摘要
传统的流程企业生产计划研究缺少大系统建模方法和相应的优化算法,而且多为单目标、确定性模型,使生产计划缺乏应有的灵活性。提出了一种新的流程企业生产计划的优化方法,将投入产出分析与模糊相关机会目标规划结合,建立流程企业生产计划的模糊优化模型,并使用基于模糊模拟、神经元网络和遗传算法的混合智能算法进行求解。
The traditional research on the production planning in process manufacturing is lack of modeling method for complicated system, and most of the production methods are single-objective and certain optimization method, so current production planning system is lack of flexibility. In this paper, we propose a new optimization method combining input-output analysis with fuzzy dependant-chance goal programming, and built a fuzzy optimization model of production planning. A fuzzy simulation, neural networks and genetic algorithm-based integrated intellective algorithm is presented to solve the problem.
出处
《信息技术》
2005年第7期121-122,143,共3页
Information Technology
关键词
流程企业
生产计划
模糊相关机会目标规划
混合智能算法
process manufacturing
production planning
fuzzy dependant-chance goal programming
integrated intelligent algorithm