Optimization of high-end equipment development task process influenced by multiple uncertainty factors

被引：0
|
作者：
Zhang X. [1 ,2 ]
Tan Y. [1 ]
Yang Z. [1 ]
机构：
[1] College of Systems Engineering, National University of Defense Technology, Changsha
[2] Business School, Jiangsu Normal University, Xuzhou
来源：
Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice | 2019年 / 39卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Design structure matrix; High-end equipment development task; Multiobjective optimization; NSGA-III; Process optimization;
D O I：
10.12011/1000-6788-2017-1698-10
中图分类号：
学科分类号：
摘要：
The simulation model of high-end equipment development task is established based on design structure matrix, and Monte Carlo method is used to simulate the execution process of the development task. The simulation outputs are used to estimate the duration, cost, failure rate and other parameters of the development task. The development task simulation is embedded into multi-objective optimization algorithm, and each individual corresponding development task process is simulated many times. The average duration, cost and failure rate of simulation outputs are used as fitness evaluation indexes. Multi-objective optimization algorithm is constructed based on non-dominated sorting genetic algorithm-III (NSGA-III), the Pareto optimal solution set is obtained by running optimization algorithm. More simulations for the development task process of each Pareto optimal solution are carried out, and the development task processes are deeply analyzed and evaluated. Finally, an uninhabited combat aerial vehicle development task is taken as an example to study the application, and the optimization result of this paper are compared with the data in the literature. The effectiveness and superiority of the proposed method are verified. © 2019, Editorial Board of Journal of Systems Engineering Society of China. All right reserved.
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页码：725 / 734
页数：9
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