软计算求解分布式多工厂多顾客的供应链准时化生产计划问题  

Soft Computing for JIT Production Planning of Supply Chain of Multi-location Manufacturing Systems

作　　者：周金宏[1] 汪定伟[1] 徐洋[1] 

机构地区：[1]东北大学信息科学与工程学院,辽宁沈阳110004

出　　处：《控制与决策》2001年第6期894-897,共4页Control and Decision

基　　金：国家自然科学基金项目 (6 96 84 0 0 5 );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、多顾客的供应链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数学模型 ,将遗传算法与模糊逻辑相结合 ,设计了软计算方法求解模型 ,采用基于规则方法的模糊规则量化方法求解模糊决策 ,并将模糊决策嵌入遗传算法 ,使得算法具有比分枝定界法更快的寻优能力和更广的适应范围。JIT production planning for supply chain of 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 transportation costs. By using the fuzzy rule quantification method, a fuzzy logic based decision making approach is proposed to improve the computational performance. A fuzzy decision embedded genetic algorithm is developed. The results show that it can get a satisfactory solution.

关 键 词：软计算 模糊逻辑 遗传算法 供应链管理 准时化生产 单件制造业 

分 类 号：F407.4[经济管理—产业经济] O224[理学—运筹学与控制论]