本文二维码信息
二维码（扫一下试试看！）
Study on Univariate Statistical Process Monitoring of Paper Quality in Papermaking Process
Received:May 31, 2021  
DOI：10.11980/j.issn.0254-508X.2021.10.008
Key Words:statistical process control  control chart  process monitoring  papermaking processes
Fund Project:中国博士后科学基金资助项目（2021T140225）；广西清洁化制浆造纸与污染控制重点实验室开放基金资助项目（2021KF11）。
Author NameAffiliationPostcode
WANG Jinyong Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources， Nanjing Forestry University， Nanjing， Jiangsu Province， 210037 210037
ZHANG Fengshan Shandong Huatai Paper Industry Co.， Ltd.， Dongying， Shandong Province， 257335 257335
LIU Hongbin* Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources， Nanjing Forestry University， Nanjing， Jiangsu Province， 210037
Shandong Huatai Paper Industry Co.， Ltd.， Dongying， Shandong Province， 257335
Guangxi Key Lab of Clean Pulp & Papermaking and Pollution Control， Nanning， Guangxi Zhuang Autonomous Region， 530004 		530004
Hits: 2922
Download times: 1879
Abstract:The application of the Shewhart control chart and its improved method， exponentially weighted moving average （EWMA） control chart in the papermaking industry was studied. A total of 120 batches of offset paper production data from a domestic papermaking manufacturer from September 10 th to 20 th in 2020 were collected. The training set was used to draw the Shewhart control charts and EWMA control charts of offset paper basis weight， thickness， whiteness， bulk and surface water absorption. The validation set was used to verify the accuracy of the control charts. As a result， the Shewhart control chart could monitor the abnormalities in the production process and ensure the quality of paper on time. The monitoring standards of the EWMA control chart were too strict， so that its practicality was not as good as that of the Shewhart control chart.
View Full Text  HTML  View/Add Comment  Download reader