模糊环境下批量制造业提前/拖期交货的生产计划  

The Production Planning for Lot Size Manufacturing Systems with Earliness/Tardiness Due Date in Fuzzy Environments

作　　者：郭增晓[1] 孙娜[2] 刘学军[1] 赵建华[1] 

机构地区：[1]石家庄学院数学系,河北石家庄050035 [2]清华大学数学科学系,北京100084

出　　处：《数学的实践与认识》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)

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.

关 键 词：生产计划 准时化生产 模糊需求 模糊规划 遗传算法 

分 类 号：F224[经济管理—国民经济]