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Evaluating and selecting the supplier in prefabricated megaprojects using extended fuzzy TOPSIS under hesitant environment: a case study from China

Ru Liang (School of Management, Shanghai University, Shanghai, China)
Rui Li (School of Management, Shanghai University, Shanghai, China)
Xue Yan (School of Finance, Nanjing Audit University, Nanjing, China)
Zhenzhen Xue (School of Management, Shanghai University, Shanghai, China)
Xin Wei (School of Management, Shanghai University, Shanghai, China)

Engineering, Construction and Architectural Management

ISSN: 0969-9988

Article publication date: 16 February 2022

Issue publication date: 24 May 2023

281

Abstract

Purpose

Prefabricated components sustainable supplier (PCSS) selection is critical to the success of prefabricated projects. However, limited studies have addressed the uncertainty and complexities during the selection process, particularly in multi-criterion group decision-making (MCGDM) circumstances. Hence, the research aims to develop a group decision-making model using a modified fuzzy MCGDM approach for PCSS selection under uncertain situation.

Design/methodology/approach

The proposed study develops a framework for sorting decisions in PCSS selection by using the hesitant fuzzy technique for order preference by similarity to ideal solution (HF-TOPSIS) method. The maximum consistency (MC) model is used to calculate the weights of decision makers (DMs) based on the cardinality and sequence of decision data.

Findings

The proposed framework has been successfully applied and illustrated in the case example of CB01 contract section in Hong Kong-Zhuhai-Macao Bridge (HZMB) megaproject. The results show various complicated decision-making scenarios can be addressed through the proposed approach. The MC model is able to calculate the weights of DMs based on the cardinality and sequence of decision data.

Originality/value

The research contributes to improving accuracy and reliability decision-making processes for PCSS selection, especially under hesitant and fuzzy situations in prefabricated megaprojects.

Keywords

Acknowledgements

The authors would like to thank the anonymous referees and Editor-in-chief very much for their valuable comments and suggestion. This work was partly supported by the National Natural Science Foundation of China (Nos. 72101141 and 72001112).

Competing interests: The authors declare that there is no conflict of interests regarding the publication of this paper.

Citation

Liang, R., Li, R., Yan, X., Xue, Z. and Wei, X. (2023), "Evaluating and selecting the supplier in prefabricated megaprojects using extended fuzzy TOPSIS under hesitant environment: a case study from China", Engineering, Construction and Architectural Management, Vol. 30 No. 5, pp. 1902-1931. https://doi.org/10.1108/ECAM-09-2021-0793

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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