摘要
大数据时代已经悄然而至,企业通过数字化绩效分析可以观察出企业的运行状况,但大多数企业在进行绩效评价时,往往容易忽视供应链管理这一背景,供应链绩效评价可以兼顾企业内部及外部的改善需求。依赖供应链绩效驱动因素,特别是结合数字经济快速收集信息等作用,设计出供应链绩效下的数字经济成本控制模型,并通过层次分析法和解释结构模型集成进行评价,找到模型中影响企业收益的关键性因素结合企业实际进行完善,从而达到降低成本、获得供应链盈余和提高企业竞争力的作用。
The era of big data has come quietly.Companies can observe their operating conditions through digital performance analysis.However,most companies tend to ignore the background of supply chain management when performing performance evaluation.Supply chain performance evaluation can take into account the company internal and external improvement needs.Relying on the supply chain performance driving factors,especially combining the functions of the digital economy to quickly collect information,design a digital economy cost control model under the supply chain performance,and evaluate it through the integration of the analytic hierarchy process and interpretative structural modeling method to find the model that affects the company's revenue.The key factors of the company are improved in conjunction with the actual situation of the company,so as to reduce costs,obtain supply chain surplus and improve the competitiveness of the company.
作者
魏子秋
杜晓伟
底玉欣
孙明哲
WEI Ziqiu;DU Xiaowei;DI Yuxin;SUN Mingzhe(School of Economics and Management,Hebei University of Science and Technology,Shijiazhuang 050000,China)
出处
《物流科技》
2022年第5期163-167,共5页
Logistics Sci-Tech
关键词
供应链绩效
成本控制
层次分析法
解释结构模型
supply chain performance
cost control
analytic hierarchy process
interpretative structural modeling method
