and Canada, and maintains active partnerships with the NHS in Birmingham to address healthcare efficiency and patient satisfaction challenges. An enthusiastic educator, she leads undergraduate and postgraduate modules in supply chain and operations management, consistently achieving excellent outcomes. Her commitment to teaching excellence earned her shortlisting for the prestigious “I AM BCU Award” as both Inspirational Teacher and Supervisor of the Year. With her interdisciplinary expertise, Dr. Marandi continues to make impactful contributions to research, teaching, and institutional development.
Profiles: Orcid | Google Scholar
Featured Publications
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Modeling the enablers for blockchain technology adoption in renewable energy supply chain.
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Integrated multi-factory production and distribution scheduling applying vehicle routing approach.
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Integrated production and distribution scheduling for perishable products.
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Time series forecasting and analysis of municipal solid waste generation in Tehran city.
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Network configuration multi-factory scheduling with batch delivery: a learning-oriented simulated annealing approach.
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A new approach in graph-based integrated production and distribution scheduling for perishable products.
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An Integrated approach based on MADM and MODM for supplier selection and assembler selection in supply chain management.
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Integrated Production Scheduling in Dairy Products with Improved Particle Swarm Optimization.