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About

Dr. Elif Kongar is a leading researcher in sustainable manufacturing and end-of-life product recovery, with a primary focus on robotic disassembly and automated recycling systems. Her work addresses the critical challenge of efficiently disassembling electronic waste, a problem she tackles through advanced computational methods. Dr. Kongar’s major contributions lie in developing metaheuristic algorithms—including genetic algorithms and tabu search—to solve the computationally complex disassembly sequence planning (DSP) problem, a nondeterministic polynomial time (NP) complete challenge. Her pioneering 2012 paper, "A Robotic-Driven Disassembly Sequence Generator for End-Of-Life Electronic Products," has garnered 100 citations, establishing a foundational framework for the field. She further advanced the discipline with her 2015 work on tabu search for disassembly sequencing (74 citations) and her innovative 2019 study integrating orthogonal arrays and task allocation for robust robotic disassembly. Dr. Kongar’s research uniquely bridges theoretical optimization with practical, real-time applications, as demonstrated in her work on online genetic algorithms for automated disassembly cells. Her decision-maker-centered recovery systems empower industries to maximize resource recovery while minimizing environmental impact, making her a pivotal figure in the transition toward a circular economy.