Quality Risk Control for GSC Dynamic Alliance in Large-Scale Construction Projects

Author

Lu Gan ; Qiong Shen ; Dirong Xu ; Wen Wang

Author_Institution

Coll. of Archit. & Urban-Rural Planning, Sichuan Agric. Univ., Dujiangyan, China

fYear

2014

fDate

4-6 July 2014

Firstpage

631

Lastpage

635

Abstract

This paper discusses dynamic alliance (DA) as a form of global supply chain (GSC) and how to develop its quality risk control technology based on 5M1E analysis through fuzzy relation model. A solution method based on genetic algorithm (GA) is proposed to obtain the solution of the proposed model. Finally, a case study of a large-scale water conservancy and hydropower construction project is used with the proposed model. The result of the case problem reveals the validity of the solution method. The sensitivity analysis for the forecasted effects under differing significance levels shows the excellent forecasted effect of our proposed model.

Keywords

civil engineering; forecasting theory; fuzzy set theory; genetic algorithms; project management; quality control; risk analysis; supply chains; 5M1E analysis; GSC dynamic alliance; forecasted effects; fuzzy relation model; genetic algorithm; global supply chain; hydropower construction projects; quality risk control technology; sensitivity analysis; water conservancy; Analytical models; Genetic algorithms; Hydroelectric power generation; Predictive models; Quality management; Standards; Water conservation;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Sciences and Optimization (CSO), 2014 Seventh International Joint Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4799-5371-4

Type

conf

DOI

10.1109/CSO.2014.151

Filename

6923763