TY - JOUR
T1 - Determination of vehicle requirements of AGV system based on discrete event simulation and response surface methodology
AU - Fu, Jianlin
AU - Zhang, Jian
AU - Ding, Guofu
AU - Qin, Shengfeng
AU - Jiang, Haifan
N1 - This research is supported by the Major State Basic Research Program in Sichuan Province of China (Grant number 20YYJC4377).
PY - 2021/7/1
Y1 - 2021/7/1
N2 - The determination of AGV vehicle requirements in a manufacturing system has a great impact on the system performance. This paper first defines the AGV vehicle requirement determination as a general optimization problem, and secondly develops a new AGV vehicle requirement determination method capable of effective solving the problem. This method features with the combination of discrete event simulation (DES), sensitivity analysis, fractional factorial design (FFD) and response surface methodology (RSM). Tests and comparisons with other simulation based methods have shown that the proposed method combining the simulation method with analytical method, can make full use of their respective advantages and overcome the defects of existing methods. It is more practical.
AB - The determination of AGV vehicle requirements in a manufacturing system has a great impact on the system performance. This paper first defines the AGV vehicle requirement determination as a general optimization problem, and secondly develops a new AGV vehicle requirement determination method capable of effective solving the problem. This method features with the combination of discrete event simulation (DES), sensitivity analysis, fractional factorial design (FFD) and response surface methodology (RSM). Tests and comparisons with other simulation based methods have shown that the proposed method combining the simulation method with analytical method, can make full use of their respective advantages and overcome the defects of existing methods. It is more practical.
KW - automated guided vehicle (AGV)
KW - discrete event simulation
KW - response surface methodology
KW - simulation optimization
UR - http://www.scopus.com/inward/record.url?scp=85101236907&partnerID=8YFLogxK
U2 - 10.1177/0954405421995602
DO - 10.1177/0954405421995602
M3 - Article
SN - 0954-4054
VL - 235
SP - 1425
EP - 1436
JO - Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
JF - Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
IS - 9
M1 - 095440542199560
ER -