TY - GEN
T1 - A Case Study of Digital Twin for a Manufacturing Process Involving Human Interactions
AU - Latif, Hasan
AU - Shao, Guodong
AU - Starly, Binil
N1 - Publisher Copyright: © 2020 IEEE.
PY - 2020/12/14
Y1 - 2020/12/14
N2 - Current algorithms, computations, and solutions that predict how humans will engage in smart manufacturing are insufficient for real-time activities. In this paper, a digital-twin implementation of a manual, manufacturing process is presented. This work (1) combines simulation with data from the physical world and (2) uses reinforcement learning to improve decision making on the shop floor. An adaptive simulation-based, digital twin is developed for a real manufacturing case. The digital twin demonstrates the improvement in predicting overall production output and solutions to existing problems.
AB - Current algorithms, computations, and solutions that predict how humans will engage in smart manufacturing are insufficient for real-time activities. In this paper, a digital-twin implementation of a manual, manufacturing process is presented. This work (1) combines simulation with data from the physical world and (2) uses reinforcement learning to improve decision making on the shop floor. An adaptive simulation-based, digital twin is developed for a real manufacturing case. The digital twin demonstrates the improvement in predicting overall production output and solutions to existing problems.
UR - https://www.scopus.com/pages/publications/85103900171
UR - https://www.scopus.com/pages/publications/85103900171#tab=citedBy
U2 - 10.1109/WSC48552.2020.9383897
DO - 10.1109/WSC48552.2020.9383897
M3 - Conference contribution
T3 - Proceedings - Winter Simulation Conference
SP - 2659
EP - 2670
BT - Proceedings of the 2020 Winter Simulation Conference, WSC 2020
A2 - Bae, K.-H.
A2 - Feng, B.
A2 - Kim, S.
A2 - Lazarova-Molnar, S.
A2 - Zheng, Z.
A2 - Roeder, T.
A2 - Thiesing, R.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 Winter Simulation Conference, WSC 2020
Y2 - 14 December 2020 through 18 December 2020
ER -