A grey STA-GERT quality evaluation model for complex products based on manufacture-service dual-network
Abstract
Purpose
The purpose of this paper is to find out a scientific method to evaluate quality of complex products, whose quality is different from general products.
Design/methodology/approach
Based on interval grey number theory, reliability analysis method and stochastic network theory, authors have established grey success tree analysis-graph evaluation and review technique (GSTA-GERT) model in this paper.
Findings
Comparing complex products and general products, authors have found that complex products have two characters, i.e. quality of manufacture and quality of service. Furthermore, this paper has proved the GSTA-GERT model is a scientific and reasonable approach to estimate quality of complex products from the sight of manufacture-service network.
Originality/value
This paper has established GSTA-GERT model, which surmounts the defect of traditional estimation method, such as lacking logic analysis in the method of analytic hierarchy process.
Keywords
Acknowledgements
The authors thank all readers for their interests in this paper. The authors thank all editors for their reading and suggestions. In the end, the authors thank the National Social Science Foundation of China for financial support (Grant No. 12AZD102).
Citation
Xu, R., Fang, Z. and Sun, J. (2014), "A grey STA-GERT quality evaluation model for complex products based on manufacture-service dual-network", Grey Systems: Theory and Application, Vol. 4 No. 2, pp. 195-206. https://doi.org/10.1108/GS-05-2014-0018
Publisher
:Emerald Group Publishing Limited
Copyright © 2014, Emerald Group Publishing Limited