摘要
在实施可持续发展战略的新形势下,传统的供应链已经难以满足现代企业长远发展的要求,因此必须进行自我革新,以跟进时代步伐,更快更好地适应当今社会的发展。文章构建了一种绿色供应链管理方案的多元优化模型,通过实例验证了该优化模型,使处理危险物质所产生的固有风险、相关碳排放和经济成本最小化,模型相关参数根据大数据分析得出,并给出了优化绿色供应链管理的三种方案。结果表明,相比于传统供应链,基于大数据分析得出的绿色供应链优化模型有一定的优势。
Under the new situation of implementing the strategic outline of sustainable economic development,the state should pay more attention to the establishment of environment-friendly rural communities.Traditional supply chain cannot meet the needs of the long-term development of modern enterprises,so we must innovate and follow the pace of the times to better adapt to the development of the society.In this paper,a multivariate optimization model of green supply chain management scheme is proposed,which is verified by an example to minimize the inherent risk,related carbon emission and economic cost.The results show that the green supply chain optimization model based on big data analysis has some advantages over the traditional supply chain.
作者
王云佩
WANG Yunpei(Sanya Aviation and Tourism College,Sanya 572000,China)
出处
《物流科技》
2022年第14期130-134,共5页
Logistics Sci-Tech
关键词
大数据
分析方法
绿色供应链
管理
优化
big data
analytical methods
green supply chain
administration
optimization
作者简介
王云佩(1987—),女,河北石家庄人,讲师,研究方向:物流管理、航空物流、民航货运。
