معرفی
Edin Kadrić is a full professor at the University of Sarajevo's Faculty of Mechanical Engineering, where he has served since 2002 in various academic positions, progressing from Assistant to Senior Assistant, and ultimately to Professor in 2014. His academic career spans over two decades at the same institution, demonstrating significant commitment to mechanical engineering education and research in Bosnia and Herzegovina.
His educational background includes a Doctorate (2008-2014) with dissertation on inventory management models under risk conditions, a Master's degree (2002-2008) focused on inventory management under risk, and a Bachelor's degree (1994-2002) in mechanical engineering with thesis on measurement of contours of complex machine parts.
Kadrić's research primarily centers on inventory management systems, operations research, and decision support systems in engineering. His expertise spans statistical analysis, business process optimization, and quality control systems. He has made significant contributions to understanding inventory management under uncertain conditions, particularly in automotive and manufacturing contexts. His work bridges theoretical operations research with practical industrial applications, focusing on risk assessment and optimization techniques.
Analysis of his publication history reveals a consistent focus on inventory management models, particularly the newsvendor model and its extensions, with applications across multiple industries. His research demonstrates a progression from fundamental inventory theory to more complex applications involving risk analysis, seasonal forecasting, and multi-criteria decision making. The most recent publications show increased attention to energy efficiency applications within mechanical engineering contexts, indicating expanding research interests while maintaining core expertise in operations research.
Professor Kadrić has supervised several graduate students on topics related to inventory management models, performance assessment of prediction systems, and retail inventory applications. He has participated in multiple research projects including ERASMUS+ initiatives and national research projects focused on inventory management systems under uncertain demand conditions.
His professional activities include teaching courses such as Decision Support Systems in Engineering, Design and Analysis of Industrial Experiments, Intelligent Industrial Systems, Process and Quality Control, Operations Analysis, and Multi-criteria Process Management. With strong proficiency in English (C1 level) and basic German skills, he maintains international academic connections while focusing primarily on regional industrial applications.
