%0 Journal Article
%T Soft Computing for Earliness and Tardiness Production Planning of Multi-location OKP Manufacturing Systems<br>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
%A ZHOU Jinhong
%A WANG Dingwei
%A <br>周金宏
%A 汪定伟
%J 控制理论与应用
%D 2002
%I 
%X 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.
%K soft computing
%K fuzzy logic
%K genetic algorithm
%K multi-location planning
%K earliness and tardiness production planning
%K one kind of production (OKP)
%K supply chain<br>软计算
%K 模糊逻辑
%K 遗传算法
%K 分布式多工厂
%K 提前/拖期生产计划
%K 单件制造业
%K 供应链
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=FD6A4ACA12D61CD58BE4F0646D77DD5F&yid=C3ACC247184A22C1&vid=2A8D03AD8076A2E3&iid=0B39A22176CE99FB&sid=6CCE24D86D03D083&eid=9CA95D22FC1D537C&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=2&reference_num=0