The Supplier Selection of Prefabricated Component Production Line: A Lean-Based AHP–Improved VIKOR Framework

Prefabrication is increasingly recognized as a sustainable construction practice, with the efficiency of prefabricated component (PC) production lines playing a critical role in its success. However, supplier selection for PC production lines has become more complex due to evolving industrial demands, uncertain supply chain conditions, and operational complexities. This study addresses this gap by developing a lean-based AHP–improved VIKOR decision-making framework to enhance the supplier selection for PC production lines. The framework integrates advanced lean principles with universal and specific evaluation criteria, identified through a comprehensive literature review and expert interviews. Its validity was tested via a real-world case study with Yizhong Construction Co., Ltd., Tianjin, China. The results show that the three suppliers are ranked as Zhongjian > Tianyi > Xindadi, where Zhongjian is the best supplier in this case study, with a VIKOR index of 0.156. The findings show that the developed framework can improve the supplier selection efficiency by aligning with lean principles and enhancing the performance of PC production lines. By addressing the challenges of PC supplier selection, this study provides a practical tool to advance the adoption of prefabrication in construction. Furthermore, it contributes to the development of the PC industry by offering a robust method for the selection of suitable suppliers, which can help to optimize the production efficiency and support sustainable practices in construction.

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Publication Details

Journal
Buildings
Published
2024-12-18
DOI
https://doi.org/10.3390/buildings14124018
Citations
3
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
1.05
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article

The Supplier Selection of Prefabricated Component Production Line: A Lean-Based AHP–Improved VIKOR Framework

Hui Gao, Linna Geng, Pei Dang, Zhanwen Niu et al.
3 citations
Buildings
Advanced Manufacturing and Logistics Optimization
1.05
article

The Supplier Selection of Prefabricated Component Production Line: A Lean-Based AHP–Improved VIKOR Framework

Hui Gao, Linna Geng, Pei Dang, Zhanwen Niu, Felix Kin Peng Hui, Chao Sun
article en
3 citations

Abstract

Prefabrication is increasingly recognized as a sustainable construction practice, with the efficiency of prefabricated component (PC) production lines playing a critical role in its success. However, supplier selection for PC production lines has become more complex due to evolving industrial demands, uncertain supply chain conditions, and operational complexities. This study addresses this gap by developing a lean-based AHP–improved VIKOR decision-making framework to enhance the supplier selection for PC production lines. The framework integrates advanced lean principles with universal and specific evaluation criteria, identified through a comprehensive literature review and expert interviews. Its validity was tested via a real-world case study with Yizhong Construction Co., Ltd., Tianjin, China. The results show that the three suppliers are ranked as Zhongjian > Tianyi > Xindadi, where Zhongjian is the best supplier in this case study, with a VIKOR index of 0.156. The findings show that the developed framework can improve the supplier selection efficiency by aligning with lean principles and enhancing the performance of PC production lines. By addressing the challenges of PC supplier selection, this study provides a practical tool to advance the adoption of prefabrication in construction. Furthermore, it contributes to the development of the PC industry by offering a robust method for the selection of suitable suppliers, which can help to optimize the production efficiency and support sustainable practices in construction.

BuildingsVol. 14(12)
Tianjin University (CN), The University of Melbourne (AU), Tianjin Chengjian University (CN), Liaoning Technical University (CN), Western Sydney University (AU)
Industry, innovation and infrastructure
Openalex Percentile: Top 19%
Advanced Manufacturing and Logistics Optimization
1.05
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