Kosar University of Bojnord | Iran
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🎓 Early Academic Pursuits
Dr. Aylin Pakzad's academic journey began with a Bachelor's degree in Industrial Engineering, specializing in industrial production, from Shahid Bahonar University of Kerman, graduating in 2018. Her passion for the field led her to pursue a Master's degree in Industrial Engineering with a specialization in industrial systems at the same university, completing it in 2013. She furthered her education with a study opportunity at Iran University of Science and Technology from December 2018 to June 2019. Dr. Pakzad culminated her academic pursuits with a Ph.D. in Industrial Engineering from Ferdowsi University of Mashhad, a degree she accepted in July 2022.
💼 Professional Endeavors
Dr. Pakzad has held several significant academic positions, showcasing her leadership and expertise in the field. She served as the Deputy Director of the Industrial Engineering Department at Ishraq Bojnoord Institute of Higher Education in 2014. From 2013 to 2015, she was the Head of the Industrial Engineering Department at Kausar Bojnord University. Since 2014, Dr. Pakzad has been a valued member of the faculty at the Faculty of Technology, Engineering, and Basic Sciences at Kausar Bojnord University.
🔬 Contributions and Research Focus
Dr. Pakzad's research is marked by a focus on Statistical Quality Control, Process Capability Analysis, Fuzzy Statistics, and Data Mining. Her scholarly contributions are reflected in her numerous publications in international journals. Notable works include her 2014 study on evaluating the performance of an educational system using an Analytic Hierarchy Process- Assurance Region- Joint Multiple Layer Data Envelopment Analysis Model. Her research extends to developing new indices for process capability analysis and innovative approaches to data mining.
🏆 Accolades and Recognition
Dr. Pakzad's academic and research excellence has earned her recognition within the industrial engineering community. Her work has been featured in both international journals and conferences, such as the International Journal of Data Envelopment Analysis and the Journal of Statistical Computation and Simulation. Her pioneering research on process capability indices for linear profiles and innovative approaches to quality engineering has cemented her reputation as a leading expert in her field.
🌍 Impact and Influence
Dr. Pakzad's influence extends beyond academia. Her research has practical applications in quality management, industrial engineering, and data analysis, impacting various industries. Her work on statistical models and process capability indices has provided valuable tools for engineers and researchers alike, contributing to the advancement of industrial practices and academic knowledge.
🌟 Legacy and Future Contributions
Dr. Pakzad continues to push the boundaries of industrial engineering with her innovative research and dedicated teaching. Her legacy is one of intellectual rigor, leadership, and a commitment to advancing the field of industrial engineering. As she continues her work, Dr. Pakzad is poised to make further significant contributions, shaping the future of industrial engineering and inspiring the next generation of engineers and researchers.
Publications
📝Process Capability Index for Simple Linear Profile in the Presence of Within- and Between-Profile Autocorrelation
Authors: Aylin Pakzad , Ali Yeganeh , Rassoul Noorossana , and Sandile Charles Shongwe
Journal: Mathematics
Year: 2024
📝Process Capability Analysis for Simple Linear Profiles
Authors: Aylin Pakzad , S. Adibfar , H. Razavi , R. Noorossana
Journal: Quality & Quantity
Year: 2024
📝Problem Development, Model Formulation and Proposed Algorithm for Capacitated Arc Routing Problem with Priority Edges
Authors: F. Tanhaie , Aylin Pakzad
Journal: International Journal of Industrial Engineering and Production Research
Year: 2023
📝A New Incapability Index for Simple Linear Profile with Asymmetric Tolerances
Authors: Aylin Pakzad , E. Basiri
Journal: Quality Engineering
Year: 2023
📝Developing Loss-Based Functional Process Capability Indices for Simple Linear Profile
Authors: Aylin Pakzad , H. Razavi , B. Sadeghpour Gildeh
Journal: Journal of Statistical Computation and Simulation
Year: 2022