Two-Stage Fuzzy Optimization of an MPMP Production Planning Model

Author

Yuan, Guo-qiang ; Liu, Yan-Kui

Author_Institution

Coll. of Math. & Comput. Sci., Hebei Univ.

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

1685

Lastpage

1690

Abstract

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

Keywords

fuzzy set theory; genetic algorithms; production planning; credibility theory; fuzzy simulation; genetic algorithm; heuristic algorithm; multiproduct multiperiod production planning problem; two-stage fuzzy optimization; Algorithm design and analysis; Chromium; Cybernetics; Fuzzy systems; Genetic algorithms; Linear programming; Machine learning; Manufacturing systems; Mathematical model; Optimization methods; Production planning; Stochastic processes; Uncertainty; Production planning; credibility theory; genetic algorithm; two-stage fuzzy optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.258907

Filename

4028336