A hybrid group decision model for green supplier selection: a case study of megaprojects
Engineering, Construction and Architectural Management
ISSN: 0969-9988
Article publication date: 10 May 2019
Issue publication date: 30 August 2019
Abstract
Purpose
Green supplier selection is one of the crucial activities in green supply chain management. However, limited studies have addressed the vagueness and complexities during the selection process, particularly in multi-criterion decision-making (MCDM) circumstances. Hence, the purpose of this paper is to develop a group decision model using a modified fuzzy MCDM approach for green supplier selection under a complex situation.
Design/methodology/approach
The proposed study develops a framework for sorting decisions in green supplier selection by using the hesitant fuzzy qualitative flexible multiple attributes method (QUALIFLEX). The synthetic consistent or inconsistent indexes were used to calculate all alternative suppliers by normalizing the hesitant fuzzy decision matrix.
Findings
The proposed framework has been successfully applied and illustrated in the case example of CB02 contract section in Hong Kong–Zhuhai–Macau Bridge project. The results show various complicated decision-making scenarios can be addressed through the proposed approach. The synthetic (in)consistent indexes are able to calculate all alternative suppliers by normalizing the hesitant fuzzy decision matrix.
Originality/value
The research contributes to improving accuracy and reliability decision-making processes for green supplier selection, especially under vagueness and complex situations in megaprojects.
Keywords
Acknowledgements
Data availability statement: Data generated or analyzed during the study are available from the first author by request.
Citation
Liang, R. and Chong, H.-Y. (2019), "A hybrid group decision model for green supplier selection: a case study of megaprojects", Engineering, Construction and Architectural Management, Vol. 26 No. 8, pp. 1712-1734. https://doi.org/10.1108/ECAM-10-2018-0462
Publisher
:Emerald Publishing Limited
Copyright © 2019, Emerald Publishing Limited