A grey STA-GERT quality evaluation model for complex products based on manufacture-service dual-network. Issue 2 (29th July 2014)

• Record Type: Journal Article
• Authors: Naiming Xie, Dr Yingjie Yang and Dr Chuanmin Mi, Professor; Xu, Ruiting; Fang, Zhigeng; Sun, Jinyu
• Is Part Of: Grey systems. Volume 4:Issue 2(2014)
• Page Start: 195
• Page End: 206
• Publication Date: 2014-07-29
• Subjects: Cybernetics -- Periodicals; Systems engineering -- Periodicals; 003.5
• DOI: 10.1108/GS-05-2014-0018
• Languages: English
• ISSNs: 2043-9377

Abstract

<abstract> <title> <x content-type="archive" xml:space="preserve">Abstract</x> </title> <sec> <title content-type="abstract-heading">Purpose</title> <p> – 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. </p> </sec> <sec> <title content-type="abstract-heading">Design/methodology/approach</title> <p> – 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. </p> </sec> <sec> <title content-type="abstract-heading">Findings</title> <p> – 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. </p> </sec> <sec> <title content-type="abstract-heading">Originality/value</title> <p> – 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.</p> </sec> </abstract>