TY - JOUR
T1 - The module configuration optimization of vertical computer numerical control honing machine based on ideal outranking cardinal point
AU - Wang, Chuang
AU - Zhou, Guanghui
AU - Chang, Fengtian
AU - Zhang, Yu
N1 - Publisher Copyright:
© The Author(s) 2020.
PY - 2020/7
Y1 - 2020/7
N2 - To find the optimal one from all feasible module configuration schemes of high-end computer numerical control machine tools according to performance, cost, and delivery, this article studies the method of module configuration optimization. An ideal outranking cardinal point based on the module configuration optimization approach of vertical computer numerical control honing machine is proposed in this article. First, it establishes the multi-objective decision model of the module configuration optimization according to performance indicator function, cost indicator function, and delivery indicator function. Second, the feasible configuration schemes, which are obtained based on customer requirements, are transformed into the data matrix of decision attributes. Third, ideal outranking cardinal point is used to calculate the multi-objective decision model of the module configuration optimization. According to the comprehensive distance between the feasible configuration schemes and the ideal outranking cardinal point, and the inverse ideal outranking cardinal point, the optimal configuration scheme is selected. The feasibility and universality of the proposed approach is verified by a module configuration optimization case of vertical computer numerical control honing machine.
AB - To find the optimal one from all feasible module configuration schemes of high-end computer numerical control machine tools according to performance, cost, and delivery, this article studies the method of module configuration optimization. An ideal outranking cardinal point based on the module configuration optimization approach of vertical computer numerical control honing machine is proposed in this article. First, it establishes the multi-objective decision model of the module configuration optimization according to performance indicator function, cost indicator function, and delivery indicator function. Second, the feasible configuration schemes, which are obtained based on customer requirements, are transformed into the data matrix of decision attributes. Third, ideal outranking cardinal point is used to calculate the multi-objective decision model of the module configuration optimization. According to the comprehensive distance between the feasible configuration schemes and the ideal outranking cardinal point, and the inverse ideal outranking cardinal point, the optimal configuration scheme is selected. The feasibility and universality of the proposed approach is verified by a module configuration optimization case of vertical computer numerical control honing machine.
KW - Configuration optimization
KW - ideal outranking cardinal point
KW - modularization
KW - multi-objective decision
UR - https://www.scopus.com/pages/publications/85087407676
U2 - 10.1177/0036850420935729
DO - 10.1177/0036850420935729
M3 - 文章
C2 - 32619129
AN - SCOPUS:85087407676
SN - 0036-8504
VL - 103
JO - Science Progress
JF - Science Progress
IS - 3
ER -