期刊
COMPUTERS & INDUSTRIAL ENGINEERING
卷 43, 期 3, 页码 605-621出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/S0360-8352(02)00129-8
关键词
integrated machine selection; operation sequencing; genetic algorithm
In this paper, an integrated machine tool selection and sequencing model is proposed. The model determines machine visiting sequences for all part types, such that the total production time for the production order is minimized and workloads among machine tools are balanced. The model is formulated as a 0-1 integer programming. To solve the model, a genetic algorithm approach based on a topological sort technique is developed. To demonstrate the efficiency of the proposed GA approach on the integrated machine tool selection and sequencing problem, a number of numerical experiments using various size problems are carried out. The numerical experiments show that the proposed GA approach is efficient to this problems. (C) 2002 Published by Elsevier Science Ltd.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据