Ant Colony System for a Fuzzy Adjacent Multiple-Level Warehouse Layout Problem

被引：1
|
作者：
张强 [1 ]
余英姿 [2 ]
黎建强 [3 ]
机构：
[1] School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
[2] Department of Information and Computation Science, Nanchang Institute of Aeronautical Technology, Nanchang 330063, China
[3] Department of Management Sciences, City University of Hong Kong, Hong Kong, China
来源：
Journal of Beijing Institute of Technology | 2006年 / 04期
基金：
中国国家自然科学基金;
关键词：
warehouse layout problem; ant colony system; expected value of fuzzy variable; adjacent; multiple-level;
D O I：
10.15918/j.jbit1004-0579.2006.04.026
中图分类号：
F224 [经济数学方法];
学科分类号：
0701 ; 070104 ;
摘要：
A warehouse layout problem where the warehouse has more than one level and both the distance from the cell to the receive/exit bay and demand of item types are fuzzy variables is proposed. The problem is to find a layout with the minimum transportation cost subject to adjacency and other constraints. A fuzzy expected value model is given and an ant colony system is designed to solve the problem. Computational results indicate the efficiency and effectiveness of the method.
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页码：500 / 504
页数：5
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