In recent years, there has been a rapid development of prefabricated housing in China. However, the lack of systematic control and management over the costs of prefabricated housing has resulted in a significant increase in expenses. This has hindered the further advancement of prefabricated housing.In order to solve this problem, this paper uses literature analysis to identify the factors affecting the cost of prefabricated housing and revises and supplements the indicators by means of questionnaire survey and expert interview. Then GRA-TOPSIS method is used to comprehensively consider the correlation degree between the factors affecting the cost of prefabricated housing and the close degree to the best solution. Order the weight and importance of each factor. It provides decision basis for cost optimization and control.

Chu Chenhui, Li Guohui. Study on evaluation of influencing factors of prefabricated housing cost. Academic Journal of Business & Management (2024) Vol. 6, Issue 1: 208-214. https://doi.org/10.25236/AJBM.2024.060130.

[1] Wang Guoqiang. Research and Exploration of prefabricated Steel structure residential design in China [J]. China Building Metal Structure, 2021(05):66-67

[2] Yang Chuang, Liu Xiang. Analysis of existing problems and countermeasures of prefabricated housing in China [J]. Building Technology, 2016, 47(04):301-304

[3] Huang Ze, Yang Lihuan, He Haiqu, et al. Comparative analysis of scoring items and indexes of prefabricated building evaluation criteria [J]. Building Structure, 2020,50(17):13-20+6.2020.17.003

[4] WANG Yousong, Meng Guanguo, Yan Hui et al. Economic benefit analysis of prefabricated residential design and construction stage [J]. Journal of Engineering Management,2018,32(02):18-23

[5] LIU Guoqiang, Qi Yuan, Ji Yingbo, Wang Zeng, LI Yanyao. Research on identification and evaluation criteria of Influencing Factors of prefabricated building construction cost under EPC model [J]. Construction Economics, 2019,40(05):86-92

[6] Luo LAN, Wu Xia, Huang Wei. Analysis of Influencing factors of prefabricated construction cost based on FCM [J]. Construction Economics, 2020, 41(S2):77-82

[7] Lou N, Guo J .Study on Key Cost Drivers of Prefabricated Buildings Based on System Dynamics [J]. Advances in Civil Engineering, 2020

[8] WEI Hongliang, Niu Changlin, Liu Fujiang, Wu Xingrong, Qi Shengwang. Analysis of influence factors on cost of prefabricated components for prefabricated buildings based on DEMATEL-AISM method [J]. Construction Economics, 2021, 42(10):83-88

[9] Peng J, Zhou J, Meng F,et al. Analysis on the hidden cost of prefabricated buildings based on FISM-BN [J]. PLOS ONE, 2021, 16

[10] Luo Xiang, Huang Xibing. Research on cost control of prefabricated buildings based on ISM [J]. Construction Economics, 2021, 42(11):73-77

[11] Li N, Fan Z .Impact Evaluation of Prefabricated Buildings Cost on Game Theory-Cloud Model [J]. Journal of Mathematics, 2022.

[12] Lv Zheqi, Sun Hongliang, Wen Dongyao, Bai Jingyu, Shi Jian, ZHANG Guangshuai, Sun Heng, Wang Zhexu. Study on Influencing factors of prefabricated construction cost in Jilin Province from the perspective of whole life cycle [J]. Construction Economics, 2022, 43(S1):120-125

[13] Zhao Liang, Li Sixian, Teng Junjie. Influencing Factors and Control Measures of incremental cost of prefabricated buildings in the whole life Cycle [J]. Construction Economics, 2022,43(11):98-104