TY - GEN
T1 - Application and research of the refilling process with Clip Type Manipulator
AU - Jin, Hui
AU - Yun, Chao
AU - Gao, Xiaoshan
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015
Y1 - 2015
N2 - The Clip Type Manipulator, which includes moving unit and clip type manipulator unit, is designed for the Fast Medicine Dispensing System (FMDS). The modularization design technique is in favour of coordinated control among units and system maintenance. The permutation order of storage containers in the automatic refilling mode has been observed to have significant influence on the dispensing efficiency of the FMDS. Ant colony optimization (ACO) is used to simulate the picking route of the FMDS and optimized the picking order in practical operation. Test results show the picking route value simulated by ACO more than 43% compared with the commonly used picking route simulated by order-picking mode (OPM) in 20 picking points. According to the picking points resulting from simulation, theoretical optimization time calculated by ACO is over 50% better than that calculated by OPM. Operational test results show the optimization time of a route simulated by ACO had been optimized by more than 40% By increasing the picking point intensity, accelerating and decelerating processes existing in the short distance between picking points has a much more significant influence on optimized results.
AB - The Clip Type Manipulator, which includes moving unit and clip type manipulator unit, is designed for the Fast Medicine Dispensing System (FMDS). The modularization design technique is in favour of coordinated control among units and system maintenance. The permutation order of storage containers in the automatic refilling mode has been observed to have significant influence on the dispensing efficiency of the FMDS. Ant colony optimization (ACO) is used to simulate the picking route of the FMDS and optimized the picking order in practical operation. Test results show the picking route value simulated by ACO more than 43% compared with the commonly used picking route simulated by order-picking mode (OPM) in 20 picking points. According to the picking points resulting from simulation, theoretical optimization time calculated by ACO is over 50% better than that calculated by OPM. Operational test results show the optimization time of a route simulated by ACO had been optimized by more than 40% By increasing the picking point intensity, accelerating and decelerating processes existing in the short distance between picking points has a much more significant influence on optimized results.
UR - https://www.scopus.com/pages/publications/84964440211
U2 - 10.1109/ROBIO.2015.7418863
DO - 10.1109/ROBIO.2015.7418863
M3 - 会议稿件
AN - SCOPUS:84964440211
T3 - 2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015
SP - 775
EP - 780
BT - 2015 IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Conference on Robotics and Biomimetics, IEEE-ROBIO 2015
Y2 - 6 December 2015 through 9 December 2015
ER -