Research on Contractor Selection for Grey Plaster Decoration Engineering of Cultural Relic Buildings Based on the BWM-TODIM Method

Grey plastic is a representative traditional architectural decoration craft in the Lingnan region in China, carrying rich historical and cultural values as well as distinctive regional artistic characteristics. However, the grey plastic craft is currently facing problems such as inheritance gaps and a shortage of craftsmen, and its restoration projects impose extremely high professional requirements on contractors. Existing contractor selection methods are mostly applicable to ordinary construction projects and are difficult to adapt to its particularity, which may easily lead to risks such as substandard restoration quality. Therefore, this paper proposes a contractor selection method for grey plastic decoration projects of cultural relic buildings based on the BWM-TODIM method. Firstly, an evaluation system covering six core criteria is constructed; secondly, the BWM is adopted to determine the criteria weights; thirdly, the TODIM method is used to characterize the decision-makers’ loss aversion psychology and rank the candidate contractors; finally, an empirical analysis is conducted with a grey plastic restoration project in Lingnan as a case to verify the feasibility and effectiveness of the method. This study can provide decision support for the scientific selection of contractors for grey plastic decoration projects and contribute to the sustainable protection of cultural heritage. The scope of this study is limited to contractor selection for grey plaster decoration engineering of cultural relic buildings.

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Publication Details

Journal
Buildings
Published
2026-03-20
DOI
https://doi.org/10.3390/buildings16061241
Primary Topic
Multi-Criteria Decision Making
Type
article
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article

Research on Contractor Selection for Grey Plaster Decoration Engineering of Cultural Relic Buildings Based on the BWM-TODIM Method

Xiaoying Huang, Tian Yang, Xinwen Deng, Jianqiang Wang et al.
Buildings
Multi-Criteria Decision Making
article

Research on Contractor Selection for Grey Plaster Decoration Engineering of Cultural Relic Buildings Based on the BWM-TODIM Method

Xiaoying Huang, Tian Yang, Xinwen Deng, Jianqiang Wang, Hengyi Chen, Yu Qiao, Le Gao
article en

Abstract

Grey plastic is a representative traditional architectural decoration craft in the Lingnan region in China, carrying rich historical and cultural values as well as distinctive regional artistic characteristics. However, the grey plastic craft is currently facing problems such as inheritance gaps and a shortage of craftsmen, and its restoration projects impose extremely high professional requirements on contractors. Existing contractor selection methods are mostly applicable to ordinary construction projects and are difficult to adapt to its particularity, which may easily lead to risks such as substandard restoration quality. Therefore, this paper proposes a contractor selection method for grey plastic decoration projects of cultural relic buildings based on the BWM-TODIM method. Firstly, an evaluation system covering six core criteria is constructed; secondly, the BWM is adopted to determine the criteria weights; thirdly, the TODIM method is used to characterize the decision-makers’ loss aversion psychology and rank the candidate contractors; finally, an empirical analysis is conducted with a grey plastic restoration project in Lingnan as a case to verify the feasibility and effectiveness of the method. This study can provide decision support for the scientific selection of contractors for grey plastic decoration projects and contribute to the sustainable protection of cultural heritage. The scope of this study is limited to contractor selection for grey plaster decoration engineering of cultural relic buildings.

BuildingsVol. 16(6)
Central South University (CN), Sun Yat-sen University (CN), Jinan University (CN), Guangzhou University (CN), Guangzhou Vocational College of Science and Technology (CN)
Sustainable cities and communities
Openalex Percentile: Top 16%
Multi-Criteria Decision Making
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