Fuzzy multi-product constraint newsboy problem

被引:66
作者
Shao, Zhen
Ji, Xiaoyu [1 ]
机构
[1] Tsing Hua Univ, Dept Math Sci, Beijing 100084, Peoples R China
[2] Chinese Acad Sci, Grad Sch, Sch Management, Beijing 100080, Peoples R China
基金
高等学校博士学科点专项科研基金; 中国国家自然科学基金;
关键词
newsboy problem; single-period inventory; genetic algorithm; fuzzy programming;
D O I
10.1016/j.amc.2005.11.123
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we consider the multi-product newsboy problem with fuzzy demands under budget constraint. Since the demands of products are often fuzzy in real life, the profit of the newsboy is fuzzy too. We develop three types of models under different criteria: EVM model, DCP model and CCP model. In these models, the objective functions are to maximize the expected profit of newsboy, the chance of achieving a target profit and the profit which satisfies some chance constraints with at least some given confidence level, respectively. Furthermore, the hybrid intelligent algorithm based on genetic algorithm and fuzzy simulation is designed for these models. And some illustrating examples are given in order to show the application of these proposed models and algorithm. (c) 2006 Published by Elsevier Inc.
引用
收藏
页码:7 / 15
页数:9
相关论文
共 21 条
[21]  
Zadeh L. A., 1978, Fuzzy Sets and Systems, V1, P3, DOI 10.1016/0165-0114(78)90029-5