摘要
描述了基于客户需求为模糊量的批量生产提前/拖期交货的生产计划,并建立了模糊环境下的三个模型.为了有效求解优化模型,我们将模糊模拟和遗传算法相结合给出了混合智能算法.最后通过数值例子说明算法的有效性.
Production planning with fuzzy demands is described, and three types of fuzzy programming model are proposed. For solving these fuzzy models, fuzzy simulation and genetic algorithm are integrated to produce a hybrid intelligent algorithm, and a numerical example is given to illustrate its effectiveness.
出处
《数学的实践与认识》
CSCD
北大核心
2006年第5期65-72,共8页
Mathematics in Practice and Theory
基金
国家自然科学基金(60425309)
关键词
生产计划
准时化生产
模糊需求
模糊规划
遗传算法
production planning
just-in-time production
fuzzy demand
fuzzy programming
genetic algorithm
