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ESD Research Seminar by Lun Yu – Near-optimal data-driven control for assemble-to-order systems
ESD Research Seminar by Lun Yu – The literature on periodic-review assemble-to-order (ATO) systems has long assumed that the demand distribution is exactly known. In practice, this may not be true and only a limited sample of historical demand data is available. In this paper, we study data-driven ATO systems under the criteria of long-run average cost
YUHAO Wu
PhD student
PAN Yining
PhD student
PANICKER Yustynn
PhD student
Congratulation to Associate Professor Joel Yang who was recently awarded NRF Investigatorship Award
Congratulation to Associate Professor Joel Yang who was recently awarded NRF Investigatorship Award for his Research Titled “3D Nanostructured Optics with Designer Elements (NODE) to Shape and Control Light”.
Dr. Joel Yang is an Associate Professor of the Engineering Product Development