Optimization Model Under Grouping Batch for Prefabricated Components Production Cost

Chang, Chun Guang

doi:10.1007/978-3-319-69096-4_8

Cited by 1 publication

(1 citation statement)

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“…The influencing factors during the construction stage mainly include component production cost (C 21 ), construction cost (C 22 ), dust pollution (C 24 ), noise pollution (C 25 ), and carbon emission (C 26 ). The component production cost and construction cost of prefabricated buildings are the main costs in the construction stage [19,20]. Transportation cost is the cost of transporting the produced parts from the processing plant to the construction site.…”

Section: Select Benefit Evaluation Indexmentioning

confidence: 99%

Benefit Evaluation Model of Prefabricated Buildings in Seasonally Frozen Regions

Zhao

Fediuk

et al. 2021

Energies

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In order to effectively develop the benefit evaluation model of prefabricated houses in seasonal frozen soil areas, and improve the comprehensive benefits of prefabricated buildings, this paper proposes a life cycle benefit evaluation model for prefabricated buildings in seasonally frozen regions. According to the climatic characteristics of the area, the impact of the seasonally frozen regions is listed as an evaluation index in the construction stage for comprehensive analysis. The 16 indicators that affect the comprehensive benefits of prefabricated buildings are grouped by the nearest neighbor element analysis method. Fuzzy cluster analysis and analytic hierarchy process are used to filter out the most influential index group to calculate the index weight. Then the model proposed in this paper is compared with the existing model to test the validity of the model. The research results show that research and development costs weight is 0.23, design cost weight is 0.10, construction cost weight is 0.22, resource consumption weight is 0.25, building demolition cost weight is 0.04, and seasonal freezing effect weight is 0.16. The calculation result passed the consistency test and the expert scoring result conformed to the normal distribution, which proved the accuracy of the conclusion. It is proposed that the calculation result of the comprehensive benefit score of the model is 1.8% lower than the previous results, which proves the validity of the model. The model can speed up the efficiency of comprehensive benefit evaluation of prefabricated buildings thereby improving the development level of prefabricated buildings.

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Section: Select Benefit Evaluation Indexmentioning

confidence: 99%