现代制造工程Issue(3)：5-10,6.DOI:10.16731/j.cnki.1671-3133.2018.03.002
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
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 mo-nitoring of carbon footprint at the station level,the carbon emissions is regarded as an important quality characteristics of statisti-cal 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.关键词
加工车间/工位碳足迹/贝叶斯理论/统计过程控制/实时监控Key words
job shop/carbon footprint at the station level/Bayesian theory/statistical process control/real-time monitoring分类
机械制造引用本文复制引用
王修梓,李仁旺,曹衍龙,陈昆昌..基于贝叶斯理论的碳足迹统计过程控制研究[J].现代制造工程,2018,(3):5-10,6.基金项目
国家自然科学基金资助项目(51475434) （51475434）
国家自然科学基金重点项目(广东联合基金)(U1501248) （广东联合基金）
