摘要
针对大规模定制模式下的产品配置问题,确立了产品订单的量化数学模型,算法将订单的配置过程分为确定各目标权重、降低算法空间复杂度、多目标寻优等3个阶段,从而达到优化配置的目的。仿真结果表明,算法具有较好的收敛性,适合在大规模定制技术模式下解决多目标优化问题。
To deal with product configuration in mass customization production, a mathematical model and an ant colony algorithm based on fuzzy comprehensive evaluation are established. The method divides the configuration process into three layers, which determine the weights of sub-objective functions, decrease the complexity of configuration space, and multi-objective optimization problem. The method can serve the purpose of optimizing the product configuration.
出处
《上海电机学院学报》
2012年第3期177-183,共7页
Journal of Shanghai Dianji University
基金
国家自然科学基金项目资助(61171173)
关键词
产品配置
蚁群算法
层次分析法
多目标优化
大规模定制
product configuration（PC）
ant colony algorithm
analytic hierarchy process（AHP）
multi-objective potimization
mass customization（MC）
