Dr. Vahideh Bafandegan Emroozi, Ferdowsi university of Mashhad, Iran
Dr. Vahideh Bafandegan Emroozi is a highly accomplished industrial management researcher with a Ph.D. from Ferdowsi University of Mashhad. She has served as a Research Fellow at both Ferdowsi University and Sanabad University, contributing significantly to the fields of supply chain optimization, maintenance planning, and human error analysis. With expertise in mathematical modeling and IoT integration, her work addresses complex challenges in industrial systems. She has published extensively in top-tier journals, focusing on sustainability, reliability, and smart decision-making. Dr. Bafandegan Emroozi is known for her interdisciplinary approach and advanced skills in coding, simulation, and decision-making methodologies. 📊🔬💡
Publication Profile
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🎓 Education
Dr. Bafandegan Emroozi earned her Ph.D. in Industrial Management (2019–2024) from Ferdowsi University of Mashhad, with a GPA of 19.49/20. Her dissertation focused on maintenance planning models using the Internet of Things (IoT) and human error considerations. She previously completed her M.Sc. in Industrial Management (2014–2017) from the same university with a GPA of 18.96/20. Her academic journey began with a B.Sc. in Industrial Engineering (2008–2012), also at Ferdowsi University, where she achieved a GPA of 15.23/20. Her education reflects a strong foundation in both management and engineering disciplines, reinforced by a deep understanding of system dynamics and optimization. 🎓📘📈
💼 Experience
Dr. Bafandegan Emroozi has held research positions at Sanabad University (2023–2024) and Ferdowsi University of Mashhad (2021–2023), where she advanced projects in maintenance optimization, supply chain management, and human reliability modeling. She has also lectured in courses such as Operations Research, Multi-Criteria Decision Making, and Strategic Management. Her research integrates advanced modeling techniques using tools like Python, MATLAB, GAMS, Vensim, and Lingo. Through her academic roles, she has contributed to national and international collaborations, case studies, and interdisciplinary projects targeting industrial sustainability, IoT applications, and smart supply chain innovations. 🧪🖥️📚
🏆 Awards and Honors
Dr. Bafandegan Emroozi has received widespread academic recognition for her innovative contributions to industrial management and decision science. Her scholarly work has led to numerous publications in prestigious journals like Process Integration and Optimization for Sustainability and Quality and Reliability Engineering International. She has been invited to revise and publish impactful papers on human error modeling and maintenance efficiency. Her doctoral thesis earned top academic distinction, and she is frequently cited for her research on IoT-enabled maintenance and cognitive reliability. Her dedication to applied research and cross-disciplinary innovation has made her a notable contributor to Iran’s academic excellence. 🏅📖🌟
🔬 Research Focus
Dr. Bafandegan Emroozi’s research centers on supply chain optimization, human error modeling, and preventive maintenance planning. She leverages Internet of Things (IoT) technologies to enhance decision-making in industrial operations. Her work incorporates methods such as system dynamics, machine learning, mathematical modeling, and multi-criteria decision-making. She is also active in the study of cognitive reliability, vendor-managed inventory, and blockchain applications in supply chain systems. Her holistic approach addresses operational efficiency, sustainability, and risk management, making significant contributions to smart industry transformation and reliability engineering. ⚙️📦📉💻
Publication Top Notes
📦 A new supply chain design to solve supplier selection based on IoT and delivery reliability – cited by 39 (2023)
👥 A vendor-managed inventory model based on optimal retailers selection and reliability – cited by 32 (2023)
📈 A new model to design the suppliers portfolio in newsvendor problem based on product reliability – cited by 25 (2023)
🌱 Selecting green suppliers by considering IoT and CMCDM approach – cited by 19 (2023)
🧠 A new approach to human error assessment in financial services using modified CREAM and DANP – cited by 19 (2023)
🛠️ Improving industrial maintenance efficiency: Integrated production & human error optimization – cited by 18 (2024)
🛒 Newsvendor model based on suppliers’ competence & group decision-making – cited by 18 (2022)
🤖 Optimizing human reliability via CREAM and group decision-making – cited by 16 (2024)
🚇 MCDM in probabilistic environment for supplier selection (Urban Railway, Iran) – cited by 14 (2023)
🔧 Improving supply chain quality & cost with VIKOR and optimization – cited by 13 (2024)