计算机应用研究2016，Vol.33Issue(6)：1739-1742,1747,5.DOI:10.3969/j.issn.1001-3695.2016.06.031
产品设计方案费效权衡的随机机会约束规划模型
Stochastic chance-constrained programming of product design cost-effective trade-off
摘要
Abstract
The uncertainty problems in the production process often affected the result of cost-effective trade-offs for product design scheme.To solve this problem,this paper introduced uncertainty optimization theory to the decision-making of cost-effec-tive trade-offs.Considering uncertainty problems of the production process in the decision-making of product design scheme, and on the basis of sensitivity analysis of key performance parameters,this paper described the sensitivity variables and cost estimates deviation as random variables,and then built the stochastic chance-constrained programming model.Then it obtained the optimal solution with Monte Carlo simulation combined genetic algorithm (MCS-GA).In the end,through an example with the concrete pump truck,the results show that the design program traded-off with stochastic programming model can better reflect the actual production,so the product design targets of under uncertain conditions can be achieved at the maximum extent.关键词
产品设计方案/随机机会约束规划/不确定性/费效权衡Key words
product design scheme/stochastic chance-constrained programming/uncertainty/cost-effective trade-off分类
管理科学引用本文复制引用
程晓娟,韩庆兰..产品设计方案费效权衡的随机机会约束规划模型[J].计算机应用研究,2016,33(6):1739-1742,1747,5.基金项目
国家自然科学基金资助项目（71172101）；湖南省教育厅资助项目 （）
