Analysis of revenue distribution of assembly building under EPC model based on entropy weight-TOPSIS improved Shapley value

Prefabricated construction has rapidly developed due to its efficiency and environmental benefits. With the widespread application of the EPC (Engineering, Procurement, and Construction) model, achieving fair and reasonable distribution of profits in prefabricated construction projects under this model has become an urgent issue that needs to be addressed. In response to the limitations of the traditional Shapley value method, this paper introduces input factors, technological factors, and management factors to develop an improved profit distribution model based on entropy-weighted TOPSIS and the Shapley value. A case study is presented to validate the model. Results of the study show that the improved Shapley value method balances the earnings with the actual contribution and achieves a fair and reasonable earnings distribution.

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Publication Details

Journal
BioResources
Published
2024-11-13
DOI
https://doi.org/10.15376/biores.20.1.322-330
Citations
3
Primary Topic
Evaluation and Optimization Models
Type
article
Field-Weighted Citation Impact
1.09
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article

Analysis of revenue distribution of assembly building under EPC model based on entropy weight-TOPSIS improved Shapley value

Zeli Que, Shuo Wang, Yanming Yue
3 citations
BioResources
Evaluation and Optimization Models
1.09
article

Analysis of revenue distribution of assembly building under EPC model based on entropy weight-TOPSIS improved Shapley value

Zeli Que, Shuo Wang, Yanming Yue
article en
3 citations

Abstract

Prefabricated construction has rapidly developed due to its efficiency and environmental benefits. With the widespread application of the EPC (Engineering, Procurement, and Construction) model, achieving fair and reasonable distribution of profits in prefabricated construction projects under this model has become an urgent issue that needs to be addressed. In response to the limitations of the traditional Shapley value method, this paper introduces input factors, technological factors, and management factors to develop an improved profit distribution model based on entropy-weighted TOPSIS and the Shapley value. A case study is presented to validate the model. Results of the study show that the improved Shapley value method balances the earnings with the actual contribution and achieves a fair and reasonable earnings distribution.

BioResourcesVol. 20(1)
Nanjing Forestry University (CN)
Openalex Percentile: Top 22%
Evaluation and Optimization Models
1.09
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Analysis of revenue distribution of assembly building under EPC model based on entropy weight-TOPSIS improved Shapley value — Zeli Que, Shuo Wang, et al. · BioResources (2024) | TGRS Research Map | TGRS