Extension of an algorithm for product mix problems with fuzzy conditions

被引：2
|
作者：
Kaveh, Mojtaba [1 ]
Dalfard, Vahid Majazi [2 ]
Karami, Golnaz [3 ]
机构：
[1] Islamic Azad Univ, Dept Business Adm, Firoozabad Branch, Firoozabad, Iran
[2] Islamic Azad Univ, Young Researchers & Elites Club, Kerman Branch, Kerman, Iran
[3] Islamic Azad Univ, Dept Ind Engn, South Branch, Tehran, Iran
来源：
APPLIED MATHEMATICAL MODELLING | 2013年 / 37卷 / 23期
关键词：
Revised theory of constraints; Product mix; Genetic algorithm; Fuzzy conditions; CONSTRAINTS; DECISION;
D O I：
10.1016/j.apm.2013.05.018
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In the real world of production, there are some uncertain parameters such as capacity, profit, and processing time. On the other hand, the fuzzy sets theory is applied as a suitable tool for managing production where dynamicity of the production environment prevents from determining target function, constraints and other parameters of the model. In this paper, a genetic algorithm embedded in fuzzy revised theory of constraints is presented for product mix problems. Results of implementing the proposed algorithm show efficiency and flexibility of this algorithm. (C) 2013 Elsevier Inc. All rights reserved.
引用
收藏
页码：9688 / 9697
页数：10
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