TY - GEN
T1 - Joint optimization of operating mode and part sequence for robot loading process considering real-time health condition
AU - Kang, Yunyi
AU - Ju, Feng
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - In this paper, we develop a decision-making framework for real-time production control considering the condition variation of robotic arms. Specifically, the temperature dynamics of robotic arms under different operation conditions is analyzed to assess the robotic arm's health status. Statistical models based on the observation of real-time information is firstly built to characterize the relationship between the robot temperature and time, considering various operation modes (i.e., capacity, working mode, speed). Then a loading process using the robotic arm is investigated and a continuous space Markov decision model is formulated to minimize the total processing time for a limited batch of products with different types. Numerical studies suggest that the performance of the proposed method is significantly better than the benchmark plans. Such a study reflects the necessity of joint consideration on the health condition of production assets together with production control, to maintain high productivity and utilization of the assets in production systems.
AB - In this paper, we develop a decision-making framework for real-time production control considering the condition variation of robotic arms. Specifically, the temperature dynamics of robotic arms under different operation conditions is analyzed to assess the robotic arm's health status. Statistical models based on the observation of real-time information is firstly built to characterize the relationship between the robot temperature and time, considering various operation modes (i.e., capacity, working mode, speed). Then a loading process using the robotic arm is investigated and a continuous space Markov decision model is formulated to minimize the total processing time for a limited batch of products with different types. Numerical studies suggest that the performance of the proposed method is significantly better than the benchmark plans. Such a study reflects the necessity of joint consideration on the health condition of production assets together with production control, to maintain high productivity and utilization of the assets in production systems.
UR - http://www.scopus.com/inward/record.url?scp=85072980400&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072980400&partnerID=8YFLogxK
U2 - 10.1109/COASE.2019.8842891
DO - 10.1109/COASE.2019.8842891
M3 - Conference contribution
AN - SCOPUS:85072980400
T3 - IEEE International Conference on Automation Science and Engineering
SP - 48
EP - 53
BT - 2019 IEEE 15th International Conference on Automation Science and Engineering, CASE 2019
PB - IEEE Computer Society
T2 - 15th IEEE International Conference on Automation Science and Engineering, CASE 2019
Y2 - 22 August 2019 through 26 August 2019
ER -