软计算求解分布式多工厂单件制造业的提前/拖期生产计划问题  

Soft Computing for Earliness and Tardiness Production Planning of Multi-location OKP Manufacturing Systems

作　　者：周金宏[1] 汪定伟[1] 

机构地区：[1]东北大学信息科学与工程学院系统工程系,沈阳110006

出　　处：《控制理论与应用》2002年第2期235-238,共4页Control Theory & Applications

基　　金：国家自然科学基金 (696840 0 5 );863计划CIMS主题(863 -5 11-9844 -0 11);西安交通大学机械制造系统工程国家重点实验室资助项目

摘　　要：描述了分布式多工厂单件制造企业准时化生产计划问题 ,以实现最小化提前 /拖期惩罚费用、生产成本、产品运输费用之和为目标建立了 0 - 1规划数学模型 ;设计了基于模糊规则量化的方法求解模糊决策 ,并将模糊决策嵌入到遗传算法中的软计算方法求解模型 ,使得算法具有比分枝定界法更快速的寻找优解的能力以及更广泛的适应范围 .Earliness and tardiness production planning with due_date for multi_location OKP manufacturing systems is studied and a linear 0-1 programming model is proposed. The objective is to find an optimal scheduling and to minimize the total sum of earliness and tardiness penalties, production costs and transport costs. By using the fuzzy rule quantification method, a fuzzy logic based decision making approach is proposed to improve the computational performance. Then a fuzzy decision embedded genetic algorithm is developed. The results demonstrate that it can get a satisfactory solution and have potential to practical production applications.

关 键 词：软计算 模糊逻辑 遗传算法 分布式多工厂 提前/拖期生产计划 单件制造业 供应链 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]