Optimization of Manufacturing Layout Using Deep Reinforcement Learning and Simulation
Year: 2025
Type: article
Abstract: Journal of the Korean Society for Precision Engineering (JKSPE) is devoted to publishing original research articles with high ethical standard on all aspects of precision engineering and manufacturing. Specifically, the journal focuses on articles related to improving the precision of machines and manufacturing processes through implementation of creative solutions that stem from advanced research using novel experimental methods, predictive modeling techniques, and rigorous analyses based on mechanical engineering or multidisciplinary approach. The expected outcomes of the knowledge disseminated from JKSPE are enhanced reliability, better motion precision, higher measurement accuracy, and sufficient reliability of precision systems, 한국정밀공학회지
Authors: Ye Ji Choi, Minsung Kim, Byeong Soo Kim
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4408554072