Edna Schechtman

Papers

Total Citations

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About

Edna Schechtman’s research bridges industrial engineering and applied statistics, with key contributions in automated systems evaluation, sensor fusion, and process monitoring. Her most cited work, “Evaluation of automatic guided vehicle systems” (2008, 57 citations), provides a foundational framework for assessing the performance of autonomous vehicle fleets in manufacturing and logistics—a critical area for modern automation. She also developed a statistical evaluation method for comparing grid map-based sensor fusion algorithms (2006), offering a sensor-independent quantitative approach that enables robust performance analysis across diverse platforms. In process control, Schechtman explored the integration of statistical process control (SPC) and change-point procedures to detect shifts in scale parameters (2007), comparing CUSUM, likelihood ratio tests, and SPC methods like moving range and exponentially weighted moving average. Her work is characterized by rigorous simulation-based validation, making her methods practical for real-world applications. With a career spanning decades, Schechtman has advanced both theoretical understanding and applied solutions in quality control and automated systems, leaving a lasting impact on industrial statistics and robotics evaluation.