A Two-Stage Fuzzy Dynamic Capacity Acquisition and Assignment Model with Minimum Risk Criteria

Author

Yuan, Guo Qiang ; Meng, Ming Qiang

Author_Institution

Fundamental Dept., Hebei Coll. of Finance, Baoding, China

Volume

6

fYear

2009

fDate

14-16 Aug. 2009

Firstpage

62

Lastpage

67

Abstract

Based on credibility theory and two-stage fuzzy optimization method, this paper presents a new class of dynamic capacity acquisition and assignment model. Then we deal with the approximation of fuzzy two-stage dynamic capacity acquisition and assignment problem. After that, a heuristic algorithm, which combines approximation approach, neural network (NN) and simulated annealing (SA), is designed to solve this dynamic capacity acquisition and assignment problem, and a numerical example is given to show the feasibility and effectiveness of the designed algorithm.

Keywords

approximation theory; capacity planning (manufacturing); fuzzy set theory; neural nets; simulated annealing; approximation approach; credibility theory; fuzzy dynamic capacity acquisition; fuzzy dynamic capacity assignment; fuzzy optimization method; heuristic algorithm; minimum risk criteria; neural network; simulated annealing; Algorithm design and analysis; Approximation algorithms; Capacity planning; Distributed control; Educational institutions; Fuzzy systems; Heuristic algorithms; Neural networks; Stochastic systems; Uncertainty; Capacity expansion; approximation approach; credibility theory; simulated annealing; two-stage fuzzy optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on

Conference_Location

Tianjin

Print_ISBN

978-0-7695-3735-1

Type

conf

DOI

10.1109/FSKD.2009.656

Filename

5359794