Two-stage fuzzy optimization of an MPMP production planning model

被引：0
|
作者：
Yuan, Guo-Qiang [1 ]
Liu, Yan-Kui [1 ]
机构：
[1] Hebei Univ, Coll Math & Comp Sci, Baoding 071002, Hebei, Peoples R China
来源：
PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2006年
基金：
中国国家自然科学基金;
关键词：
production planning; credibility theory; two-stage fuzzy optimization; genetic algorithm;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Based on credibility theory and two-stage fuzzy optimization method, this paper presents a class of multi-product multi-period (MPMP) production planning problem. Some basic properties about the two-stage production-planning model are discussed. In addition, a heuristic algorithm, which combines fuzzy simulations and genetic algorithm (GA), is designed to solve the production planning problem, and a numerical example about the three-product three-period production planning problem is given to show the feasibility of the algorithm.
引用
收藏
页码：1685 / +
页数：3
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