大数据环境下基于BP神经网络的建筑企业供应商选择
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摘要
大数据时代,企业拥有并利用大数据的能力成为获取未来竞争优势的关键。然而目前大数据技术在建筑行业的应用尚未有完整的解决方案,聚焦建筑企业供应商选择问题,提出了一种将大数据应用于供应商评价与选择的新思路。首先构建了基于大数据的供应商选择指标体系,并提出了基于建筑大数据平台的数据获取模式,然后通过算例分析构建了基于BP神经网络的供应商选择模型,训练结果表明该模型能够适用于供应商的评价和选择。同时模型可以积累历史选择过程中的专家经验,无需重复计算便可得到新加入供应商的综合评价值,与已有供应商的综合评价值进行排序,即可得到最优供应商。
In the age of big data,it is important for enterprises to own and use big data to obtain the competitive advantages. However,the application of big data technology in the construction industry has not yet been a complete solution. This paper focuses on the supplier selection in construction enterprises and proposes a new method of applying big data to the field of supplier evaluation and selection. In this paper,a supplier selection index system based on big data is firstly constructed,and a data acquisition model based on data obtained from the construction industry is proposed. Then,through analyzing the case,a supplier selection model based on BP neural network is constructed and the feasibility of the model is verified. The results show that the model can be applied to supplier evaluation and selection. By applying the experience of experts gained in this model to the supplier evaluation and selection,the new supplier's comprehensive evaluation value can be obtained,and accordingly the optimal supplier can be obtained by sorting it with the existing supplier's comprehensive evaluation values.
In the age of big data,it is important for enterprises to own and use big data to obtain the competitive advantages. However,the application of big data technology in the construction industry has not yet been a complete solution. This paper focuses on the supplier selection in construction enterprises and proposes a new method of applying big data to the field of supplier evaluation and selection. In this paper,a supplier selection index system based on big data is firstly constructed,and a data acquisition model based on data obtained from the construction industry is proposed. Then,through analyzing the case,a supplier selection model based on BP neural network is constructed and the feasibility of the model is verified. The results show that the model can be applied to supplier evaluation and selection. By applying the experience of experts gained in this model to the supplier evaluation and selection,the new supplier's comprehensive evaluation value can be obtained,and accordingly the optimal supplier can be obtained by sorting it with the existing supplier's comprehensive evaluation values.
引文
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[11] Wang T K,Zhang Q,Chong H Y,et al. Integrated supplier selection framework in a resilient construction supply chain:an approach via analytic hierarchy process(AHP)and grey relational analysis(GRA)[J]. Sustainability,2017,9(2):289-1-26.
[12]刘帅,王红春.基于AHP方法的大数据供应商选择研究[J].物流工程与管理,2016,38(6):88-91.
[13]周清华,王琦,陈锂.基于直觉模糊集–TOPSIS的绿色供应商选择研究[J].系统科学学报,2017,25(1):94-98.
[14]杨斯玲,蒋根谋.基于灰色关联–集对分析的绿色建筑供应商选择[J].物流技术,2016,35(8):106-110.
[15]陈威威.基于ANP/TOPSIS的战略伙伴型建材供应商选择[J].土木工程与管理学报,2013,30(2):90-94.
[2]丁士昭.大数据时代下工程管理的思考[J].中国建筑金属结构,2014,(10):26-28.
[3] Chi S,Suk S J,Kang Y,et al. Development of a data mining-based analysis framework for multi-attribute construction project information[J]. Advanced Engineering Informatics,2012,26:574-581.
[4] Martínez-Rojas M,Marín N,Vila M A. The role of information technologies to address data handling in construction project management[J]. Journal of Computing in Civil Engineering,2016,30(4):04015064-1-20.
[5] Mathew P A,Dunn L N,Sohn M D,et al. Big-data for building energy performance:lessons from assembling a very large national database of building energy use[J]. Applied Energy,2015,140:85-93.
[6] Irizarry J,Karan E P,Jalaei F. Integrating BIM and GIS to improve the visual monitoring of construction supply chain management[J]. Automation in Construction,2013,31:241-254.
[7]王国堂.大数据环境下项目成本管理优化研究[J].经济论坛,2018,(1):111-114.
[8]赵世强,肖虎.大数据环境下工程造价信息化建设的思考[J].科技创新与应用,2016,(12):271-272.
[9]马智亮,刘世龙,刘喆.大数据技术及其在土木工程中的应用[J].土木建筑工程信息技术,2015,7(5):45-49.
[10]任晓宇,黄晨,田畅顺,等.建筑裂缝大数据处理平台架构[J].建筑技术,2018,49(1):61-64.
[11] Wang T K,Zhang Q,Chong H Y,et al. Integrated supplier selection framework in a resilient construction supply chain:an approach via analytic hierarchy process(AHP)and grey relational analysis(GRA)[J]. Sustainability,2017,9(2):289-1-26.
[12]刘帅,王红春.基于AHP方法的大数据供应商选择研究[J].物流工程与管理,2016,38(6):88-91.
[13]周清华,王琦,陈锂.基于直觉模糊集–TOPSIS的绿色供应商选择研究[J].系统科学学报,2017,25(1):94-98.
[14]杨斯玲,蒋根谋.基于灰色关联–集对分析的绿色建筑供应商选择[J].物流技术,2016,35(8):106-110.
[15]陈威威.基于ANP/TOPSIS的战略伙伴型建材供应商选择[J].土木工程与管理学报,2013,30(2):90-94.