节点文献
基于贝叶斯理论的碳足迹统计过程控制研究
Statistical process control of carbon footprint with Bayesian theory
【摘要】 以车间制造执行系统(Manufacturing Execution System,MES)为依托,研究车间制造过程中的碳足迹,提出了工位碳排放的计算方法;将碳排放作为统计过程控制的重要质量特性,提出了基于贝叶斯理论的碳足迹统计过程控制模型,以实现工位碳足迹的实时监测。将该模型应用于某仪表制造企业MES中,验证了该模型的有效性。
【Abstract】 On the basis of Manufacturing Execution System(MES),the carbon footprint in the process of manufacturing workshop is researched and the calculation method of carbon emissions at the station level is proposed. In order to realize the real-time monitoring of carbon footprint at the station level,the carbon emissions is regarded as an important quality characteristics of statistical process control,and the statistical process control model of carbon footprint based on the Bayesian theory is puted forward. The model is applied to the MES of a instrument manufacturing enterprise and the effectiveness is demonstrated.
【Key words】 job shop; carbon footprint at the station level; Bayesian theory; statistical process control; real-time monitoring;
- 【文献出处】 现代制造工程 ,Modern Manufacturing Engineering , 编辑部邮箱 ,2018年03期
- 【分类号】TB497
- 【被引频次】3
- 【下载频次】294