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A Fuzzy Programming Model of Supplier Selection

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Abstract:

An integrated supplier selection problem under fuzzy environment is studied in this paper. Firstly, the linear weight method is used to calculate the scores of suppliers according to their different attributes, such as: quality, service, warranty, delivery, reputation and position, which are assumed as fuzzy variables. Secondly, a fuzzy expected value programming model and a fuzzy chance-constrained programming model are proposed to select the best combination of the suppliers and determine the order quantities. A hybrid intelligent algorithm, based on fuzzy simulation, genetic algorithm and neural network, is used to solve the two models. Finally, a numerical example is given to illustrate the effectiveness of the proposed models.

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Info:

Periodical:

Advanced Materials Research (Volumes 468-471)

Pages:

668-673

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.468-471.668

Citation:

Cite this paper

Online since:

February 2012

Authors:

Hua Jiang, Zhi Gang Lu

Keywords:

Fuzzy Variable, Intelligent Algorithm, Supplier Selection, Supply Chain

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